Web Search Personalization: A Fuzzy Adaptive Approach
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.
Web Search Search Personalization Fuzzy Theory Adaptive Search
Mohammad. S Norouzzadeh Ayoub Bagheri Mohammad. H Saraee
Data Mining Lab, Department of Electrical and Computer Engineering Isfahan University of Technology，Isfahan, Iran
国际会议
北京
英文
2091-2096
2009-08-08（万方平台首次上网日期，不代表论文的发表时间）