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 2009: Day 2, Morning Sessions (Anchor Text, Vertical Search)
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 2009: Day 2, Morning Sessions (Anchor Text, Vertical Search)
Uncategorized

SIGIR 2009: Day 2, Morning Sessions (Anchor Text, Vertical Search)

Daniel Tunkelang
Daniel Tunkelang
7 Min Read
SIGIR 2009: Day 2, Morning Sessions (Anchor Text, Vertical Search)
Illustration generated with qwen-image-Q4_K_M (local ComfyUI) + quality 20-step CFG 4.
SHARE

Sorry for the delay in postings. Not only was I super-busy the past week, but I had some connectivity challenges (both at SIGIR and at the apartment where I was staying) and mostly restricted my online activity to occasional tweets during talks. I meant to catch up on my blogging yesterday, but instead spent the day wine tasting in Long Island. But enough apologizing, I’m refreshed and ready to blog up a storm!

The second day of SIGIR (Tuesday) started straight off with research talks. I went to the web retrieval session, which consisted of two talks about anchor text and one about privacy-preserving link analysis.

“Building Enriched Document Representations using Aggregated Anchor Text“, by Don Metzler and colleagues at Yahoo Labs. They address the challenge of anchor text sparsity (the distribution of in-links for web pages follows a power law) by enriching document representation through aggregation of anchor text along the web graph. Their technique is intuitive, and the authors demonstrate statistically significant improvements in retrieval effectiveness. Unfortunately, their results are not repeatable, since used a proprietary test collection to obtain them.

The second talk of the session, “Using Anchor Texts with Their Hyperlink Structure for Web Search,” was by a group of authors from Microsoft Research Asia. They address the opposite problem of the previous paper: how to handle too much, rather than too little, anchor text. Specifically, they model dependence among multiple anchor texts associated with the same target document. Like the Yahoo folks, they demonstrate statistically significant results on a proprietary test collection.

More Read

10 R Packages Every Data Scientist Should Know About
10 R Packages Every Data Scientist Should Know About
3 Ways to Get Your Data Into Shape [INFOGRAPHIC]
How to Customize Salesforce Dashboards
4 Types of Data That Will Boost Your Marketing ROI
From “Can You Hear Me Now?” to #KimsDataStash

The third talk, “Link Analysis for Private Weighted Graphs” (ACM DL subscribers only) by Jun Sakuma (University of Tsukuba) and Shigenobu Kobayashi (Tokyo Institute of Technology), was a bit of an outlier, if one can call a paper in a three-paper session an outlier. The authors offer privacy-preserving expansions of PageRank and HITS, the best-known link analysis methods associated with relevance and authority in web search. I’ve noticed an increasing number of papers like these that mix cryptography with information retrieval or database concerns. One of my frustrations in reading such papers is that I always suspect that people are re-inventing wheels because so few people are able to keep up with research in multiple disciplines.

Then I had the coffee break to solve my own research problem: how to fill the 11:30 slot in the Wednesday Industry Track, since a speaker called in sick that morning. When I walked by the Bing table, I saw Jan Pedersen (Chief Scientist for Core Search at Microsoft), and I begged him to help me out. I must have been a persuasive supplicant, because he procured me Nick Craswell, an applied researcher who works on Bing. Out of gratitude for this 11th-hour favor, I wore a Bing t-shirt all day yesterday as I went wine-tasting. Bing drinking, not binge drinking!

Anyway, that urgent problem resolved, I went back to enjoying the conference. For the second morning session, I went to the vertical search session.

As it turns out, that session kicked off the with SIGIR Best Paper winner: “Sources of Evidence for Vertical Selection” by Jaime Arguello (CMU), Fernando Diaz (Yahoo), Jamie Callan (CMU), and Jean-François Crespo (Yahoo). The authors do a lot of things I like: they apply query clarity as a performance predictor, and they bootstrap on an external collection (specifically Wikipedia). The test collection they use for evaluation is proprietary, but that seems to be the price (at least today) of doing this kind of work.

The second talk of the session was bit a subset of the previous paper’s authors: “Adaptation of Offline Vertical Selection Predictions in the Presence of User Feedback” by Fernando Diaz and Jaime Arguello. The authors creatively used simulation to evaluate their approach. They did a nice job, but I have to admit I’m skeptical of results about feedback that aren’t based on user studies.

Unfortunately, I missed the third talk of the session because I had to play organizer. But I must have earned some good karma, because I got to enjoy a delightful lunch with Marti Hearst and David Grossman.

Stay tuned for more posts about the interactive search session, the keynote by Albert-László Barabási, the banquet at the JFK Presidential Library and Museum, and of course the Industry Track.

TAGGED:sigir
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Illustration of mobile analytics dashboards with ad performance charts connected to backend databases
11 Best Sisense Alternatives for Embedded Analytics
Business Intelligence Exclusive
Analyst points at colorful circular data dashboard on screen - information technology business metrics
How Fragmented Workplace Tech Undermines Reliable Business Metrics and Reporting
Cloud Computing Exclusive Infographic IT
Using Multi-Source Data and Analytics to Detect Operational Drift Across Franchise Networks -- AI-generated illustration
Using Multi-Source Data and Analytics to Detect Operational Drift Across Franchise Networks
Exclusive Infographic
Beyond The First Impression: The Long-Lasting Impact Of Sensory Marketing -- AI-generated illustration
Beyond The First Impression: The Long-Lasting Impact Of Sensory Marketing
Infographic Marketing

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

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

Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

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?