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» Term Ranking for Clustering Web Search Results
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13 years 8 months ago
An efficient algorithm to rank Web resources
How to rank Web resources is critical to Web Resource Discovery (Search Engine). This paper not only points out the weakness of current approaches, but also presents in-depth anal...
Dell Zhang, Yisheng Dong
CIKM
2009
Springer
14 years 3 months ago
Analyzing and evaluating query reformulation strategies in web search logs
Users frequently modify a previous search query in hope of retrieving better results. These modifications are called query reformulations or query refinements. Existing research h...
Jeff Huang, Efthimis N. Efthimiadis
RIAO
2007
13 years 10 months ago
Query Refinement based on Topical Term Clustering
We propose a method for supporting query refinement using topical term clusters. First, we propose a new term weighting method that can extract terms strongly related to a specifi...
Hiromi Wakaki, Tomonari Masada, Atsuhiro Takasu, J...
SEMWEB
2009
Springer
14 years 3 months ago
Using Naming Authority to Rank Data and Ontologies for Web Search
Abstract. The focus of web search is moving away from returning relevant documents towards returning structured data as results to user queries. A vital part in the architecture of...
Andreas Harth, Sheila Kinsella, Stefan Decker
CIKM
2008
Springer
13 years 11 months ago
Mining term association patterns from search logs for effective query reformulation
Search engine logs are an emerging new type of data that offers interesting opportunities for data mining. Existing work on mining such data has mostly attempted to discover knowl...
Xuanhui Wang, ChengXiang Zhai