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  • 标题:Incorporating Synonyms into Snippet Based Query Recommendation System
  • 本地全文:下载
  • 作者:Megha R. Sisode ; Ujwala M. Patil
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2014
  • 卷号:4
  • 期号:10
  • 页码:01-13
  • DOI:10.5121/csit.2014.41001
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Recently, growth of internet has been increased for information retrieval though it is difficult toextract the relevant information in less time. Search engine sometime fails to understand usersearch intend. Query recommendation can be used to help user to state exactly their informationneed. Search engine can return appropriate result to meet users’ information needs. There arevarious methods based on history of users and snippets to retrieve the information. But thesemethods fail to satisfy users need. Therefore in addition of history and snippets with synonymswill do better. Moreover user preferences can be used to build the user profile which will helpin effective recommendations. Here for given query recommendation the synonyms areextracted on line. Synonym based method ranks the clicked URLs at the top of the result basedon user profile. The performance of the system shows that the synonym based approach givebetter and effective recommendation for all queries as compared to previous methods.
  • 关键词:query recommendation; synonym; snippets; information retrieval; user profile
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