Cookies help us display personalized product recommendations and ensure you have great shopping experience.

We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: SIGIR ‘09 Accepted Papers
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > SIGIR ‘09 Accepted Papers
Uncategorized

SIGIR ‘09 Accepted Papers

Daniel Tunkelang
Daniel Tunkelang
4 Min Read
SHARE

Thanks to Jeff Dalton for alerting me to SIGIR 2009 announcing the lists of accepted papers and posters. As Jon Elsas points out, the authorship looks quite different this year than from previous years, with industry showing an especially strong presence:

  • 38% of the papers have at least one author from Microsoft (21 papers), Yahoo! (7 papers), or Google (3 papers)
  • No papers from current UMass researchers (though a number from alumni, and decent representation in the posters)–and the only CMU papers accepted were based on work done during internships.

I’m not sure how to interpret this sudden change. Tighter university budgets? More openness on the part of industry? Regardless, I am excited about the papers. Here are a few (well, ten) paper titles that caught my eye:

  • A Comparison of Query and Term Suggestion Features for Interactive Searching
  • A Statistical Comparison of Tag and Query Logs
  • Building Enriched Document Representations using Aggregated Anchor Text
  • Dynamicity vs. Effectiveness: Studying Online Clustering for Scatter/Gather
  • Effective Query Expansion for Federated Search
  • Enhancing Cluster Labeling Using Wikipedia
  • Formulating Effective Queries: An Empirical S…

More Read

What use is BI without fit-for-purpose data?
Health on Social Media
Early Indications April 2009: Reexamining Offshoring
Accurate Sales Forecasting: 4 Secrets
Back to the Future: Amazon lets Data Providers Charge for Access

Thanks to Jeff Dalton for alerting me to SIGIR 2009 announcing the lists of accepted papers and posters. As Jon Elsas points out, the authorship looks quite different this year than from previous years, with industry showing an especially strong presence:

  • 38% of the papers have at least one author from Microsoft (21 papers), Yahoo! (7 papers), or Google (3 papers)
  • No papers from current UMass researchers (though a number from alumni, and decent representation in the posters)–and the only CMU papers accepted were based on work done during internships.

I’m not sure how to interpret this sudden change. Tighter university budgets? More openness on the part of industry? Regardless, I am excited about the papers. Here are a few (well, ten) paper titles that caught my eye:

  • A Comparison of Query and Term Suggestion Features for Interactive Searching
  • A Statistical Comparison of Tag and Query Logs
  • Building Enriched Document Representations using Aggregated Anchor Text
  • Dynamicity vs. Effectiveness: Studying Online Clustering for Scatter/Gather
  • Effective Query Expansion for Federated Search
  • Enhancing Cluster Labeling Using Wikipedia
  • Formulating Effective Queries: An Empirical Study on Effectiveness and Effort
  • Telling Experts from Spammers: Expertise Ranking in Folksonomies
  • When More Is Less: The Paradox of Choice in Search Engine Use
  • Where to Stop Reading a Ranked List? Threshold Optimization using Truncated Score Distributions

The posters look great too! I’m especially curious about these ten:

  • A Case for Improved Evaluation of Query Difficulty Prediction
  • A Relevance Model Based Filter for removing Bad Ads
  • An Evaluation of Entity and Frequency Based Query Completion Methods
  • Analysing query diversity
  • Cluster-based query expansion
  • Evaluating Web Search Using Task Completion Time
  • Has Adhoc Retrieval Improved Since 1994?
  • Is This Urgent? Exploring Time-Sensitive Information Needs in Community Question Answering
  • Relevance Criteria for E-Commerce: A Crowdsourcing-based Experimental Analysis
  • When is Query Performance Prediction Effective?

And, of course, I’m gearing up for the Industry Track. More details will be posted soon–of course, you’ll be the first to know.

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Best Age Estimation Software in 2026: Which Facial Age Providers Actually Hold Up -- AI-generated illustration
Best Age Estimation Software in 2026: Which Facial Age Providers Actually Hold Up
Artificial Intelligence Exclusive Machine Learning
Top 8 Multi-Cloud Architecture Tools for Automated Infrastructure Design in 2026 -- AI-generated illustration
Top 8 Multi-Cloud Architecture Tools for Automated Infrastructure Design in 2026
Cloud Computing Exclusive IT
6 Top Agentic SDLC Platforms for Enterprise Engineering Organizations -- AI-generated illustration
6 Top Agentic SDLC Platforms for Enterprise Engineering Organizations
Artificial Intelligence Exclusive
6 Best Runtime Intelligence Tools for Debugging AI-Generated Code in 2026 -- AI-generated illustration
6 Best Runtime Intelligence Tools for Debugging AI-Generated Code in 2026
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Data Mining Book Review: Applied Predictive Analytics

2 Min Read

The Social Employee Manifesto

5 Min Read
Image
Uncategorized

Differences Between Large and Small Companies Using BYOD

5 Min Read

‘Business-IT alignment’ is dead… whatever it was

1 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?