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» Maximum Margin Ranking Algorithms for Information Retrieval
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CIKM
2007
Springer
14 years 1 months ago
Predictive user click models based on click-through history
Web search engines consistently collect information about users interaction with the system: they record the query they issued, the URL of presented and selected documents along w...
Benjamin Piwowarski, Hugo Zaragoza
SIGIR
2008
ACM
13 years 7 months ago
Efficient top-k querying over social-tagging networks
Online communities have become popular for publishing and searching content, as well as for finding and connecting to other users. User-generated content includes, for example, pe...
Ralf Schenkel, Tom Crecelius, Mouna Kacimi, Sebast...
WWW
2010
ACM
14 years 2 months ago
Actively predicting diverse search intent from user browsing behaviors
This paper is concerned with actively predicting search intent from user browsing behavior data. In recent years, great attention has been paid to predicting user search intent. H...
Zhicong Cheng, Bin Gao, Tie-Yan Liu
CIKM
2007
Springer
14 years 1 months ago
"More like these": growing entity classes from seeds
We present a corpus-based approach to the class expansion task. For a given set of seed entities we use co-occurrence statistics taken from a text collection to define a membersh...
Luís Sarmento, Valentin Jijkoun, Maarten de...
CIKM
2008
Springer
13 years 9 months ago
Modeling document features for expert finding
We argue that expert finding is sensitive to multiple document features in an organization, and therefore, can benefit from the incorporation of these document features. We propos...
Jianhan Zhu, Dawei Song, Stefan M. Rüger, Xia...