An Event-based Geo-Social User Profile for a Personalized Information Retrieval

被引：0
|
作者：
Rafa, Tahar [1 ]
Kechid, Samir [2 ]
机构：
[1] Univ MEDEA, Dept Math & Comp Sci, Medea, Algeria
[2] USTHB, Dept Comp Sci, LRIA Lab, Algiers, Algeria
来源：
PROCEEDINGS OF 2017 FIRST INTERNATIONAL CONFERENCE ON EMBEDDED & DISTRIBUTED SYSTEMS (EDIS 2017) | 2017年
关键词：
Personalized information retrieval; geo-social user profile; profile combination; event extraction;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The user of a social website is often interested by information about events that have interested other users, especially his friends, and that appear remarkably in their researches, exchanges and sharing. In this paper, for a better description of the user and his interests, we propose: (i) a geo-social user profile that takes into account the event aspect of user information needs, (ii) a search process integrating the user profile for a better personalization and adaptation of the search results.
引用
收藏
页码：50 / 54
页数：5
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