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» Ranking Query Results using Context-Aware Preferences
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WWW
2010
ACM
14 years 4 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
PVLDB
2008
118views more  PVLDB 2008»
13 years 9 months ago
Efficient top-k processing over query-dependent functions
We study the efficient evaluation of top-k queries over data items, where the score of each item is dynamically computed by applying an item-specific function whose parameter valu...
Lin Guo, Sihem Amer-Yahia, Raghu Ramakrishnan, Jay...
CIKM
2011
Springer
12 years 10 months ago
S3K: seeking statement-supporting top-K witnesses
Traditional information retrieval techniques based on keyword search help to identify a ranked set of relevant documents, which often contains many documents in the top ranks that...
Steffen Metzger, Shady Elbassuoni, Katja Hose, Ral...
IDEAS
2006
IEEE
104views Database» more  IDEAS 2006»
14 years 4 months ago
Exploiting Indifference for Customization of Partial Order Skylines
Unlike numerical preferences, preferences on attribute values do not show an inherent total order, but skyline computation has to rely on partial orderings explicitly stated by th...
Wolf-Tilo Balke, Ulrich Güntzer, Wolf Sibersk...
CIKM
2010
Springer
13 years 8 months ago
A structured approach to query recommendation with social annotation data
Query recommendation has been recognized as an important mean to help users search and also improve the usability of search engines. Existing approaches mainly focus on helping us...
Jiafeng Guo, Xueqi Cheng, Gu Xu, Huawei Shen