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» Ranking List Dispersion as a Query Performance Predictor
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CIKM
2007
Springer
14 years 2 months ago
Query expansion using probabilistic local feedback with application to multimedia retrieval
As one of the most effective query expansion approaches, local feedback is able to automatically discover new query terms and improve retrieval accuracy for different retrieval ...
Rong Yan, Alexander G. Hauptmann
CIKM
2001
Springer
14 years 10 days ago
Relevance Score Normalization for Metasearch
Given the ranked lists of documents returned by multiple search engines in response to a given query, the problem of metasearch is to combine these lists in a way which optimizes ...
Mark H. Montague, Javed A. Aslam
TREC
2003
13 years 9 months ago
Overview of the TREC 2003 Web Track
The TREC 2003 web track consisted of both a non-interactive stream and an interactive stream. Both streams worked with the .GOV test collection. The non-interactive stream continu...
Nick Craswell, David Hawking, Ross Wilkinson, Ming...
SIGIR
2011
ACM
12 years 10 months ago
Learning search tasks in queries and web pages via graph regularization
As the Internet grows explosively, search engines play a more and more important role for users in effectively accessing online information. Recently, it has been recognized that ...
Ming Ji, Jun Yan, Siyu Gu, Jiawei Han, Xiaofei He,...
PODS
2010
ACM
150views Database» more  PODS 2010»
14 years 28 days ago
Understanding queries in a search database system
It is well known that a search engine can significantly benefit from an auxiliary database, which can suggest interpretations of the search query by means of the involved concep...
Ronald Fagin, Benny Kimelfeld, Yunyao Li, Sriram R...