• 先进计算与数据处理 •

基于项目评分与类型评分聚类的推荐算法

1. 上海海事大学 信息工程学院,上海 201306
• 收稿日期:2017-05-22 出版日期:2018-06-15 发布日期:2018-06-15
• 作者简介:段元波(1993—),男,硕士研究生,主研方向为数据挖掘;高茂庭,教授、博士。
• 基金项目:

国家自然科学基金(61202022)。

Recommendation Algorithm Based on Clusterings of Item Rating and Type Rating

DUAN Yuanbo,GAO Maoting

1. College of Information Engineering,Shanghai Maritime University,Shanghai 201306,China
• Received:2017-05-22 Online:2018-06-15 Published:2018-06-15

Abstract:

To solve the problems that some similar users will be missed and the basis for selecting nearest neighbors is single while user clustering,a recommendation algorithm based on clusterings of item rating and type rating is proposed.The user-item rating matrix and the user-item type rating matrix according to user’s rating records are firstly generated.The fuzzy C-means clustering is carried out by using the above two matrices and the improved the distance measurement method.Then,the nearest neighbor is selected according to the membership degree matrix generated by the clustering.Finally,the prediction rating is generated by the parameter weighting.Experimental results on MovieLens dataset show that the proposed algorithm can reflect the user’s rating accurately and improve the accuracy of the recommendation system effectively.