JOURNAL ARTICLE

Research on Personalized Document Retrieval and Ranking Strategy

Abstract

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.

Keywords:
Computer science Information retrieval Ranking (information retrieval) Cognition Personalized search Document retrieval Cognitive models of information retrieval Order (exchange) World Wide Web Search engine Human–computer information retrieval

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
13
Refs
0.08
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Advanced Text Analysis Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Computational Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Information Retrieval and Search Behavior
Physical Sciences →  Computer Science →  Information Systems

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