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» Ranking Entities Using Web Search Query Logs
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WWW
2007
ACM
14 years 8 months ago
Determining the user intent of web search engine queries
Determining the user intent of Web searches is a difficult problem due to the sparse data available concerning the searcher. In this paper, we examine a method to determine the us...
Bernard J. Jansen, Danielle L. Booth, Amanda Spink
WWW
2008
ACM
14 years 8 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
WWW
2010
ACM
14 years 2 months ago
Visualizing differences in web search algorithms using the expected weighted hoeffding distance
We introduce a new dissimilarity function for ranked lists, the expected weighted Hoeffding distance, that has several advantages over current dissimilarity measures for ranked s...
Mingxuan Sun, Guy Lebanon, Kevyn Collins-Thompson
SIGIR
2008
ACM
13 years 7 months ago
The impact of history length on personalized search
Personalized search is a promising way to better serve different users' information needs. Search history is one of the major information sources for search personalization. ...
Yangbo Zhu, Jamie Callan, Jaime G. Carbonell
SIGMOD
2006
ACM
138views Database» more  SIGMOD 2006»
14 years 7 months ago
Context-sensitive ranking
The original PageRank algorithm for improving the ranking of search-query results computes a single vector, using the link structure of the Web, to capture the relative "impor...
Rakesh Agrawal, Ralf Rantzau, Evimaria Terzi