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  • 标题:Mining User Profile Using Clustering From Search Engine Logs
  • 本地全文:下载
  • 作者:DR.A.MUTHU KUMARAVEL
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:6
  • 出版社:S&S Publications
  • 摘要:undamental component of any personalization application is user profiling. The existing user profiling strategies are based on users interest (i.e. positive preferences).The main focus is on search engine personalization and to develop several concept - base d user profiling methods. Concept - based user profiling methods deals with both positive and negative preferences. This user profiles can be integrated into the ranking algorithm of a search engine so that search result can be ranked according to individual users interest. The RSCF makes a search of data containing the item in the search results, the required data is been clicked by the user and this clicked data is given as the input and generates the rankers as the output. . The negative preference increase s the separation between the similar and dissimilar queries. This separation provides a clear threshold for agglomerative clustering algorithm and improves the overall quality
  • 关键词:Negative preferences; search engine; user profiling.
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