An overview of search advertising I presented in an invited lecture at the New York University Business School in Dec of 2009. I also cover output bidding, a novel search advertising model complementary to the currently dominant form of search adverising, keyword advertising.
Higiene y seguridad industrial
En el siguiente trabajo explicare un poco de las causas que nos pueden ocasionar un mal funcionamiento de elementos en nuestro lugar de trabajo, y por no utilizar los elementos necesarios.
El accidente de trabajo es un acontecimiento inesperado que le genera lesiones, perturbaciones, invalidez o muerte al trabajador en cumplimiento de sus funciones, al igual que los efectos que sufra el trabajador al trasladarse en el medio de trasporte de la empresa y cuando desarrolle actividades recreativas o deportivas organizadas por el empleador.
EJEMPLO DE UN ACCIDENTE LABORAL: Un trabajador del sector de la construcción, (colectivo en el cual existe un gran índice de accidentes laborales) sufre un aplastamiento de los dedos del pie derecho, como tratamiento se procede a la inmovilización con bota corta de yeso ambulatorio por 6 semanas como término medio. Posteriormente llevará a cabo terapias de rehabilitación
Počkej, Martinus není reklamka? Ne, ještě pořád ne! Ale stejně jako v reklamce i my víme, že lidé od nepaměti milují příběhy a emoce. A ono to s knížkami jde dělát lépe než s pracím práškem. Takže levou zadní? You wish... :-)
Micosis causada por diversas especies de levaduras oportunistas del genero Candida, en especial Candida albicans; presenta una variedad de cuadros clínicos; afecta en particular mucosas (boca, vagina, etc.), piel, uñas y de manera excepcional otros órganos como pulmones e intestino.
Presentation delivered by Dan Toomey at the 2017 Global Integration Bootcamp in Brisbane. Many slides are courtesy of the Pro Integration product team at Microsoft.
Computational Marketing at Groupon - JCSSE 2017Clovis Chapman
14th International Joint Conference on Computer Science and Software Engineering Keynote: With over 50 million active customers, Groupon is one of the largest e-commerce sites in the world. Now offering over 500,000 deals daily, it has grown into a large marketplace aiming to connect customers to local deals through a variety of marketing channels. In order to achieve this, Groupon has had to develop sophisticated web based marketing processes.This talk will discuss the concept of Computational Marketing. Computational marketing is an emerging scientific discipline. It's central challenge is to find the best match between a given user in a given context and a suitable advertisement in order to provide advertisements that are contextually relevant and likely to lead to a purchase. With hundreds of thousands of events being generated per second, in the form of clicks, purchases, page impressions, etc. on all Groupon properties worldwide, being able to process these in real time in order to develop some instantaneous insights can provide a significant leg up over the competition.
Advanced Strategies to get your Google Shopping Campaigns to the Next Level -...agentura KOFEIN s.r.o.
Prezentace o strategiích pro reklamní kampaně Google Nákupy v AdWords.
Prezentující: Andreas Reiffen (CEO @ crealytics)
Prezentace z PPC OFFLINE #9
30. 1. 2018, Praha - PVA Letňany
Video záznam přednášky zde: Připravujeme
Více o PPC OFFLINE na http://www.ppcoffline.cz
Porádáno agenturou KOFEIN: http://www.kofein.cz
Chinese search engines, including Baidu, Google, Soso, Sogou, Bing, and Yahoo, present many SEO and PPC opportunities for international companies... yet many know very little about the Chinese search marketing landscape. This presentation provides an overview of search in China and gives a comparison between Google and Baidu in terms of PPC.
Higiene y seguridad industrial
En el siguiente trabajo explicare un poco de las causas que nos pueden ocasionar un mal funcionamiento de elementos en nuestro lugar de trabajo, y por no utilizar los elementos necesarios.
El accidente de trabajo es un acontecimiento inesperado que le genera lesiones, perturbaciones, invalidez o muerte al trabajador en cumplimiento de sus funciones, al igual que los efectos que sufra el trabajador al trasladarse en el medio de trasporte de la empresa y cuando desarrolle actividades recreativas o deportivas organizadas por el empleador.
EJEMPLO DE UN ACCIDENTE LABORAL: Un trabajador del sector de la construcción, (colectivo en el cual existe un gran índice de accidentes laborales) sufre un aplastamiento de los dedos del pie derecho, como tratamiento se procede a la inmovilización con bota corta de yeso ambulatorio por 6 semanas como término medio. Posteriormente llevará a cabo terapias de rehabilitación
Počkej, Martinus není reklamka? Ne, ještě pořád ne! Ale stejně jako v reklamce i my víme, že lidé od nepaměti milují příběhy a emoce. A ono to s knížkami jde dělát lépe než s pracím práškem. Takže levou zadní? You wish... :-)
Micosis causada por diversas especies de levaduras oportunistas del genero Candida, en especial Candida albicans; presenta una variedad de cuadros clínicos; afecta en particular mucosas (boca, vagina, etc.), piel, uñas y de manera excepcional otros órganos como pulmones e intestino.
Presentation delivered by Dan Toomey at the 2017 Global Integration Bootcamp in Brisbane. Many slides are courtesy of the Pro Integration product team at Microsoft.
Computational Marketing at Groupon - JCSSE 2017Clovis Chapman
14th International Joint Conference on Computer Science and Software Engineering Keynote: With over 50 million active customers, Groupon is one of the largest e-commerce sites in the world. Now offering over 500,000 deals daily, it has grown into a large marketplace aiming to connect customers to local deals through a variety of marketing channels. In order to achieve this, Groupon has had to develop sophisticated web based marketing processes.This talk will discuss the concept of Computational Marketing. Computational marketing is an emerging scientific discipline. It's central challenge is to find the best match between a given user in a given context and a suitable advertisement in order to provide advertisements that are contextually relevant and likely to lead to a purchase. With hundreds of thousands of events being generated per second, in the form of clicks, purchases, page impressions, etc. on all Groupon properties worldwide, being able to process these in real time in order to develop some instantaneous insights can provide a significant leg up over the competition.
Advanced Strategies to get your Google Shopping Campaigns to the Next Level -...agentura KOFEIN s.r.o.
Prezentace o strategiích pro reklamní kampaně Google Nákupy v AdWords.
Prezentující: Andreas Reiffen (CEO @ crealytics)
Prezentace z PPC OFFLINE #9
30. 1. 2018, Praha - PVA Letňany
Video záznam přednášky zde: Připravujeme
Více o PPC OFFLINE na http://www.ppcoffline.cz
Porádáno agenturou KOFEIN: http://www.kofein.cz
Chinese search engines, including Baidu, Google, Soso, Sogou, Bing, and Yahoo, present many SEO and PPC opportunities for international companies... yet many know very little about the Chinese search marketing landscape. This presentation provides an overview of search in China and gives a comparison between Google and Baidu in terms of PPC.
Introduction To Paid Search Dave Chaffey For SesDave Chaffey
I was asked by the Search Engine Strategies programming team to deliver this 1 hour intro to paid search for the many attendees who are new to search engine marketing. As well as covering the key areas important to success it also introduces some of the latest developments in paid search
Online advertising and ad auctions at googleHamzeh Banat
At the beginning: Traditional Ads
Posters, Magazines, Newspapers, Billboards.
What is being Sold:
Pay-per-Impression: Price depends on how many people your ad is shown to (whether or not they look at it)
Pricing:
Complicated Negotiations (with high monthly premiums...)
Form a barrier to entry for small advertisers
Vorian Agency PPC Google Adwords Seminar 2015Vorian Agency
In this seminar we’ll work through the ins and outs of Google Adwords, to explain how Pay Per Click (PPC) advertising can work for your business.
Things you can learn include:
What is PPC?
Introduction to Campaigns and Ad Groups
Creating an Advert
Editorial Guidelines
Keywords; Broad, Phrase & Exact Match
Bidding and Traffic Estimation
Account Configuration
Competitor Analysis
Negative Keywords
Ad Extensions
Integrating with Google Analytics
Conversion Tracking
Remarketing
This presentation provides an overview of search in China and gives a comparison between Chinese search engines, including Baidu, Google, Soso, Sogou, Bing
Intro to Search Engine Marketing (SEM), pay-per-click advertising and Google Adwords for Troy Henikoff's "Entrepreneurial Tools For Digital Marketing" course at Northwestern's Kellogg School of Management. Elan Mosbacher. VP of Marketing @ SpotHero. January 2016.
How to build and run a big data platform in the 21st centuryAli Dasdan
This tutorial was presented in the IEEE Big Data Conference in 2019. It shows that building and running a big data platform for both real-time streaming and batch data processing for all kinds of applications involving analytics, data science, reporting, and the like in today’s world can be as easy as following a checklist. We live in a fortunate time that many of the components needed are already available in the open source or as a service from commercial vendors. This tutorial shows how to put these components together in multiple sophistication levels to cover the spectrum from a basic reporting need to a full fledged operation across geographically distributed regions with business continuity measures in place. This tutorial provides enough information and checklists to the audience that it can also serve as a goto reference in the actual process of building and running.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Designing Great Products: The Power of Design and Leadership by Chief Designe...
An Overview of Search Advertising
1. Search Advertising
Overview
Ali Dasdan, Yahoo!
Disclaimers:
This talk presents the opinions of the author.
Some of the proposals have been submitted as patent applications.
10. Online advertising
Goal:
find the “best match” between an ad
and a context to maximize “value” for
all stakeholders
Context:
browse, search, connect, etc.
Stakeholders
users, advertisers, publishers,
auctioneers
10
35. A brief history of keyword
advertising
Early 1990s: Open Text & AltaVista try it but fail.
Feb 1998: GoTo introduces it for paid search.
the idea is from yellowpages
May 1999: GoTo files for a patent application.
Oct 2000: Google introduces AdWords.
after two unsuccessful internal attempts
Jul 2001: GoTo gets patent #6,269,361.
Oct 2001: GoTo renames to Overture.
Apr 2002: Overture sues Google.
May 2002: Google hires Hal Varian as its chief economist.
Mar 2003: Google acquires Applied Semantics & introduces
its AdSense contextual advertising service.
Jul 2003: Yahoo! acquires Overture.
Aug 2004: Yahoo! & Google settle the case out of court.
35
38. Cost & performance
measures
Cost measures
CPM: Cost per 1000x impressions
the original model
CPC: Cost per click, pay per click
Yahoo! has been using since 1996.
CPA: Cost per action
action: acquisition, order, engagement
DoubleClick has been using since 1997.
Performance measures
Click thru rate (ctr): P(click|impression)
Conversion rate: P(action|click)
38
39. Ranking ads & pricing clicks
Ranking in decreasing r = w * b
by bid: r = b = bid
by expected revenue: r = ctr * b
by performance: r = f(…) * bs
Pricing
generalized second price (gsp):
min price (+ε) to keep the current position
e.g., the ith pays (wi+1*bi+1)/wi+0.01
last position holder to pay a reserve price
39
42. Summary of output bidding
42
y = f ( x )
Search results
(output)
Search engine Search query
(input)
Keyword (input) bidding is on x.
Output bidding is on y.
Note:
• y >> x in size & context
• y is where innovation happens
43. Review of input & output
Search engine as a mapping:
Output = SE( Input ) y = f( x )
Input: What users give to SEs
a few keywords as a query
very limited (given) context
Output: What SEs produce
lots of data and metadata
far richer context & getting richer
where innovation happens
43
44. Intent bidding &
ad association
What do advertisers bid on?
users’ (purchasing) intent
signal for intent: keywords
How do advertisers bid?
associate their ads with keywords
44
45. Output bidding proposal
Claims
use output as a far richer signal for
intent
associate ads with output too
Proposal
direct use: Bidding on output explicitly
indirect use: Use of output as part of
input bidding
45
46. Output bidding variations
Paid (self) association (PA): Ads with organic results
from the same site
More expressive input bidding:
Output as conditions: Conditions on output parameters
Output as expansion: “Keywords” from output for
keyword bidding
Direct output bidding:
Bid for organic search result, show ad closeby
46
Sponsored: Discount on air conditioners
47. Issues to resolve
Mindset – probably the most difficult issue
User interface: New ads as an extension of sponsored results
space or next to target organic result? News ads shown with
mouse over or always on?
Auction modeling: What if an advertiser bids for both input
and output, or multiple outputs? How not to undermine input
bidding revenue with output bidding? What is the role of
organic content publisher in auctions regarding its content?
Search advertising: Should ‘Ace Hardware’ be just a “organic
related site” instead of a “sponsored related site” to ‘Home
Depot’? Should search engines charge for commercial-looking
organic results (local business, shopping, etc.)?
Implementation: How to hide the latency of output
dependence?
47
48. Benefits & limitations
Benefits
taking better advantage of content &
search engine investments
better ad targeting and relevance with
richer context
potentially establishing publishers as a
first-class partner to search auctions
Limitations
search engines manipulating their organic
content based on output bids?
Not likely due to potential loss of relevance
48
49. Related work
Output bidding
Dasdan (2007) – conceived in early 2006; Dasdan & Gonen
(2008);
Bids on search results
Dasdan (2007); Manavoglu, Popescul, Dom, & Brunk (2008).
Interplay between organic and sponsored results
Ghose & Yang (2009); Katona & Sarvary (2009); Xu, Chen, &
Whinston (2009).
Bids on more parameters of input bidding
Aggarwal, Feldman, & Muthukrishnan (2006); Muthukrishnan
(2009); Benisch, Sadeh, & Sandholm (2008).
Use of top search results for enhancing keyword context
and ad matching
Broder, Ciccolo, Fontoura, Gabrilovich, Josifovski, & Riedel
(2008).
49
52. 52
For the query “zappos”, what is the need for the two results
(one organic and one ad) for zappos.com? Should the ‘similar
to this’ sites stay organic?
53. 53
Rich ad
Organic result
For the query “charles schwab”, what is the need for the two
results (one organic and one ad) for schwab.com?
54. 54
What are the potential uses of the box on the right, which allows
a peek into the destination page?
55. Short list
Theory and practice of output bidding
Fusing organic & sponsored processing
pipelines
Bringing publishers to search auction
Interactions between organic and
sponsored results
New opportunities for ads in search results
pages
Ads for shopping lists (e.g., ebay results)
Life with a few, very powerful players
55
56. Conclusions
Web search and advertising at the
intersection of many scientific
disciplines
Lots of challenges but huge rewards
uncertainty, scale
Too early to call the field advanced
beyond reach
so help invent its future
56
63. Experimental Results 1/2
Hypothesis #1: An ad has higher
CTR if it is correlated to an organic
result.
Correlation: Being from the same site
Dataset: Queries from 3 days of Yahoo!
Web Search logs
Result: 3x & 10x CTR increases for non-
navigational and navigational queries
63
64. Experimental Results 2/2
Hypothesis #2: Organic results do
contain terms to match for (input
bidding) ads.
Dataset: 100 queries producing no or
few ads
Result: 5x increase in total number of
ads, some queries with lots of ads
See the next figure
64