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» Inferring query intent from reformulations and clicks
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JASIS
2010
170views more  JASIS 2010»
13 years 3 months ago
Analyzing URL queries
This study investigated a relatively unexamined query type, queries composed of URLs. The extent, variation and user click-through behavior was examined to determine the intent be...
Wei Meng Lee, Mark Sanderson
WWW
2011
ACM
13 years 9 days ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma
COLING
2010
13 years 11 days ago
Search with Synonyms: Problems and Solutions
Search with synonyms is a challenging problem for Web search, as it can easily cause intent drifting. In this paper, we propose a practical solution to this issue, based on co-cli...
Xing Wei, Fuchun Peng, Huihsin Tseng, Yumao Lu, Xu...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
14 years 6 months ago
BBM: bayesian browsing model from petabyte-scale data
Given a quarter of petabyte click log data, how can we estimate the relevance of each URL for a given query? In this paper, we propose the Bayesian Browsing Model (BBM), a new mod...
Chao Liu 0001, Christos Faloutsos, Fan Guo
WWW
2009
ACM
14 years 6 months ago
Click chain model in web search
Given a terabyte click log, can we build an efficient and effective click model? It is commonly believed that web search click logs are a gold mine for search business, because th...
Anitha Kannan, Chao Liu 0001, Christos Faloutsos, ...