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  Krikon, Eyal Add to Alert Profile  
 
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  A study of the integration of passage-, document-, and cluster-based information for re-ranking search results
Krikon E., Kurland O. Information Retrieval 14(6): 593-616, 2011.  Type: Article

Improving the quality of the top results of Web search engines is one of the primary research issues in information retrieval. It has become even more important since most Web users usually only look at the top one or two search result...
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May 15 2012  
  Utilizing inter-passage and inter-document similarities for reranking search results
Krikon E., Kurland O., Bendersky M. ACM Transactions on Information Systems 29(1): 1-28, 2010.  Type: Article

With search engines, users usually examine the top ten search results. In this paper, the authors present a language-model-based approach to re-ranking search results to improve precision at the top five and top ten rank positions. The...
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May 11 2011  

   
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