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» Ranking Entities Using Web Search Query Logs
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IAT
2008
IEEE
13 years 7 months ago
Acquiring Explicit User Goals from Search Query Logs
Knowledge about user goals is crucial for realizing the vision of intelligent agents acting upon user intent on the web. In a departure from existing approaches, this paper propos...
Markus Strohmaier, Peter Prettenhofer, Mark Kr&oum...
ICDCIT
2005
Springer
14 years 1 months ago
FlexiRank: An Algorithm Offering Flexibility and Accuracy for Ranking the Web Pages
The existing search engines sometimes give unsatisfactory search result for lack of any categorization. If there is some means to know the preference of user about the search resul...
Debajyoti Mukhopadhyay, Pradipta Biswas
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
APWEB
2005
Springer
14 years 1 months ago
Using Probabilistic Latent Semantic Analysis for Personalized Web Search
Web users use search engine to find useful information on the Internet. However current web search engines return answer to a query independent of specific user information need. S...
Chenxi Lin, Gui-Rong Xue, Hua-Jun Zeng, Yong Yu
WSDM
2009
ACM
163views Data Mining» more  WSDM 2009»
14 years 2 months ago
Tagging with Queries: How and Why?
Web search queries capture the information need of search engine users. Search engines store these queries in their logs and analyze them to guide their search results. In this wo...
Ioannis Antonellis, Hector Garcia-Molina, Jawed Ka...