文献类型：期刊文献

中文题名：基于改进信任度的协同过滤推荐算法

英文题名：Collaborative Filtering Recommendation Algorithm Based on Improved Trustworthiness

作者：金亚亚[1];牟援朝[1]

机构：[1]华东理工大学商学院,上海200237

年份：2010

期号：10

起止页码：49

中文期刊名：现代图书情报技术

外文期刊名：New Technology of Library and Information Service

收录：北大核心:【北大核心2008】；CSSCI:【CSSCI2010_2011】；

语种：中文

中文关键词：协同过滤;信任度;相似度;推荐

外文关键词：Collaborative filtering Trustworthiness Similarity Recommendation

摘要：在传统协同过滤算法中引入信任度,提出一种改进信任度的协同过滤推荐算法。将相似度和信任度结合在一起,替代传统的相似度作为加权的权重,以提高推荐结果的准确性。实验证明,该算法与传统的协同过滤推荐算法和基于信任关系的推荐算法相比有更好的推荐效果。
This paper suggests that trust is another important factor effecting recommendation result and introduces trust- worthiness into traditional collaborative filtering algorithm. It proposes a collaborative filtering recommendation algorithm based on improved trustworthiness, which combines similarity and trustworthiness to substitute traditional similarity weight. The experiment results can prove the validity and superiority of the proposed algorithm.