The document discusses different metaphors for algorithms, including autonomous machines, Rube Goldberg devices, and the Mechanical Turk. It also discusses how search engine algorithms and rankings work, and how they have been described differently over time by Google. The document argues that algorithms are authored and can be manipulated in various ways.
SearchLove San Diego 2017 | Michael King | Machine DoingDistilled
Machine learning is a concept that has is turning science fiction into real technology today. However, the applications of this technology seem daunting to marketers. In this talk, Mike King shares how marketers can take advantage of machine learning using ready made tools and tactics without knowing how to code.
This document provides an overview of Google's various products and services including search basics, advanced search operators, Google Maps, Google Analytics, Google Webmaster Tools, Google Docs, Google Forms, and more. It outlines the key features and functionality of each tool and how users can utilize them to find information, get directions, analyze website traffic, check search engine optimization, and collaborate on documents.
SearchLove San Diego 2017 | Emily Grossman | The New MobileDistilled
How has mobile marketing changed in the past year and how should your business react to best prepare for 2017 and beyond? Emily will discuss the what future holds for mobile optimization and how to rise above the rest of the pack in a mobile-first world.
SearchLove San Diego 2017 | Rob Bucci | Snooping Into Google's Insights on Se...Distilled
Google is telling us what our customers are looking for; they've spent billions doing the research. All we have to do is pay attention. In this session, Rob will provide a guide for how you can take cues from Google, and create better strategies for gaining the attention of your customers at each stage of the purchase funnel.
SearchLove Boston 2016 | Emily Grossman | Mobile Jedi Mind Tricks: Master the...Distilled
May the mobile force be with you! There have been some big changes in mobile SEO, and the tactics that helped you yesterday may be as useless as a Stormtrooper’s blaster tomorrow. Instead, tap into the secret and subversive force of mobile marketing. From app indexing to mobile-friendliness, to predictive search and AMP, this session will explain the new skills that are required to be a mobile marketing hero.
This document provides an example of how to evaluate three websites used to complete a project. The evaluation should include assessing the ease of navigation, general user appeal, and quality and reliability of each source. For example, one source was easy to navigate with clear links, very user-friendly, and reliable as a governmental agency. Another source was somewhat confusing to navigate but had appealing, fast links and reliable information. The third source had unclear links and was not generally appealing but provided good, reliable college information.
The document provides an overview of effective search strategies for finding information on the internet:
- The internet consists of billions of web pages both publicly accessible and within private networks. Search engines only index a fraction of available pages.
- Key strategies for effective searching include choosing appropriate keywords, selecting the right search tools, and evaluating the reliability of information found.
- Much information is contained in the "deep web" of databases not accessible to search engines, requiring use of specialized search sites.
- Users should carefully evaluate websites for authority, credibility, accuracy, and potential biases before fully relying on information. Looking at the URL, domain, author credentials, and outside reviews can help assess reliability.
Adam Blitzer gave a keynote address on the state of demand in 2013. He discussed research showing that consumers now have over 60 marketing channels available to them, compared to just 5 in 1960. Consumers also complete more research online before making purchases, with most starting on Google and 76% returning to Google during the research process. Blitzer also summarized research finding that consumers want different types of content at different stages of the research process and purchase lifecycle. They prefer shorter form content for casual reading but are open to longer form content for in-depth research. Email remains a primary channel for ongoing communication with consumers.
SearchLove San Diego 2017 | Michael King | Machine DoingDistilled
Machine learning is a concept that has is turning science fiction into real technology today. However, the applications of this technology seem daunting to marketers. In this talk, Mike King shares how marketers can take advantage of machine learning using ready made tools and tactics without knowing how to code.
This document provides an overview of Google's various products and services including search basics, advanced search operators, Google Maps, Google Analytics, Google Webmaster Tools, Google Docs, Google Forms, and more. It outlines the key features and functionality of each tool and how users can utilize them to find information, get directions, analyze website traffic, check search engine optimization, and collaborate on documents.
SearchLove San Diego 2017 | Emily Grossman | The New MobileDistilled
How has mobile marketing changed in the past year and how should your business react to best prepare for 2017 and beyond? Emily will discuss the what future holds for mobile optimization and how to rise above the rest of the pack in a mobile-first world.
SearchLove San Diego 2017 | Rob Bucci | Snooping Into Google's Insights on Se...Distilled
Google is telling us what our customers are looking for; they've spent billions doing the research. All we have to do is pay attention. In this session, Rob will provide a guide for how you can take cues from Google, and create better strategies for gaining the attention of your customers at each stage of the purchase funnel.
SearchLove Boston 2016 | Emily Grossman | Mobile Jedi Mind Tricks: Master the...Distilled
May the mobile force be with you! There have been some big changes in mobile SEO, and the tactics that helped you yesterday may be as useless as a Stormtrooper’s blaster tomorrow. Instead, tap into the secret and subversive force of mobile marketing. From app indexing to mobile-friendliness, to predictive search and AMP, this session will explain the new skills that are required to be a mobile marketing hero.
This document provides an example of how to evaluate three websites used to complete a project. The evaluation should include assessing the ease of navigation, general user appeal, and quality and reliability of each source. For example, one source was easy to navigate with clear links, very user-friendly, and reliable as a governmental agency. Another source was somewhat confusing to navigate but had appealing, fast links and reliable information. The third source had unclear links and was not generally appealing but provided good, reliable college information.
The document provides an overview of effective search strategies for finding information on the internet:
- The internet consists of billions of web pages both publicly accessible and within private networks. Search engines only index a fraction of available pages.
- Key strategies for effective searching include choosing appropriate keywords, selecting the right search tools, and evaluating the reliability of information found.
- Much information is contained in the "deep web" of databases not accessible to search engines, requiring use of specialized search sites.
- Users should carefully evaluate websites for authority, credibility, accuracy, and potential biases before fully relying on information. Looking at the URL, domain, author credentials, and outside reviews can help assess reliability.
Adam Blitzer gave a keynote address on the state of demand in 2013. He discussed research showing that consumers now have over 60 marketing channels available to them, compared to just 5 in 1960. Consumers also complete more research online before making purchases, with most starting on Google and 76% returning to Google during the research process. Blitzer also summarized research finding that consumers want different types of content at different stages of the research process and purchase lifecycle. They prefer shorter form content for casual reading but are open to longer form content for in-depth research. Email remains a primary channel for ongoing communication with consumers.
ML & Automation in SEO - Traffic Think Tank Conference 2019Britney Muller
What is Machine Learning?
How can you use it to make your job more efficient?
What are the necessary tools and resources you need to get started?
Explore ways you can automate various SEO tasks today!
The Search Landscape is changing. Be prepared for the future by optimizing for featured snippets, compressing images to help improve page speed, leveraging machine learning, pruning your website, refurbishing your top content, and more.
This document discusses knowledge graphs and authorrank for international SEO. It provides an overview of knowledge graphs, how they are used by Google to power features like knowledge panels, and how brands can benefit. It also discusses authorrank and how having an online author presence and profile can influence search rankings, as Google increasingly looks at authorship and social signals in its algorithms.
SearchLove San Diego 2017 | Will Critchlow | Knowing Ranking Factors Won't Be...Distilled
Under Sundar Pichai, Google is doubling down on machine learning and artificial intelligence, and they're not the only ones. The impact of the robot revolution will not be limited to the ranking of search results, and the impacts on the job market are the subject of endless speculation. Will has been researching the parts of our digital marketing jobs that computers can do better than we can. In this talk, he'll explore the boundaries of human and computer capabilities and show you how to combine the strengths of both.
Central Limit Theorem on Pareto 1 DistributionMei-Yu Lee
#CLT #statistics #simulation
This is on the process of verifying central limit theorem for Case 3: Shifted exponential distribution.
🟡 5 research methods using Probability distribution simulator (see the ebook link).
The minimal sample size of the Pareto 1 distribution is affected by the parameter.
Video: https://youtu.be/X50mQsUcPGE
SearchLove London 2016 | Tom Anthony | SEO Split-Testing - How You can Run Te...Distilled
Google is a black box, and for almost 20 years SEOs have run experiments and tested ideas trying to understand what makes the search engine tick. Until recently, it's been really hard to run robust tests that isolate the effects of SEO changes. At Distilled, we have been using new tools and statistical approaches to run split-tests. In this session, Tom is going to talk about how you can run your own A/B tests, some of the experiments we've run and the results we've seen, and share some thoughts about the future of SEO testing.
Central Limit Theorem on 28 Distributions: Case of Normal DistributionMei-Yu Lee
There will be 28 documents to describe the process of the central limit theorem of the specific probability distribution distribution. This is the first case, Normal distribution.
Research method: there are five method to verify the central limit theorem on the case of Normal distribution.
(1) Verify the Z-score distribution, using the probability distribution simulator.
(2) Verify whether the moments are affected by n, using the probability distribution simulator.
(3) The first explained method by displaying the relationship of Xn and X1 + ... + Xn-1
(4) The second explained method by displaying the relationship of the front half of (X1, ..., Xn) and the rear half of (X1, ..., Xn)
(5) Compare the Z distribution and the Z-score of the sample mean.
Since X1, X2, ..., Xn are i.i.d. Normal distribution, the process can be shown by the simulating the distribution of the additive X random variables. However, Normal is Normal as the n increases, not by the central limit theorem. In this case, the outcome of the central limit theorem is just the property of Normal distribution.
SearchLove Boston 2016 | Will Critchlow | The Emerging Future of SearchDistilled
Will is going to discuss the ways that Distilled believes search is fundamentally changing, including compound queries, implicit search signals, user signals as a ranking factor, the move from keywords to intents, and the drive towards data-driven search.
SearchLove Boston 2016 | Larry Kim | Hacking RankBrain: Four Strategies You’l...Distilled
RankBrain debuted last year as Google's third most weighted ranking signal and is currently leveraged for obscure long tail queries. However as RankBrain is perfected and refined, it will likely be used on more queries and weighted more heavily, and even displace links and on-page SEO factors as Google’s #1 SEO ranking factor in the distant future: SEO judgement day. This session will reverse engineer how RankBrain actually works, exposing four critical vulnerabilities and share unusual, yet completely white-hat ways to benefit from future Rankbrain updates. The biggest SEO ranking factor shift of all time is underway, moving away from links and keywords towards Rankbrain user engagement signals. Attend this session if you want your rankings to live. Join the resistance today!
SearchLove London 2016 | Bridget Randolph | The Changing Landscape of Mobile ...Distilled
Mobile is becoming an increasingly important traffic channel, and given recent developments like app indexation and AMP (Accelerated Mobile Pages), as well as the addition of new types of devices like wearables and smart tech, understanding how it fits into the bigger search marketing picture is more crucial than ever. This session will take a look at the history of mobile search, how mobile search behaviour has impacted on desktop search, the growing significance of app content and developments such as AMP and app streaming within the search marketing landscape, and some thoughts on where the future of search is heading.
Central limit theorem-Arcsin distribution-Probability distribution simulatorMei-Yu Lee
#Statistics #centrallimittheorm #Simulation
This is the Case 5: Arcsin distribution to discuss the central limit theorem.
Arcsin distribution different from Normal distribution has the symmetric, bounded and extreme value with the high probability.
The parameters of Arcsin distribution does not affect the Z score distribution of the sum of X. The 1st, 2nd and 3rd moments are constant when the sample size (n) increases, but the 4th moment is affected by the sample size at the beginning (n is small).
The process of the central limit theorem for the Arcsin distribution can show how the sum of Xi which is from the Arcsin distribution approximates to Normal distribution. Since Arcsin distribution is a symmetric distribution, the sample size from 2 to 3 displays an apparently different shape for the sum of X1 and X1+X2. Only the sample size is larger than or equal to 50, the sum of Xi can approximate to Normal distribution.
Get e-book: https://www.amazon.com/dp/B09PFFN622 or scan the QR code.
#random #CLT #probabilitydistribution #probability #arcsin #distribution #process #learning
SearchLove San Diego 2017 | Tom Capper | Does Google Still Need Links?Distilled
This document summarizes a presentation on whether links are still important ranking factors for Google search. It discusses both sides of the argument. On one hand, Google says links are still important, but correlation studies on the relationship between links and rankings have been inconclusive. The document also presents data showing branded search volume may explain rankings more than domain authority from links. It concludes that while links may still help sites reach the top competitive tier, other factors like content, user experience, and brand awareness are increasingly important for determining search rankings. The key things SEOs should focus on next are optimizing for users through testing and improving content marketing to build their brand.
Page Speed Insights: The Ballad of Improving PerformanceJames McNulty
Site speed is important for your bottom line and understandably, with so many metrics and details, it can get confusing. This session should help the audience understand how important performance is to Google, and the why and how webmasters can take initiative to improve.
An algorithm can analyze photos and apply different artistic styles to them. Algorithms are also being used to detect emotions in text, translate between languages, and predict which social media posts will be more popular. However, algorithms also have limitations and risks, like introducing biases. Overall, algorithms can assist with creativity but human judgment is still important.
Optimizing Websites for Great User Experiences and Increased ConversionsWP Engine
Webinar featuring Google, Launch Digital Marketing and Xtreme Xperience who will share why site optimization is important, how to do it and business results associated with optimization.
Watch on-demand webinar: https://hs.wpengine.com/webinar-optimizing-ux-increased-conversions
The document discusses the challenges facing the progressive web and introduces progressive web apps (PWAs) as a solution. PWAs are built using modern web standards to provide native app-like experiences through features like push notifications, offline support, and app installation. They address issues with native apps like high installation friction, lack of control for publishers, and app store policies. PWAs are gaining adoption from companies like Alibaba and Housing.com who saw increases in user engagement metrics after implementing PWAs. The document outlines the core components of PWAs and provides an overview of browser and platform support.
This document discusses techniques for optimizing website performance on the client side. It begins by highlighting the negative impact of slow websites and studies showing users abandon sites that load slowly. The document then examines where time is spent loading webpages and argues for optimizing the frontend. Various optimization techniques are presented, including reducing requests, browser caching, minifying assets, async JavaScript loading, parallelizing requests, CSS sprites, and preloading. Case studies and tools for measuring and analyzing performance are also referenced throughout. The goal is to provide an overview of practical ways to optimize websites and the client-side experience for users.
Progressive Web Apps aim to bring the benefits of native mobile apps to the web. They use newer web capabilities like app manifests and service workers to deliver app-like experiences through the browser. App manifests allow web apps to be installed on home screens and launched full screen like native apps. Service workers enable features like offline access and push notifications. Early adopters are seeing increased user engagement through Progressive Web Apps, with metrics like conversions and time spent improving. While browser support is still evolving, Progressive Web Apps provide a promising approach for delivering high-quality mobile experiences through the web.
The document discusses the current and future state of SEO and content marketing. It covers foundational on-page SEO practices that are still important, such as quality content, page speed optimization, and engagement metrics. It also discusses emerging trends like predictive marketing, personalized content, natural language processing, and machine learning automation. The document provides advice on tools and strategies to analyze traffic, discover opportunities, and prepare for the future of SEO and content marketing.
This document provides an overview of Google, including its origins, evolution as a search engine, and key features. It discusses how Google works, how search results are ranked and determined, and tips for effective searching using basic and advanced operators. The document also lists additional Google tools and services and provides resources for further research.
ML & Automation in SEO - Traffic Think Tank Conference 2019Britney Muller
What is Machine Learning?
How can you use it to make your job more efficient?
What are the necessary tools and resources you need to get started?
Explore ways you can automate various SEO tasks today!
The Search Landscape is changing. Be prepared for the future by optimizing for featured snippets, compressing images to help improve page speed, leveraging machine learning, pruning your website, refurbishing your top content, and more.
This document discusses knowledge graphs and authorrank for international SEO. It provides an overview of knowledge graphs, how they are used by Google to power features like knowledge panels, and how brands can benefit. It also discusses authorrank and how having an online author presence and profile can influence search rankings, as Google increasingly looks at authorship and social signals in its algorithms.
SearchLove San Diego 2017 | Will Critchlow | Knowing Ranking Factors Won't Be...Distilled
Under Sundar Pichai, Google is doubling down on machine learning and artificial intelligence, and they're not the only ones. The impact of the robot revolution will not be limited to the ranking of search results, and the impacts on the job market are the subject of endless speculation. Will has been researching the parts of our digital marketing jobs that computers can do better than we can. In this talk, he'll explore the boundaries of human and computer capabilities and show you how to combine the strengths of both.
Central Limit Theorem on Pareto 1 DistributionMei-Yu Lee
#CLT #statistics #simulation
This is on the process of verifying central limit theorem for Case 3: Shifted exponential distribution.
🟡 5 research methods using Probability distribution simulator (see the ebook link).
The minimal sample size of the Pareto 1 distribution is affected by the parameter.
Video: https://youtu.be/X50mQsUcPGE
SearchLove London 2016 | Tom Anthony | SEO Split-Testing - How You can Run Te...Distilled
Google is a black box, and for almost 20 years SEOs have run experiments and tested ideas trying to understand what makes the search engine tick. Until recently, it's been really hard to run robust tests that isolate the effects of SEO changes. At Distilled, we have been using new tools and statistical approaches to run split-tests. In this session, Tom is going to talk about how you can run your own A/B tests, some of the experiments we've run and the results we've seen, and share some thoughts about the future of SEO testing.
Central Limit Theorem on 28 Distributions: Case of Normal DistributionMei-Yu Lee
There will be 28 documents to describe the process of the central limit theorem of the specific probability distribution distribution. This is the first case, Normal distribution.
Research method: there are five method to verify the central limit theorem on the case of Normal distribution.
(1) Verify the Z-score distribution, using the probability distribution simulator.
(2) Verify whether the moments are affected by n, using the probability distribution simulator.
(3) The first explained method by displaying the relationship of Xn and X1 + ... + Xn-1
(4) The second explained method by displaying the relationship of the front half of (X1, ..., Xn) and the rear half of (X1, ..., Xn)
(5) Compare the Z distribution and the Z-score of the sample mean.
Since X1, X2, ..., Xn are i.i.d. Normal distribution, the process can be shown by the simulating the distribution of the additive X random variables. However, Normal is Normal as the n increases, not by the central limit theorem. In this case, the outcome of the central limit theorem is just the property of Normal distribution.
SearchLove Boston 2016 | Will Critchlow | The Emerging Future of SearchDistilled
Will is going to discuss the ways that Distilled believes search is fundamentally changing, including compound queries, implicit search signals, user signals as a ranking factor, the move from keywords to intents, and the drive towards data-driven search.
SearchLove Boston 2016 | Larry Kim | Hacking RankBrain: Four Strategies You’l...Distilled
RankBrain debuted last year as Google's third most weighted ranking signal and is currently leveraged for obscure long tail queries. However as RankBrain is perfected and refined, it will likely be used on more queries and weighted more heavily, and even displace links and on-page SEO factors as Google’s #1 SEO ranking factor in the distant future: SEO judgement day. This session will reverse engineer how RankBrain actually works, exposing four critical vulnerabilities and share unusual, yet completely white-hat ways to benefit from future Rankbrain updates. The biggest SEO ranking factor shift of all time is underway, moving away from links and keywords towards Rankbrain user engagement signals. Attend this session if you want your rankings to live. Join the resistance today!
SearchLove London 2016 | Bridget Randolph | The Changing Landscape of Mobile ...Distilled
Mobile is becoming an increasingly important traffic channel, and given recent developments like app indexation and AMP (Accelerated Mobile Pages), as well as the addition of new types of devices like wearables and smart tech, understanding how it fits into the bigger search marketing picture is more crucial than ever. This session will take a look at the history of mobile search, how mobile search behaviour has impacted on desktop search, the growing significance of app content and developments such as AMP and app streaming within the search marketing landscape, and some thoughts on where the future of search is heading.
Central limit theorem-Arcsin distribution-Probability distribution simulatorMei-Yu Lee
#Statistics #centrallimittheorm #Simulation
This is the Case 5: Arcsin distribution to discuss the central limit theorem.
Arcsin distribution different from Normal distribution has the symmetric, bounded and extreme value with the high probability.
The parameters of Arcsin distribution does not affect the Z score distribution of the sum of X. The 1st, 2nd and 3rd moments are constant when the sample size (n) increases, but the 4th moment is affected by the sample size at the beginning (n is small).
The process of the central limit theorem for the Arcsin distribution can show how the sum of Xi which is from the Arcsin distribution approximates to Normal distribution. Since Arcsin distribution is a symmetric distribution, the sample size from 2 to 3 displays an apparently different shape for the sum of X1 and X1+X2. Only the sample size is larger than or equal to 50, the sum of Xi can approximate to Normal distribution.
Get e-book: https://www.amazon.com/dp/B09PFFN622 or scan the QR code.
#random #CLT #probabilitydistribution #probability #arcsin #distribution #process #learning
SearchLove San Diego 2017 | Tom Capper | Does Google Still Need Links?Distilled
This document summarizes a presentation on whether links are still important ranking factors for Google search. It discusses both sides of the argument. On one hand, Google says links are still important, but correlation studies on the relationship between links and rankings have been inconclusive. The document also presents data showing branded search volume may explain rankings more than domain authority from links. It concludes that while links may still help sites reach the top competitive tier, other factors like content, user experience, and brand awareness are increasingly important for determining search rankings. The key things SEOs should focus on next are optimizing for users through testing and improving content marketing to build their brand.
Page Speed Insights: The Ballad of Improving PerformanceJames McNulty
Site speed is important for your bottom line and understandably, with so many metrics and details, it can get confusing. This session should help the audience understand how important performance is to Google, and the why and how webmasters can take initiative to improve.
An algorithm can analyze photos and apply different artistic styles to them. Algorithms are also being used to detect emotions in text, translate between languages, and predict which social media posts will be more popular. However, algorithms also have limitations and risks, like introducing biases. Overall, algorithms can assist with creativity but human judgment is still important.
Optimizing Websites for Great User Experiences and Increased ConversionsWP Engine
Webinar featuring Google, Launch Digital Marketing and Xtreme Xperience who will share why site optimization is important, how to do it and business results associated with optimization.
Watch on-demand webinar: https://hs.wpengine.com/webinar-optimizing-ux-increased-conversions
The document discusses the challenges facing the progressive web and introduces progressive web apps (PWAs) as a solution. PWAs are built using modern web standards to provide native app-like experiences through features like push notifications, offline support, and app installation. They address issues with native apps like high installation friction, lack of control for publishers, and app store policies. PWAs are gaining adoption from companies like Alibaba and Housing.com who saw increases in user engagement metrics after implementing PWAs. The document outlines the core components of PWAs and provides an overview of browser and platform support.
This document discusses techniques for optimizing website performance on the client side. It begins by highlighting the negative impact of slow websites and studies showing users abandon sites that load slowly. The document then examines where time is spent loading webpages and argues for optimizing the frontend. Various optimization techniques are presented, including reducing requests, browser caching, minifying assets, async JavaScript loading, parallelizing requests, CSS sprites, and preloading. Case studies and tools for measuring and analyzing performance are also referenced throughout. The goal is to provide an overview of practical ways to optimize websites and the client-side experience for users.
Progressive Web Apps aim to bring the benefits of native mobile apps to the web. They use newer web capabilities like app manifests and service workers to deliver app-like experiences through the browser. App manifests allow web apps to be installed on home screens and launched full screen like native apps. Service workers enable features like offline access and push notifications. Early adopters are seeing increased user engagement through Progressive Web Apps, with metrics like conversions and time spent improving. While browser support is still evolving, Progressive Web Apps provide a promising approach for delivering high-quality mobile experiences through the web.
The document discusses the current and future state of SEO and content marketing. It covers foundational on-page SEO practices that are still important, such as quality content, page speed optimization, and engagement metrics. It also discusses emerging trends like predictive marketing, personalized content, natural language processing, and machine learning automation. The document provides advice on tools and strategies to analyze traffic, discover opportunities, and prepare for the future of SEO and content marketing.
This document provides an overview of Google, including its origins, evolution as a search engine, and key features. It discusses how Google works, how search results are ranked and determined, and tips for effective searching using basic and advanced operators. The document also lists additional Google tools and services and provides resources for further research.
The document discusses the rise of social media and its implications for Cooperative Extension. It notes that social media adoption has moved past the experimental phase and is now becoming pervasive. It encourages Extension to go where people are online by using popular social networks like Facebook and Twitter as well as tools like RSS feeds. By learning new technologies, building online networks, and filtering information, Extension can stay current and continue its mission of education in the digital age.
Everything you wanted to know about crawling, but didn't know where to askBill Slawski
Crawlers and spiders were developed in the early days of the web to index important web pages. Key factors for important pages included containing relevant words, having many backlinks and a high PageRank. Search engines developed ways for crawlers to identify and prioritize important pages through techniques like following links and analyzing site structure. Techniques like XML sitemaps and rel="canonical" help crawlers understand a site's structure and identify the best version of a page. Social media is also now being analyzed to help determine page importance. Crawlers have become more sophisticated over time but still rely on techniques like following links and analyzing site structure and links.
When responsive web design meets the real worldJason Grigsby
The document discusses responsive web design and some of the challenges it faces. It recommends adopting a mobile first approach where the mobile styles are defined first before desktop styles, allowing for a progressive enhancement. It also emphasizes the importance of performance and ensuring responsive designs are not just focused on layout but also on optimizing for speed. Key techniques discussed include building mobile first, reordering media queries, keeping basic styles outside queries, and scoping images within media queries to avoid unnecessary downloads.
The document discusses best practices for worry-free web development, including layering HTML, CSS, and JavaScript to avoid dependencies between technologies. It recommends building HTML first to ensure important content is present without other technologies, then using JavaScript and CSS as enhancements. JavaScript should be added unobtrusively and not be relied on to show hidden content, to maintain accessibility. Seeking out and implementing best practices and layering technologies are emphasized as ways to develop websites robustly.
The session includes a brief history of the evolution of search before diving into the roles technology, content, and links play in developing a powerful SEO strategy in a world of Generative AI and social search. Discover how to optimize for TikTok searches, Google's Gemini, and Search Generative Experience while developing a powerful arsenal of tools and templates to help maximize the effectiveness of your SEO initiatives.
Key Takeaways:
Understand how search engines work
Be able to find out where your users search
Know what is required for each discipline of SEO
Feel confident creating an SEO Plan
Confidently measure SEO performance
Hugs instead of Bugs: Dreaming of Quality Tools for Devs and TestersAndreas Grabner
I have a Dream that Testers extend their horizon and toolsets and not only test for functional correctness but make a step towards what developers need in order to fix critical issues. I am talking about architectural, scalability and performance metrics such as # of JS Files on a page, Page Size, # of SQL Statements, # of Log Messages Written.
If Testers start to capture this information as well and share it with their bug description I am sure it will both increase the value of testers as well as reduce the total time it takes to fix problems.
The document discusses SearchMonkey, an open platform from Yahoo! that allows developers to build structured data into search results. It presents several approaches for providing structured data to SearchMonkey, including embedding RDF or microformats directly into web pages, generating a DataRSS feed from a database, extracting data via XSLT, or calling a remote web service. The document encourages developers to prototype with XSLT initially and provides resources for learning more about SearchMonkey and structured data standards.
10 Things Webdesigners tend to do Wrong in SEO - SMX 2014Timon Hartung
Tim Hartung gives a presentation on common mistakes in SEO and how to avoid them. Some of the key points he discusses are:
- Using Google Webmaster Tools to find 404 errors on your site and submit your XML sitemap.
- Ensuring your XML sitemap is up-to-date and checking it for broken links to improve your crawl rate.
- Being careful with your robots.txt file as incorrectly blocking bots can prevent them from crawling your site.
- Optimizing for site speed as it is one of Google's ranking factors and users prefer faster sites.
- Implementing Schema.org structured data and Rel=Author to increase click through rates on search results.
Christian Heilmann gives advice on how to succeed on the open web. He recommends focusing on building for the web using existing web technologies and APIs rather than proprietary systems. Specifically, he suggests starting with Yahoo! Query Language (YQL) to build and test APIs by accessing and combining data from various web services and sites. By making APIs and data openly available, it can help developers and others build on your work, which in turn helps gain recognition and an audience on the web. Overall, the key is leveraging existing web technologies and standards through open collaboration rather than trying to do everything alone or reinventing the wheel.
This document discusses real user monitoring (RUM) which involves collecting performance metrics directly from end user browsers through JavaScript instrumentation. It provides a brief history of RUM including key contributors. The challenges with RUM including data volume are presented, as well as how RUM compares to synthetic monitoring. The importance of understanding business metrics and mapping performance data to key performance indicators is emphasized.
Similar to Algorithmic Rhetoric and Search Literacy #hastac2011 (20)
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
ScyllaDB is making a major architecture shift. We’re moving from vNode replication to tablets – fragments of tables that are distributed independently, enabling dynamic data distribution and extreme elasticity. In this keynote, ScyllaDB co-founder and CTO Avi Kivity explains the reason for this shift, provides a look at the implementation and roadmap, and shares how this shift benefits ScyllaDB users.
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
"What does it really mean for your system to be available, or how to define w...Fwdays
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
21. 2011, p. 66 "A site's ranking in Google's search results is automatically determined by computer algorithms using thousands of factors to calculate a page's relevance to a given query" was changed to "A site's ranking in Google's search results relies heavily on computer algorithms using thousands of factors to calculate a page's relevance to a given query."
25. 1998, p. 12 "These types of personalized PageRanks are virtually immune to manipulation by commercial interests. For a page to get a high PageRank, it must convince an important page, or a lot of non-important pages to link to it. At worst, you can have manipulation in the form of buying advertisements(links) on important sites."
Our culture has been trained to separate technical and scientific knowledge from the contingencies of other forms of human knowledge, and to a great extent digital technologies have adopted this mantle of objectivity.
Yet, science isn't necessarily a strict 1-to-1 interpretation of the world; rather, science is an argument, and, just as science is a social process by which the world is enacted, the hardware and software that make up computer technology are socially enacted as well.
In other words, like all human efforts, the design and production of computer software and other digital technologies is influenced by the individuals who create it, their assumptions about the world, and, crucially, the ways in which those technologies enact the world and attempt to persuade their users that that enacting is the best or correct one.
To the extent that technologies are socially enacted attempts to persuade their users that they are true or correct, they are rhetorical. This talk is part of a larger project which focuses on a number of rhetorical aspects of search, but in this talk I want to discuss the persuasive functions of rhetoric.
Specifically: How did Google convince us that an algorithm can stand in for truth? That is, that it can deliver the best —or most correct—"answers" to our queries?
First, autonomous machines. With this metaphor, algorithms are considered to be independent of their human creators. Once set loose, they operate perfectly according to their parameters.
Or not.
A positive example of such an algorithm would be a calculator program which could utilize algorithms designed to return only a predefined set of answers. This metaphor emphasizes the independent, objective nature of algorithms; calculators don't make judgments, they calculate. We know when they make errors because they don't deal in contingencies, but these errors deal with issues directly connected to observable reality. In other words, they are right or wrong.
A second metaphor for algorithms is the Rube Goldberg device.
Rube Goldberg devices are incredibly complex ways of completing relatively simple tasks. Similarly, tasks that are simple to us—picking the music you like—are highly complex when enacted in software.
Consider the complexity involved with such algorithms as Pandora's stations or Amazon's recommendations. If we think of algorithms as Rube Goldberg devices we are recognizing that they are complex, meticulous technologies that require patience and exactitude to create.
The slightest misstep causes them to fail, and all that effort goes into what seem to be even the most trivial of tasks. In other words, the algorithm as Rube Goldberg device is complex, finicky, are easy to break and allow for little margin for error.
The final metaphor I wish to discuss is the Mechanical Turk.
The algorithm as Mechanical Turk is like the famous chess-playing "machine ” which relied on an operator hidden inside. When viewed in this way, algorithms are recognized to give the appearance of autonomous behavior, but maintaining this semblance of autonomous action requires frequent tinkering and is dependent on guidance from human controllers. Like the Mechanical Turk, this metaphor emphasizes that algorithms are mechanical, in that they have features that enhance the speed or accuracy of these human decisions, but they are not autonomous.
Google labors mightily to convince its users that its algorithm is an autonomous machine, or at least a Rube Goldberg device, when in reality it is a Mechanical Turk.
In their original paper on PageRank, the authors write that PageRank is "a method for rating Web pages objectively and mechanically" (1).
Vaidhyanathan explains how Google avoided problems with the French government over the display of anti-semitic websites in search results, by echoing this language, explaining how they relied on the "automatic" features of its search algorithm to convince regulators of the autonomous nature of these results.
However, even after Google removed the "automatic" from the description, it left a description designed to give the impression that the algorithm delivered mechanical or objective search results. This is reinforced by the reference to the "thousands of factors" and the "calculat[ions]" that determine the results.
One reason Google might encourage this connection is our cultural assumption that machines aren't capable of deception or other forms of obfuscation. That is, they are “ objective ” and don't lie. Garbage in, garbage out. They have inputs and outputs, but the quality of the output depends on the input, not on the algorithm that processes it. Such thinking reinforces the idea that algorithms are neutral in the process of producing information.
However, the algorithm itself is a contingent intervention in information habits that depends entirely on the biases and decisions made by its creators. That is, if garbage in garbage out applies to what we feed algorithms, it applies to algorithms themselves. This has always been the case.
In their 1998 paper on PageRank, the most widely-known component of Google's search engine, the authors wrote:
Of course, that's exactly what people did, and in response, the NY Times reported Google altered its algorithm to fight back against content farms designed to increase page views.
Not only can algorithms be manipulated, they make huge mistakes. Consider the case of DecorMyEyes.com and owner Vitaly Borker. Here, Borker found a flaw in the algorithm that apparently drove traffic to sites based on the frequency of online discussion, regardless of whether or not the discussion was positive ("I like DecorMyEyes.com") or negative ("the owner threatened to come to my house and sexually assault me").
It is another example of a how a task that isn't a problem for us can be a problem for an algorithm, and therefore it requires human intervention. Of course, Google makes these interventions. According to a NYTimes article, Google makes "500 changes a year to the algorithm", or more than one change every day.
Recognizing this intervention illustrates the extent to which Google is not involved in the search for perfect results: instead, they are engaged in a dialectical struggle with spammers about who gets to decide what counts as "good results." Which returns us to the very notion of autonomous algorithms. Even they require some form of intervention. Calculators don't calculate autonomously, but rather require human input.
And their results are culturally influenced: my calculator doesn't calculate problems using base-6 or base-60 number systems.
In reality, the prototype for an autonomous machine algorithm is the infinite loop: it continues forever, without human intervention, entirely self-sustainable. But infinite loops are most often not useful sources of information. In reality, all algorithms are to some extent mechanical Turks. This doesn ’ t take away from their usefulness, but it does challenge us to think about their outputs differently, as contingent, rhetorical productions.
If algorithms are rhetorical, what benefit do we get from thinking about them in this way? That is, why does it matter? It helps us to realize that the results produced by algorithmic processes—including search engine results—are not objective truths, but rather are contingent on the assumptions and intentions of the authors who created them.
Because Google has done an excellent job of convincing its users that it's results are accurate—that is, that they are a stand in for reading actual site reviews, or other forms of information literacy—its continuing struggle to maintain this accuracy should give us pause.
This is not to say that what these algorithms produce can't be considered "true" or accurate, or that some algorithms don't produce superior results than others; rather, it is to say that algorithms are social constructions dependent on interaction with their creators and users, just like this Google doodle. As such, information seekers must examine the information available about these algorithms and the contingencies that produced them if they wish to come to reliable conclusions about that information.
Examining these contingencies is an important a factor in digital literacy, or what Howard Rheingold has called "infotention. ” It is as important as the examination of the publication history of printed texts—the name and affiliation of the author(s), who printed it, what form it was printed in, how it was edited, etc.—was for print literacy. (Lanham) Rhetoric was the original infotention, a way of thinking about the ways that information is packaged—in emotion, in style, in culture.
Understanding the extent of this cultural and social effect on an algorithm—including the authors, their presuppositions, the occasion for the text and the way in which the authors tried to adjust the text for the needs of a specific audience—helps information seekers to gauge the extent to which an algorithm can be bent to ends that make its original goals unrecognizable, and it can be extremely helpful tool for understanding the rhetorical impact of a particular set of search results.