In order to solve the cold start problem existing at the beginning of user interest modeling, this paper puts the literature published by researchers as the data source of user interest modeling, and applies the technology of text mining and ontology modeling in user modeling, and proposes a method which describes user interest by using entity relationship pair. Compared to the method by using single keyword or entity, this method has more semantic information and can describe user interest better. Finally, the individuals of user interest ontology are stored into the Sesame ontology database and can be queried through SeRQL and SPARQL,and the semantic storage and retrieval of user interest information is implemented.
Yao Xiaona
,
Zhu Zhongming
,
Wang Sili
. User Interest Modeling Based on Literature Mining[J]. Library and Information Service, 2013
, 57(18)
: 122
-126
.
DOI: 10.7536/j.issn.0252-3116.2013.18.021
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