Graph-based profile similarity calculation method and evaluation

被引:0
|
作者
Naderi, Hassan [1 ]
Rumpler, Beatrice [1 ]
机构
[1] LIRIS, INSA Lyon, F-69621 Villeurbanne, France
来源
关键词
user profile; CIR; profile similarity; dynamic community creation;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Collaborative Information Retrieval (CIR) is a new technique for resolving the current problem of information retrieval systems. A CIR system registers the previous user interactions to response to the subsequent user queries more efficiently. But, the goals and the characteristics of two users may be different; so when they send the same query to a CIR system, they may be interested in two different lists of documents. To resolve this problem, we have developed a personalized CIR system, called PERCIRS, which is based on the similarity between two user profiles. In this paper, we propose a new method for User Profile Similarity Calculation UPSC. Finally, we introduce a mechanism for evaluating UPSC methods.
引用
收藏
页码:637 / 641
页数:5
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