Research on Personalized Document Retrieval and Ranking Strategy

被引：0
|
作者：
Tang, Hai [1 ]
Hu, Zhihui [1 ]
机构：
[1] Hubei Univ Automot Technol, Sch Elect & Informat Engn, Shiyan 442002, Peoples R China
来源：
PROCEEDINGS OF 2019 IEEE 8TH JOINT INTERNATIONAL INFORMATION TECHNOLOGY AND ARTIFICIAL INTELLIGENCE CONFERENCE (ITAIC 2019) | 2019年
关键词：
cognitive structure; word Relativity; personalized retrieval; document ranking;
D O I：
10.1109/itaic.2019.8785772
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to provide appropriate text information in line with users' cognitive level, a new personalized retrieval method is proposed in this paper. At first user's personalized cognitive structure should be established and with this structure user's cognitive level can be represented formally. Then related concept can be extended around the keywords, and queried documents should be ranked according to the user's cognitive level and the content of the document. Experiments show that different users will get different search results even if they use the same keywords.
引用
收藏
页码：1423 / 1426
页数：4
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