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» Term Ranking for Clustering Web Search Results
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WAIM
2007
Springer
14 years 3 months ago
Semantic-Based Grouping of Search Engine Results Using WordNet
Terms used in search queries often have multiple meanings. Consequently, search results corresponding to different meanings may be retrieved, making identifying relevant results in...
Reza Hemayati, Weiyi Meng, Clement T. Yu
WWW
2007
ACM
14 years 9 months ago
Brand awareness and the evaluation of search results
We investigate the effect of search engine brand (i.e., the identifying name or logo that distinguishes a product from its competitors) on evaluation of system performance. This r...
Bernard J. Jansen, Mimi Zhang, Ying Zhang
WWW
2005
ACM
14 years 9 months ago
Exploiting the deep web with DynaBot: matching, probing, and ranking
We present the design of Dynabot, a guided Deep Web discovery system. Dynabot's modular architecture supports focused crawling of the Deep Web with an emphasis on matching, p...
Daniel Rocco, James Caverlee, Ling Liu, Terence Cr...
SIGIR
1998
ACM
14 years 1 months ago
Web Document Clustering: A Feasibility Demonstration
Users of Web search engines are often forced to sift through the long ordered list of document “snippets” returned by the engines. The IR community has explored document cluste...
Oren Zamir, Oren Etzioni
NLPRS
2001
Springer
14 years 1 months ago
Automatically Harvesting Katakana-English Term Pairs from Search Engine Query Logs
This paper describes a method of extracting katakana words and phrases, along with their English counterparts from non-aligned monolingual web search engine query logs. The method...
Eric Brill, Gary Kacmarcik, Chris Brockett