An Approach to Automated User Interest Matching in Online Classified Advertising Systems

被引：0
|
作者：
Gribova, Valeriya [1 ]
Kachanov, Pavel [1 ]
机构：
[1] Russian Acad Sci, Inst Automat & Control Proc, Far Eastern Branch, Vladivostok 690041, Russia
来源：
EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PROCEEDINGS | 2009年 / 5754卷
关键词：
Internet; Online classified systems; Intelligent systems; User interest matching;
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：
The paper presents an approach to automated user interest matching in online classified advertising systems which is based on the analysis of the structure and semantics of classified ads. A classified advertisement structure and classified ad types along with the examples are described in the paper.
引用
收藏
页码：665 / 673
页数：9
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