数字图书馆论坛Issue(3)：46-51,6.DOI:10.3772/j.issn.1673-2286.2012.03.011
机会发现理论对推荐系统的改进
The Improvement on Recommendation System Based on the Theory of Chance Discovery
裴倩 1王玉平2
作者信息
- 1. 西南科技大学经济管理学院 绵阳621010
- 2. 西南科技大学图书馆 绵阳621010
- 折叠
摘要
Abstract
In this paper, current situation and problems of recommendation system are analyzed. Chance discovery theory is introduced to improve recommendation system, for the characteristics of paying more close attention to change, discovering the implicit relationship and weak signal. It is respectively analyzed from the following aspects: to collect user information, and to grasp the changes of users' interest and matching resources. Several measures are benefit to improve the recommendation system, such as to improve the interest model, to establish adaptive recommendation module and to provide integrated recommendation.关键词
机会/机会发现/推荐系统Key words
Chance/Chance discovery/Recommendation system引用本文复制引用
裴倩,王玉平..机会发现理论对推荐系统的改进[J].数字图书馆论坛,2012,(3):46-51,6.
