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Efficient User Search Results Based On Query Relevance


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1 Kathir College of Engineering, Coimbatore, India
     

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Automatically characteristic the query group is useful for variety of various computer program elements and applications, like question suggestions, result ranking, question alterations, sessionization, and cooperative search. In our approach, we have a tendency to transcend approaches that have confidence matter similarity or time thresholds, and that we propose a lot of strong approach that leverages search question logs. Incremental algorithm algorithm is used in the proposed approach to improve the quality of search. Incremental algorithms are radically different from static strategies for the approach they build and use recommendation models.
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  • Efficient User Search Results Based On Query Relevance

Abstract Views: 197  |  PDF Views: 2

Authors

A. Revathi
Kathir College of Engineering, Coimbatore, India
D. Ravi
Kathir College of Engineering, Coimbatore, India

Abstract


Automatically characteristic the query group is useful for variety of various computer program elements and applications, like question suggestions, result ranking, question alterations, sessionization, and cooperative search. In our approach, we have a tendency to transcend approaches that have confidence matter similarity or time thresholds, and that we propose a lot of strong approach that leverages search question logs. Incremental algorithm algorithm is used in the proposed approach to improve the quality of search. Incremental algorithms are radically different from static strategies for the approach they build and use recommendation models.