An efficient collaborative information retrieval system by incorporating the user profile

被引：0

作者：

Naderi, Hassan ^{[1
]}

Rumpler, Beatrice ^{[1
]}

Pinon, Jean-Marie ^{[1
]}

机构：

[1] Inst Natl Sci Appl, Batiment Blaise Pascal 7 Ave, F-69621 Villeurbanne, France

来源：

ADAPTIVE MULTIMEDIA RETRIEVAL: USER, CONTEXT, AND FEEDBACK | 2007年 / 4398卷

关键词：

information retrieval; personalization; personalized collaborative;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As the volume of information augments, the importance of the Information Retrieval (IR) increases. Collaborative Information Retrieval (CIR) is one of the popular social-based IR approaches. 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. In this paper we deal with the personalization problem in the CIR systems by constructing a profile for each user. We propose three new approaches to calculate the user profile similarity that we will employ in our personalized CIR algorithm.

引用

页码：247 / +

页数：3

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