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

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 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

Counting with iterators
The #1 job of every CIO
Early Indications April 2009: Reexamining Offshoring
No Money, No Problem!
Decision Trees

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

cloud dataops for metering
Taming the IoT Firehose: How Utilities Are Scaling Cloud DataOps for Smart Metering
Cloud Computing Exclusive Internet of Things IT
ai in video game development
Machine Learning Is Changing iGaming Software Development
Exclusive Machine Learning News
media monitoring
Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
Analytics Exclusive Infographic
data=driven approach
Turning Dead Zones Into Data-Driven Opportunities In Retail Spaces
Big Data Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Email and…

3 Min Read

On A Smarter Planet … Some Organizations Will Be Smarter-er Than Others

4 Min Read

People, Process & Politics: Data Governance

7 Min Read

Will Larry Turn Oracle-Sun Into the New AS/400?

3 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
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?