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» Ranking Query Results using Context-Aware Preferences
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VLDB
1997
ACM
80views Database» more  VLDB 1997»
13 years 12 months ago
Merging Ranks from Heterogeneous Internet Sources
Many sources on the Internet and elsewhere rank the objects in query results according to how well these objects match the original query. For example, a real-estate agent might r...
Luis Gravano, Hector Garcia-Molina
WWW
2010
ACM
14 years 2 months ago
Sampling high-quality clicks from noisy click data
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
Adish Singla, Ryen W. White
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
14 years 8 months ago
Spying Out Accurate User Preferences for Search Engine Adaptation
Abstract. Most existing search engines employ static ranking algorithms that do not adapt to the specific needs of users. Recently, some researchers have studied the use of clickth...
Lin Deng, Wilfred Ng, Xiaoyong Chai, Dik Lun Lee
SIGMOD
2007
ACM
198views Database» more  SIGMOD 2007»
14 years 7 months ago
Addressing diverse user preferences in SQL-query-result navigation
Database queries are often exploratory and users often find their queries return too many answers, many of them irrelevant. Existing work either categorizes or ranks the results t...
Zhiyuan Chen, Tao Li
ITCC
2003
IEEE
14 years 1 months ago
The Effects of Search Engines and Query Operators on Top Ranked Results
We examine whether the use of query operators changes the documents retrieved by three popular Web search engines. One hundred queries containing query operators were selected fro...
Bernard J. Jansen, Caroline M. Eastman