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文章基本信息

  • 标题:Integrating Personalization and Image based Search System to Enhance Search Results
  • 本地全文:下载
  • 作者:Sneha A. Taksande ; Prof. A. V. Deorankar
  • 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:2017
  • 卷号:5
  • 期号:5
  • 页码:9470
  • DOI:10.15680/IJIRCCE.2017.0505038
  • 出版社:S&S Publications
  • 摘要:In today’s situation, information is the need of society as it has significant importance for contemporarysuccess in every field thus a search engine come to play a crucial role in information retrieval. Sometimes the searchengines may not give the accurate search results when queries are short and ambiguous. So the proposed system givesimage based more relevant web pages. And users query is assisted by the system internally, which formulate the queryand further submitted to the google. And the more relevant results are obtained according to the query. The accuracy ofweb search results can be improve by considering the textual contents of the images in correlation with thepersonalization. For image based search system the images are obtained from google using google API. These imagesare categorized using JSON of googles API. For personalized search the data is fetched from google, using googles APIaccording to users’ profession. This method retrieve the more relevant information for professional search. Theproposed search system is work in association with google as it is taking the data from google and performing rerankingon this data. Thus the integration of both the mechanism implies to enhance the search results.
  • 关键词:Search engine; Web search results; Image based search; personalized search; Relevant Information
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