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  • 标题:Cold Start Problem in Personalized Web Search
  • 本地全文:下载
  • 作者:Darshana Gupta ; Vatika Tayal ; Amit Thakkar
  • 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:2016
  • 卷号:4
  • 期号:1
  • 页码:967
  • DOI:10.15680/IJIRCCE.2016.0401118
  • 出版社:S&S Publications
  • 摘要:In today's era, people are using different search engines to retrieve relevant information as per their interest. Web search engines retrieve results based on only query terms i.e. keywords. The user may also enter ambiguous query , a typical web search engine retrieves similar set of results without considering the need behind the query of users which is far optimal from individual user interest. A perfect search engine delivers the right information to right user at right time. Pe rsonalized web search delivers the right information to right user which is adaptable for individual user and satisfy users need by maintaining a user profile for an individual. In this paper, we have reviewed on many efficient personalized web search appr oaches which were proposed by many authors. At the end, we have introduced the cold start i.e. new user/new query problem in personalized web search. To the best of our knowledge, this is the first study that introduces the cold start problem in personaliz ed web search
  • 关键词:Cold Start; ; Explicit Feedback; ; ; Implicit Feedback; Personalized Web Search; User profile
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