Web search personalization: A fuzzy adaptive approach

Norouzzadeh, M; Bagheri, A; Saraee, MH

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.

Citation

Norouzzadeh, M., Bagheri, A., & Saraee, M. (2009, August). Web search personalization: A fuzzy adaptive approach. Presented at 2nd IEEE International Conference on Computer Science and Information Technology, 2009. ICCSIT 2009, Beijing, China,

• Presentation Conference Type: Other
• Conference Name: 2nd IEEE International Conference on Computer Science and Information Technology, 2009. ICCSIT 2009
• Conference Location: Beijing, China,
• Start Date: Aug 8, 2009
• End Date: Aug 11, 2009
• Publication Date: Jan 1, 2009
• Deposit Date: Oct 26, 2011
• Book Title: 2009 2nd IEEE International Conference on Computer Science and Information Technology
• DOI: https://doi.org/10.1109/ICCSIT.2009.5234590
• Publisher URL: http://dx.doi.org/10.1109/ICCSIT.2009.5234590
• Additional Information: Event Type : Conference