Due to the broad application of the internet, we are suffering from the problem of information overloading.To solve this problem, we recommend to users some suggestions through recommender system.User model is an important part of recommender system, which realizes the personalized expression for users.In this paper, by using the data mining method, the enterprise model is made to express the enterprises of manufacturing industry through the feature words and the relations among the feature words which are mined from the texts related to the enterprises′ products.The enterprise model is used to express the users′ needs and provides data foundation for the recommender system.
TIAN Zhi-long, ZHANG Gui-ping, WANG Pei-yan
. Assistant construction of enterprise model based on active learning[J]. Journal of Shenyang Aerospace University, 2013
, 30(5)
: 73
-79
.
DOI: 10.3969/j.issn.2095-1248.2013.05.015
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