Web search personalization: A fuzzy adaptive approach

Norouzzadeh, M, Bagheri, A and Saraee, MH ORCID: https://orcid.org/0000-0002-3283-1912 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,.

PDF - Published Version Restricted to Repository staff only Download (191kB) | Request a copy

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:	Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title:	2nd IEEE International Conference on Computer Science and Information Technology
Publisher:	IEEE
Refereed:	Yes
Depositing User:	Prof. Mo Saraee
Date Deposited:	26 Oct 2011 13:43
Last Modified:	15 Feb 2022 18:06
URI:	https://usir.salford.ac.uk/id/eprint/18691

Actions (login required)

Edit record (repository staff only)