计算机工程与应用2011，Vol.47Issue(16)：144-146,150,4.DOI:10.3778/j.issn.1002-8331.2011.16.044
用户显意识下的多重态度个性化推荐算法
Personalized recommendation algorithm based on multi-attribute model of attitude of user salient belief.
夏秀峰 1代沁 1丛丽晖1
作者信息
- 1. 沈阳航空工业学院计算机学院,沈阳,110136
- 折叠
摘要
Abstract
Personalized recommendation technology has been widely applied in e-commerce. For the deficiency of the existing algorithms of product features can not reflect the different understanding of the same product between users, this paper presents a personalized recommendation algorithm based on multi-attribute model of attitude of user salient belief , user salient belief and multi-attribute model of attitude-based data weight are proposed. The algorithm describes user's psychology from different view,for this reason,the recommendation result is more satisfied user's needs. Experimental results show that,the proposed algorithm outperforms the traditional algorithm based on product features algorithm.关键词
商品特征/个性化推荐/显意识/多重态度Key words
product features/personalized recommendation/salient belief/multi-attribute model of attitude分类
信息技术与安全科学引用本文复制引用
夏秀峰,代沁,丛丽晖..用户显意识下的多重态度个性化推荐算法[J].计算机工程与应用,2011,47(16):144-146,150,4.
