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» Term Ranking for Clustering Web Search Results
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IR
2010
14 years 8 months ago
Adapting boosting for information retrieval measures
Abstract We present a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, which has been shown to be empiricall...
Qiang Wu, Christopher J. C. Burges, Krysta Marie S...
ESWS
2008
Springer
14 years 11 months ago
Q2Semantic: A Lightweight Keyword Interface to Semantic Search
The increasing amount of data on the Semantic Web offers opportunities for semantic search. However, formal query hinders the casual users in expressing their information need as t...
Haofen Wang, Kang Zhang, Qiaoling Liu, Thanh Tran,...
CIKM
2007
Springer
15 years 4 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
TREC
2008
14 years 11 months ago
Combining Candidate and Document Models for Expert Search
: We describe our participation in the TREC 2008 Enterprise track and detail our language modeling-based approaches. For document search, our focus was on query expansion using pro...
Krisztian Balog, Maarten de Rijke
SIGIR
2008
ACM
14 years 10 months ago
Query dependent ranking using K-nearest neighbor
Many ranking models have been proposed in information retrieval, and recently machine learning techniques have also been applied to ranking model construction. Most of the existin...
Xiubo Geng, Tie-Yan Liu, Tao Qin, Andrew Arnold, H...