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Web search personalization: A fuzzy adaptive approach

Norouzzadeh, M, Bagheri, A and Saraee, M 2009, Web search personalization: A fuzzy adaptive approach , in: 2nd IEEE International Conference on Computer Science and Information Technology, 2009. ICCSIT 2009, 8-11 August 2009, Beijing, China,.

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    Abstract

    Today the growing rate of Web data has become so large and this is the reason for turning search engines into the major decision support systems for the Internet. In this paper, a novel and simple approach is proposed to improve Web search. The approach is a client-side method towards personalization of web search which adapts the results based on user interests. In addition we define a fuzzy variable to clarify the relevance of each document. In real world, notion of relevance is a fuzzy concept and certainly the relevancy ratios of some relevant documents are not equal. By applying our approach to the Google's datasets the result shows that this approach can improve performance in search.

    Item Type: Conference or Workshop Item (Paper)
    Themes: Memory, Text and Place
    Schools: Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
    Journal or Publication Title: 2nd IEEE International Conference on Computer Science and Information Technology
    Publisher: IEEE
    Refereed: Yes
    Depositing User: Dr Mo Saraee
    Date Deposited: 26 Oct 2011 14:43
    Last Modified: 20 Aug 2013 18:16
    URI: http://usir.salford.ac.uk/id/eprint/18691

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