Google introduced the Hummingbird algorithm in 2013 to improve search results. Hummingbird analyzes longer, more complex questions to provide more direct answers compared to previous algorithms like Panda and Penguin. It uses information like user location and interests to personalize results. The algorithm also leverages Google's Knowledge Graph to understand context and relationships to better answer follow-up questions. Hummingbird aims to have a more human-like conversation with users through its semantic search capabilities.
The document discusses Google's Hummingbird algorithm which was announced in 2013. It aims to deliver faster and more precise search results by understanding the full context and meaning of search queries, rather than just individual words. This allows Google to return more relevant and comparative results, especially for voice searches or follow-up questions on a topic. The algorithm enhances Google's use of the Knowledge Graph and page ranking system to better identify and rank pages that answer the user's intended query.
Google introduced a new search algorithm called Hummingbird that processes search queries differently than previous algorithms. Hummingbird considers the meaning and context of the entire search query, including relationships between words, rather than just matching individual keywords. This allows Google to better understand users' intents and provide more relevant and conversational search results. The Hummingbird algorithm leverages technologies like semantic search, voice search, and Google's Knowledge Graph database to help answer complex queries directly or assist with follow-up searches.
I was looking for Google Hummingbird update but till now no one has written it, so i decided to make a PPT on Google Humming bird update by collecting knowledge from different resource.
http://dublin.fortuneinnovations.com/
Google introduced its new Hummingbird search algorithm in 2013 to improve how it understands the contextual meaning and intent behind search queries, moving from a keyword-based approach to one based on full sentences, conversations, and semantics. The algorithm aims to return more relevant results that directly answer the user's question or intent rather than just matching keywords. It analyzes the relationship between words and uses information like search history and location to further contextualize results for each user.
Google uses complex algorithms to rank websites in search results. The main algorithms include PageRank, Penguin, Panda, and Hummingbird. PageRank is the original algorithm that analyzes backlinks to determine importance. Penguin penalizes spam sites and paid links. Panda targets low-quality "content farms." Hummingbird incorporates previous algorithms and aims to better understand search queries through techniques like semantic search, location data, and knowledge graphs to provide more relevant, personalized results. It seeks to answer questions more conversationally rather than just returning keywords.
Google's Hummingbird algorithm is one of the most significant changes to search since 2010 and will affect 90% of searches. It understands user intent better by using synonyms, context and Google's Knowledge Graph to better map queries to relevant pages. Website owners should focus on expanding detailed content, answering common user questions directly on their sites, and optimizing for Knowledge Graph and mobile searches.
Google introduced the Hummingbird algorithm in 2013 to improve search results. Hummingbird analyzes longer, more complex questions to provide more direct answers compared to previous algorithms like Panda and Penguin. It uses information like user location and interests to personalize results. The algorithm also leverages Google's Knowledge Graph to understand context and relationships to better answer follow-up questions. Hummingbird aims to have a more human-like conversation with users through its semantic search capabilities.
The document discusses Google's Hummingbird algorithm which was announced in 2013. It aims to deliver faster and more precise search results by understanding the full context and meaning of search queries, rather than just individual words. This allows Google to return more relevant and comparative results, especially for voice searches or follow-up questions on a topic. The algorithm enhances Google's use of the Knowledge Graph and page ranking system to better identify and rank pages that answer the user's intended query.
Google introduced a new search algorithm called Hummingbird that processes search queries differently than previous algorithms. Hummingbird considers the meaning and context of the entire search query, including relationships between words, rather than just matching individual keywords. This allows Google to better understand users' intents and provide more relevant and conversational search results. The Hummingbird algorithm leverages technologies like semantic search, voice search, and Google's Knowledge Graph database to help answer complex queries directly or assist with follow-up searches.
I was looking for Google Hummingbird update but till now no one has written it, so i decided to make a PPT on Google Humming bird update by collecting knowledge from different resource.
http://dublin.fortuneinnovations.com/
Google introduced its new Hummingbird search algorithm in 2013 to improve how it understands the contextual meaning and intent behind search queries, moving from a keyword-based approach to one based on full sentences, conversations, and semantics. The algorithm aims to return more relevant results that directly answer the user's question or intent rather than just matching keywords. It analyzes the relationship between words and uses information like search history and location to further contextualize results for each user.
Google uses complex algorithms to rank websites in search results. The main algorithms include PageRank, Penguin, Panda, and Hummingbird. PageRank is the original algorithm that analyzes backlinks to determine importance. Penguin penalizes spam sites and paid links. Panda targets low-quality "content farms." Hummingbird incorporates previous algorithms and aims to better understand search queries through techniques like semantic search, location data, and knowledge graphs to provide more relevant, personalized results. It seeks to answer questions more conversationally rather than just returning keywords.
Google's Hummingbird algorithm is one of the most significant changes to search since 2010 and will affect 90% of searches. It understands user intent better by using synonyms, context and Google's Knowledge Graph to better map queries to relevant pages. Website owners should focus on expanding detailed content, answering common user questions directly on their sites, and optimizing for Knowledge Graph and mobile searches.
This document discusses various Google search algorithms such as Panda, Penguin, Hummingbird, and Pigeon and how they impact bloggers and SEO. It provides information on how each algorithm addresses issues like low-quality content, spam backlinks, meaning-based searches, and local search optimization. The key points are that Google regularly updates its algorithms to improve search quality and penalize poor practices like content spamming or using unethical link building. Bloggers need to focus on unique, high-quality content and avoid black hat SEO to maintain good rankings over time.
Google Algorithm Updates are criterion that google uses in their search results to deliver more targeted results to the users. Google Algorithm Updates have major impact on SEO. Learn about important google updations
Google updated its search algorithm, called Hummingbird, to better understand natural language queries and questions rather than just keywords (1). This change was meant to keep Google relevant as people's search habits evolve to include more complex queries through voice and on mobile (2). With Hummingbird, Google can now analyze the intent and context behind questions, returning more relevant results like reviews, blogs and local information rather than just listings (3).
Hummingbird Proof eCommerce SEO Planning - #BrightonSEO April 2014Kunle Campbell
Google's Hummingbird update was a major rewrite of its search algorithm focused on understanding search queries through entities and relationships rather than just keywords. This has implications for e-commerce sites, which should optimize to be recognized as entities, build relationships between products and categories, and focus on answering queries through in-depth content rather than just keywords. They also need to optimize for voice and mobile search through measures like prioritizing local search results and ensuring their content is accessible across devices.
This document provides information about Google's Hummingbird update, which aims to better understand the contextual meaning and intent behind search queries. Some key points:
- Hummingbird was announced in September 2013 and affects how Google ranks pages for search results.
- It considers the full question or phrase rather than just keywords, especially for conversational or voice searches.
- To adapt, websites need to optimize content and keywords for common related search terms and questions about their business or industry.
- Proper use of keywords in anchors and surrounding text, as well as participation in knowledge panels can help websites remain relevant under Hummingbird.
Google Hummingbird and Semantic Search - An UpdateEric Enge
Google's Hummingbird landed in September of 2013. Yet it was a soft landing with few noticing its impact, even though Google told us it impacted 90% of queries.
In this presentation at MN Search in Minneapolis, I provide an update on what's going on, and how the impact is becoming very real in 2014.
This document summarizes the history and evolution of search engines from the early 1990s to present day. It discusses the first search engines like Archie, Veronica, and Jughead and how they indexed early internet content. It then explains why Google became dominant by providing more relevant and faster search results using PageRank and analyzing link structure. The document outlines Google's original and subsequent algorithms and ranking factors for organic and local search results. It also notes Google's use of over 200 signals and semantic analysis to continuously improve search relevancy.
Google has introduced a new search algorithm called Hummingbird that is designed to better understand the meaning and context behind search queries. Hummingbird still uses aspects of previous algorithms like Panda and Penguin, but represents an entirely new system. It aims to go beyond just finding pages that match search terms and instead comprehend concepts like locations, specific products, and the intent behind questions. The update could help Google return more relevant results by grasping the actual topic being searched for rather than solely matching keywords.
Google Hummingbird - What does it mean for SEO?Chris Schweppe
What is the Google Hummingbird algorithm's impact on SEO? Understanding the intent behind Hummingbird is key to predicting what it will mean to SEO today and tomorrow. In this POV presentation from Ogilvy subsidiary Global Strategies, Ken Shults outlines the implications of Google's focus shift from keywords to entities.
Semantics and Search by Upasna Gautam at PubCon Austin 2018Upasna Gautam
What is semantic search, how has Google developed its algorithm to become more semantic, and how can you develop your SEO strategy to better align with these updates.
The future is here and the future are Graph Databases! Have a lot of interconnected data dat you want to extract value and meaning from it? Having too many joins that are running too slow? Do you want to do Real-Time Recommendations? Read this!
Google search operators allow users to refine search queries for more specific results. There are over 30 different operators that can be used to search by keyword, phrase, domain, file type, and other parameters. Some key operators include quotation marks to force exact matches, plus/minus signs to include or exclude terms, and site: to limit results to a specific domain. Mastering these search operators allows users to gain control over search results and find information more efficiently on Google.
Google provides a powerful search engine that indexes web pages. It allows for various search techniques like phrase searches using quotes, Boolean logic using AND, OR and parentheses, negation using dashes, and including synonyms using tildes. Google ignores common words by default but they can be explicitly included using plus signs. The site, inurl and related syntaxes allow narrowing searches to specific sites, URLs or related pages. Number ranges and wildcards can be used. The Feeling Lucky button directly takes users to the top search result. Within-results searching allows refining an initial result set.
SEO (search engine optimization) involves optimizing websites and webpages to appear high in search engine results. It includes ensuring websites are indexed by search engine bots and that all content pages are visible. SEO brings together marketing and strategy - while original, optimized content is important, performance means little without good marketing and a solid strategy. Key factors search engines consider include page rank, backlinks, meta tags, and keyword optimization.
This document outlines various search secrets for using Google Search more effectively. Some key secrets include using special keywords and operators like "define:", "info:", exact phrase matching with double quotes, the OR operator, number ranges with "..", and the asterisk wildcard. It also provides tips for translating text, checking weather, filtering by file type or site, ignoring specific search results, finding related keywords, looking up flight information, and using Google for unit conversions and math calculations. The document aims to showcase how Google Search can be used for more than just general web searches.
This document provides an overview of advanced search techniques for Google:
- It discusses the differences between web searching and database searching, noting that web searches can return many more results but are mainly keyword searches of entire websites.
- It covers basic search tips for Google like using relevant keywords and important words rather than full sentences.
- Various Boolean operators that can be used in Google searches are explained, such as AND, OR, and NOT, as well as other search limiters like phrase searching, excluding terms, linking terms, and searching specific sites or filetypes.
- Links are provided for more information on Google's advanced search techniques.
Entireweb review over 150 million searches per month with website submission ...joelmaster
Entireweb is one of the broadly utilized web indexes for getting to
the query items according to the client's input and starting the site
accommodation processes all over the web crawlers. According to
the site, an entirety of more than 150 million ventures on various
inquiries gets dealt with effectively by mirroring the specific query
items.
Like the Google web index, one can get to observe the website
pages, pictures, and surprisingly the web-based media webpage
results focusing on the specific inquiry term. These three superfamous pursuit types make Entireweb a most loved web search tool
the whole way across the world. Concerning Social Media, one can
even get to find the most pertinent Tweets by means of Twitter,
significant pages through Facebook.
This document provides information about Google Search and search engines. It discusses how search engines work and lists some of the major search engines. It provides background on Google's founding and growth. The document outlines several search operators and tips for using them, such as using quotation marks, AND/OR, wildcards, and excluding terms. It also discusses searching specific file types, unit conversions directly in search, and searching offline without an internet connection.
Google has stated that Hummingbird applies to up to 90% of search queries, making its effects nearly universal. Are you feeding the Google Hummingbird? We have some optimization steps.
Bearish SEO: Defining the User Experience for Google’s Panda Search LandscapeMarianne Sweeny
The search sun shifted in March 2011 when Google started rolling out the beginning of the Panda update. Instead of using the famous PageRank, a link-based relevance calculation, Panda rests on a machine interpretation of user experience to decide which sites are most relevant to a searchers quest for knowledge. This means that IA and UX practitioners need to start thinking about the machine implications of the way they structure information on the web, and think ahead about the human implications for how search engines present their sites in response to searcher queries. Bearish SEO will present real, actionable methods for content providers, information architects and user experience designers to directly influence search engine discoverability. Need is an experience. It is a state of being. The goal for this presentation is to ensure that user experience professionals become an integral part of designing search experience.
Fundamentals of SEO - Introduction to Search Engines - How the Search Engine Works - Components of Search Engine - Google Algorithms - Google Results Page - Panda, Penguin, Humming Bird & Pigeon
This document discusses various Google search algorithms such as Panda, Penguin, Hummingbird, and Pigeon and how they impact bloggers and SEO. It provides information on how each algorithm addresses issues like low-quality content, spam backlinks, meaning-based searches, and local search optimization. The key points are that Google regularly updates its algorithms to improve search quality and penalize poor practices like content spamming or using unethical link building. Bloggers need to focus on unique, high-quality content and avoid black hat SEO to maintain good rankings over time.
Google Algorithm Updates are criterion that google uses in their search results to deliver more targeted results to the users. Google Algorithm Updates have major impact on SEO. Learn about important google updations
Google updated its search algorithm, called Hummingbird, to better understand natural language queries and questions rather than just keywords (1). This change was meant to keep Google relevant as people's search habits evolve to include more complex queries through voice and on mobile (2). With Hummingbird, Google can now analyze the intent and context behind questions, returning more relevant results like reviews, blogs and local information rather than just listings (3).
Hummingbird Proof eCommerce SEO Planning - #BrightonSEO April 2014Kunle Campbell
Google's Hummingbird update was a major rewrite of its search algorithm focused on understanding search queries through entities and relationships rather than just keywords. This has implications for e-commerce sites, which should optimize to be recognized as entities, build relationships between products and categories, and focus on answering queries through in-depth content rather than just keywords. They also need to optimize for voice and mobile search through measures like prioritizing local search results and ensuring their content is accessible across devices.
This document provides information about Google's Hummingbird update, which aims to better understand the contextual meaning and intent behind search queries. Some key points:
- Hummingbird was announced in September 2013 and affects how Google ranks pages for search results.
- It considers the full question or phrase rather than just keywords, especially for conversational or voice searches.
- To adapt, websites need to optimize content and keywords for common related search terms and questions about their business or industry.
- Proper use of keywords in anchors and surrounding text, as well as participation in knowledge panels can help websites remain relevant under Hummingbird.
Google Hummingbird and Semantic Search - An UpdateEric Enge
Google's Hummingbird landed in September of 2013. Yet it was a soft landing with few noticing its impact, even though Google told us it impacted 90% of queries.
In this presentation at MN Search in Minneapolis, I provide an update on what's going on, and how the impact is becoming very real in 2014.
This document summarizes the history and evolution of search engines from the early 1990s to present day. It discusses the first search engines like Archie, Veronica, and Jughead and how they indexed early internet content. It then explains why Google became dominant by providing more relevant and faster search results using PageRank and analyzing link structure. The document outlines Google's original and subsequent algorithms and ranking factors for organic and local search results. It also notes Google's use of over 200 signals and semantic analysis to continuously improve search relevancy.
Google has introduced a new search algorithm called Hummingbird that is designed to better understand the meaning and context behind search queries. Hummingbird still uses aspects of previous algorithms like Panda and Penguin, but represents an entirely new system. It aims to go beyond just finding pages that match search terms and instead comprehend concepts like locations, specific products, and the intent behind questions. The update could help Google return more relevant results by grasping the actual topic being searched for rather than solely matching keywords.
Google Hummingbird - What does it mean for SEO?Chris Schweppe
What is the Google Hummingbird algorithm's impact on SEO? Understanding the intent behind Hummingbird is key to predicting what it will mean to SEO today and tomorrow. In this POV presentation from Ogilvy subsidiary Global Strategies, Ken Shults outlines the implications of Google's focus shift from keywords to entities.
Semantics and Search by Upasna Gautam at PubCon Austin 2018Upasna Gautam
What is semantic search, how has Google developed its algorithm to become more semantic, and how can you develop your SEO strategy to better align with these updates.
The future is here and the future are Graph Databases! Have a lot of interconnected data dat you want to extract value and meaning from it? Having too many joins that are running too slow? Do you want to do Real-Time Recommendations? Read this!
Google search operators allow users to refine search queries for more specific results. There are over 30 different operators that can be used to search by keyword, phrase, domain, file type, and other parameters. Some key operators include quotation marks to force exact matches, plus/minus signs to include or exclude terms, and site: to limit results to a specific domain. Mastering these search operators allows users to gain control over search results and find information more efficiently on Google.
Google provides a powerful search engine that indexes web pages. It allows for various search techniques like phrase searches using quotes, Boolean logic using AND, OR and parentheses, negation using dashes, and including synonyms using tildes. Google ignores common words by default but they can be explicitly included using plus signs. The site, inurl and related syntaxes allow narrowing searches to specific sites, URLs or related pages. Number ranges and wildcards can be used. The Feeling Lucky button directly takes users to the top search result. Within-results searching allows refining an initial result set.
SEO (search engine optimization) involves optimizing websites and webpages to appear high in search engine results. It includes ensuring websites are indexed by search engine bots and that all content pages are visible. SEO brings together marketing and strategy - while original, optimized content is important, performance means little without good marketing and a solid strategy. Key factors search engines consider include page rank, backlinks, meta tags, and keyword optimization.
This document outlines various search secrets for using Google Search more effectively. Some key secrets include using special keywords and operators like "define:", "info:", exact phrase matching with double quotes, the OR operator, number ranges with "..", and the asterisk wildcard. It also provides tips for translating text, checking weather, filtering by file type or site, ignoring specific search results, finding related keywords, looking up flight information, and using Google for unit conversions and math calculations. The document aims to showcase how Google Search can be used for more than just general web searches.
This document provides an overview of advanced search techniques for Google:
- It discusses the differences between web searching and database searching, noting that web searches can return many more results but are mainly keyword searches of entire websites.
- It covers basic search tips for Google like using relevant keywords and important words rather than full sentences.
- Various Boolean operators that can be used in Google searches are explained, such as AND, OR, and NOT, as well as other search limiters like phrase searching, excluding terms, linking terms, and searching specific sites or filetypes.
- Links are provided for more information on Google's advanced search techniques.
Entireweb review over 150 million searches per month with website submission ...joelmaster
Entireweb is one of the broadly utilized web indexes for getting to
the query items according to the client's input and starting the site
accommodation processes all over the web crawlers. According to
the site, an entirety of more than 150 million ventures on various
inquiries gets dealt with effectively by mirroring the specific query
items.
Like the Google web index, one can get to observe the website
pages, pictures, and surprisingly the web-based media webpage
results focusing on the specific inquiry term. These three superfamous pursuit types make Entireweb a most loved web search tool
the whole way across the world. Concerning Social Media, one can
even get to find the most pertinent Tweets by means of Twitter,
significant pages through Facebook.
This document provides information about Google Search and search engines. It discusses how search engines work and lists some of the major search engines. It provides background on Google's founding and growth. The document outlines several search operators and tips for using them, such as using quotation marks, AND/OR, wildcards, and excluding terms. It also discusses searching specific file types, unit conversions directly in search, and searching offline without an internet connection.
Google has stated that Hummingbird applies to up to 90% of search queries, making its effects nearly universal. Are you feeding the Google Hummingbird? We have some optimization steps.
Bearish SEO: Defining the User Experience for Google’s Panda Search LandscapeMarianne Sweeny
The search sun shifted in March 2011 when Google started rolling out the beginning of the Panda update. Instead of using the famous PageRank, a link-based relevance calculation, Panda rests on a machine interpretation of user experience to decide which sites are most relevant to a searchers quest for knowledge. This means that IA and UX practitioners need to start thinking about the machine implications of the way they structure information on the web, and think ahead about the human implications for how search engines present their sites in response to searcher queries. Bearish SEO will present real, actionable methods for content providers, information architects and user experience designers to directly influence search engine discoverability. Need is an experience. It is a state of being. The goal for this presentation is to ensure that user experience professionals become an integral part of designing search experience.
Fundamentals of SEO - Introduction to Search Engines - How the Search Engine Works - Components of Search Engine - Google Algorithms - Google Results Page - Panda, Penguin, Humming Bird & Pigeon
Google's search engine works by crawling and indexing the web. It uses web crawlers to discover publicly available web pages by following links from page to page. The crawled pages are indexed, organized, and stored in Google's massive database. When a user searches, Google's algorithms analyze over 200 signals and factors to rank and filter results based on relevance. Key factors in ranking include PageRank, which analyzes the number and quality of links between pages. Google also works to identify and filter spam sites that try to manipulate search rankings.
School of Internet Marketing is the best training institute for digital marketing in Pune as they provide theory and practical knowledge to their students.
Google Desktop is desktop search software that indexes files on a computer and allows users to search emails, files, music, photos and more from a sidebar. It features file indexing, a sidebar with gadgets for email, notes, photos, news and weather, and quick searching across the computer from the sidebar or taskbar. Google Desktop runs on Mac OS X, Linux and Windows and continues to index files in the background as they change.
Google is a large-scale search engine that indexes the entire web. It makes use of the link structure between pages to determine importance and provide more relevant search results. The Google search engine consists of three main parts - the Googlebot crawler, the indexer that sorts words and builds a database, and the query processor that returns relevant results in under a second by comparing queries to the index.
The New Content SEO - Sydney SEO Conference 2023Amanda King
This document summarizes Amanda King's presentation on the new content SEO at the Sydney SEO Conference. It discusses how Google has moved beyond keywords and now understands content semantically through natural language processing and systems like BERT. It also explains how Google analyzes content through parsing, entity detection, and understanding relationships to score and rank pages. The presentation recommends doing a full content inventory to identify entities, related terms, and differences from top ranking pages to update content accordingly.
Google released an algorithm update called Hummingbird that is aimed at better understanding long search queries to improve search results. It uses semantic signals and user intent to better match pages to these long-tail search phrases, affecting 90% of queries. This positions Google to improve the mobile and voice search experience as queries move in a more conversational direction.
How Google is Reading and Indexing Content in 2016Greenlane
This is the presentation given by Bill Sebald at the Digital Marketing Suburbia Meetup #1 - https://www.meetup.com/Digital-Marketing-Suburbia/
This presentation focuses on Google's ability to read and understand website content and the intent of queries.
Google hummingbird-update-webinar-resourcefresherdev
The document provides an overview of Google's Hummingbird update, which introduced a new approach to search using "entities". Entities are generated from trusted sources to provide contextual answers and related information to user queries. This represents a significant change from previous search algorithms which relied more on keywords and statistical relevance. For SEOs, the challenges include less reliance on traditional on-page optimization techniques and greater emphasis on building authority, trust and producing high-quality, relevant content focused on topics rather than keywords. However, SEO is not dead - those who focus on content marketing across multiple platforms and build multiple traffic sources will be best positioned for long-term success under Hummingbird.
SEO Tutorial for Beginners - Learn Search Engine Optimization (SEO) and various SEO tools and techniques in simple and easy steps starting from basic to advanced topics. The topics include basic search mechanism and algorithm, search ranking factors, Google Search Console, keyword generation, keyword research analysis, Google keyword planner, Google Trends, keyword value assessment, keyword competition analysis, keyword difficulty analysis, domain authority, page authority, keyword selection, on-page SEO, Yoast SEO, title tags, heading, SEO snippets, permalinks, slugs, outbound links, inbound links, internal linking, external linking, anchor text, do-follow & no-follow links, image SEO & optimization, content optimization, off-page SEO, backlink analysis, quality links,link building, directory submission, article submission, blog submission, press release submission, PDF submission, video submission, infographic submission, image submission, guest blogging, forum & discussion in SEO, social bookmarking, local SEO, Google Map, Google My Business, Google Street View and various SEO tools like Moz, SEM Rush, Ahrefs etc.
Search engines crawl the web by following links between pages to index their content. They have two main functions: crawling and indexing billions of webpages to build a database, and providing search results by ranking pages in order of relevance to user queries. SEO techniques help pages rank higher through on-page optimization and link building. While search engines are sophisticated, they have limitations understanding certain types of content like forms, duplicate pages, and language variations, which is where SEO helps guide them.
The document discusses Google's Knowledge Graph, which was introduced in 2012. The Knowledge Graph enhances search results by incorporating information from sources like Wikipedia to provide structured information about search topics. It aims to understand search queries better and provide relevant information without users needing to click through to other sites. The Knowledge Graph displays information in a more visual way on the right side of search results and could impact ad placement. It facilitates finding related information and benefits users and advertisers by providing more specific results.
SEO Web 2.0 Era - Johns Hopkins UniversityWill Fleiss
SEO in the Web 2.0. A presentation given by guest lecturer Will Fleiss at Johns Hopkins University
Zanvyl Krieger School of Arts and Sciences
Advanced Academic Programs at the class "Public Relations in the Age of Digital Influence" taught by John H. Bell, Managing Director of the global 360 Digital Influence practice at Ogilvy Public Relations Worldwide.
Mike King examines the state of the SEO industry and talks through knowing information retrieval will help improve our understanding of Google. This talk debuted at MozCon
Google has enhanced its search engine capabilities beyond just web searching by developing multi-context search that utilizes a user's location and query context to provide more relevant localized results. This allows Google to display weather, currency conversion, local business information, or factual answers directly in special blocks above the traditional search results. By understanding mobile usage trends and prioritizing page mobile-friendliness, Google has advanced further ahead of competitors like Bing who have not yet implemented these kinds of sophisticated multi-context search features.
How google works and functions: A complete ApproachPrakhar Gethe
The document discusses the inner workings of Google's search engine. It begins with facts about Google and how search engines work in general. It then describes the key components of Google's architecture: Googlebot the web crawler, the indexer that processes pages into an index, and the query processor that matches searches to results. The document also covers search engine optimization techniques, how Google ranks pages, and the technologies needed to build a search engine.
Google is a web search engine owned by Google Inc. that is the most used search engine on the web. It was founded in 1996 by Larry Page and Sergey Brin as a research project at Stanford University. Google indexes web pages using its web crawler and ranks them based on PageRank, which determines importance based on the number and quality of links to a page. When a user searches Google, it examines its index and returns relevant results based on the user's search terms.
Google began in 1996 as a research project by Larry Page and Sergey Brin. It uses PageRank, an algorithm that assigns websites a numerical weight based on the number and quality of links to it, to index websites and determine search results. When a user searches on Google, it examines its index of websites and returns the most relevant results based on the user's search terms and PageRank. Google crawls hundreds of millions of webpages daily to constantly update its index to provide the most current search results.
Navigating the world of forex trading can be challenging, especially for beginners. To help you make an informed decision, we have comprehensively compared the best forex brokers in India for 2024. This article, reviewed by Top Forex Brokers Review, will cover featured award winners, the best forex brokers, featured offers, the best copy trading platforms, the best forex brokers for beginners, the best MetaTrader brokers, and recently updated reviews. We will focus on FP Markets, Black Bull, EightCap, IC Markets, and Octa.
Digital Marketing with a Focus on Sustainabilitysssourabhsharma
Digital Marketing best practices including influencer marketing, content creators, and omnichannel marketing for Sustainable Brands at the Sustainable Cosmetics Summit 2024 in New York
Starting a business is like embarking on an unpredictable adventure. It’s a journey filled with highs and lows, victories and defeats. But what if I told you that those setbacks and failures could be the very stepping stones that lead you to fortune? Let’s explore how resilience, adaptability, and strategic thinking can transform adversity into opportunity.
Taurus Zodiac Sign: Unveiling the Traits, Dates, and Horoscope Insights of th...my Pandit
Dive into the steadfast world of the Taurus Zodiac Sign. Discover the grounded, stable, and logical nature of Taurus individuals, and explore their key personality traits, important dates, and horoscope insights. Learn how the determination and patience of the Taurus sign make them the rock-steady achievers and anchors of the zodiac.
Storytelling is an incredibly valuable tool to share data and information. To get the most impact from stories there are a number of key ingredients. These are based on science and human nature. Using these elements in a story you can deliver information impactfully, ensure action and drive change.
Top mailing list providers in the USA.pptxJeremyPeirce1
Discover the top mailing list providers in the USA, offering targeted lists, segmentation, and analytics to optimize your marketing campaigns and drive engagement.
The Most Inspiring Entrepreneurs to Follow in 2024.pdfthesiliconleaders
In a world where the potential of youth innovation remains vastly untouched, there emerges a guiding light in the form of Norm Goldstein, the Founder and CEO of EduNetwork Partners. His dedication to this cause has earned him recognition as a Congressional Leadership Award recipient.
𝐔𝐧𝐯𝐞𝐢𝐥 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐄𝐧𝐞𝐫𝐠𝐲 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐰𝐢𝐭𝐡 𝐍𝐄𝐖𝐍𝐓𝐈𝐃𝐄’𝐬 𝐋𝐚𝐭𝐞𝐬𝐭 𝐎𝐟𝐟𝐞𝐫𝐢𝐧𝐠𝐬
Explore the details in our newly released product manual, which showcases NEWNTIDE's advanced heat pump technologies. Delve into our energy-efficient and eco-friendly solutions tailored for diverse global markets.
How are Lilac French Bulldogs Beauty Charming the World and Capturing Hearts....Lacey Max
“After being the most listed dog breed in the United States for 31
years in a row, the Labrador Retriever has dropped to second place
in the American Kennel Club's annual survey of the country's most
popular canines. The French Bulldog is the new top dog in the
United States as of 2022. The stylish puppy has ascended the
rankings in rapid time despite having health concerns and limited
color choices.”
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[To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
This presentation is a curated compilation of PowerPoint diagrams and templates designed to illustrate 20 different digital transformation frameworks and models. These frameworks are based on recent industry trends and best practices, ensuring that the content remains relevant and up-to-date.
Key highlights include Microsoft's Digital Transformation Framework, which focuses on driving innovation and efficiency, and McKinsey's Ten Guiding Principles, which provide strategic insights for successful digital transformation. Additionally, Forrester's framework emphasizes enhancing customer experiences and modernizing IT infrastructure, while IDC's MaturityScape helps assess and develop organizational digital maturity. MIT's framework explores cutting-edge strategies for achieving digital success.
These materials are perfect for enhancing your business or classroom presentations, offering visual aids to supplement your insights. Please note that while comprehensive, these slides are intended as supplementary resources and may not be complete for standalone instructional purposes.
Frameworks/Models included:
Microsoft’s Digital Transformation Framework
McKinsey’s Ten Guiding Principles of Digital Transformation
Forrester’s Digital Transformation Framework
IDC’s Digital Transformation MaturityScape
MIT’s Digital Transformation Framework
Gartner’s Digital Transformation Framework
Accenture’s Digital Strategy & Enterprise Frameworks
Deloitte’s Digital Industrial Transformation Framework
Capgemini’s Digital Transformation Framework
PwC’s Digital Transformation Framework
Cisco’s Digital Transformation Framework
Cognizant’s Digital Transformation Framework
DXC Technology’s Digital Transformation Framework
The BCG Strategy Palette
McKinsey’s Digital Transformation Framework
Digital Transformation Compass
Four Levels of Digital Maturity
Design Thinking Framework
Business Model Canvas
Customer Journey Map
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How to Start Up a Company: A Step-by-Step Guide Starting a company is an exciting adventure that combines creativity, strategy, and hard work. It can seem overwhelming at first, but with the right guidance, anyone can transform a great idea into a successful business. Let's dive into how to start up a company, from the initial spark of an idea to securing funding and launching your startup.
Introduction
Have you ever dreamed of turning your innovative idea into a thriving business? Starting a company involves numerous steps and decisions, but don't worry—we're here to help. Whether you're exploring how to start a startup company or wondering how to start up a small business, this guide will walk you through the process, step by step.
Anny Serafina Love - Letter of Recommendation by Kellen Harkins, MS.AnnySerafinaLove
This letter, written by Kellen Harkins, Course Director at Full Sail University, commends Anny Love's exemplary performance in the Video Sharing Platforms class. It highlights her dedication, willingness to challenge herself, and exceptional skills in production, editing, and marketing across various video platforms like YouTube, TikTok, and Instagram.
2. INTRODUCTION
Google Hummingbird, named for the “fast and precise” results
it is intended to deliver, was announced at the company’s
15th anniversary conference on September 26, 2013.
Hummingbird’s strength is the ability to quickly analyze longer,
more complex questions and provide the best answer to the
searcher with the fewest possible clicks.
"Hummingbird" algorithm is a more human way to interact with
users and provide a more direct answer unlike its previous
versions Panda and Penguin.
3. DIFFERENCE BETWEEN OLD AND NEW SEARCH TECHNIQUES :
Previous Search Techniques Google Hummingbird Search
1) Keyword based search 1) Question-based, conversational, semantic
search(takes into account why,
when,who…)
2)The same search yields same result
for different users.
2) The same search may yield different results
to each user, based on current circumstances
3)Search technique does not use user
information for searching
3)It uses user information like previous
downloads, geographical location, social
shares etc.
4)It cannot handle complex search
strings.
4) It can handle long complex search strings.
It uses Google’s knowledge graph.
5) Provides users many possible options
to continue with search
5)It starts with answering the question. This is
called “conversational search”.
4. KNOWLEDGE GRAPH:
The Knowledge Graph is a knowledge base used by Google to
enhance its search engine's search results with semantic-
search information gathered from a wide variety of sources
5. PAGE RANK ALGORITHM
A webpage’s ranking is determined by analyzing the ranking of all
the other webpages that link to the webpage in question.It is
calculated as,
‘n’ = the number of pages in the web.
C(Tn) = the PageRank of each page by the number of outgoing links on that
page
d= damping factor decrease the influence of all of the pages in relation
to the page in question
Example :
PageRank(p1) = (1- 0.5) + 0.5{ PR(p3)/3 +
PR(p4)/2 + ….}
7. HUMMINGBIRD UPDATE
It has updated the Page Rank Algorithm. It uses intelligent ranking
of webpages.
It takes into account question based queries like “why”, “who”,
“when", "what” etc.
The motivation for the ‘Hummingbird’ update, was the advent
voice-recognition searching.
8. o Indexing faster and put a higher premium on pages that are
more recent.
o Relationally links search queries and Web documents
o Pays more attention to each word in a query, ensuring that the
whole query - the whole sentence or conversation or meaning
- is taken into account, rather than particular words.
9. FEATURES OF HUMMINGBIRD
ALGORITHM
Hummingbird expands the use of the Knowledge Graph , so that
Google answers more complex search queries and also improves
the follow-up search process. For example, if we first search
“picture of Washington Monument” and then do a second search for
“how tall is it?” Google will understand the context of your second
query.
how tall is
it
10. Comparisons
The knowledge graph enables more
comparisons between search objects (ex: “compare
butter vs olive oil”, “compare Earth vs Jupiter” etc.).
Geo-location enhancement
If someone asks “What’s the best place to buy an
iPhone 5s?” then Google will likely bring a result near to his
current location.
Improved mobile search design and
functionality
Voice search and Android/iPhone synchronization are
improved and will likely continue to improve quickly.
11. A SIMPLE WORKING MODEL OF GOOGLE
HUMMING BIRD ALGORITHM
Complicated
queryUser
Google
search
engine
Pages sorted
according to
page rank
inputs Page
request
Response
Sort into pages
according to the
query – taking into
consideration “
why”,”who”…
Most appropriate html
pages
12. IMPORTANT THINGS TO OPTIMIZE WEBSITE FOR
NEW ALGORITHM
For getting high Google rank of our website/blog:
A Professional Website With Good Content
Good Backlinks from Related Sites
Content of your website should original and must related to the
topic/website
Limitations:
The knowledge graph still does not incorporate many languages.
The Algorithm result is not applicable to all countries.