A Collaborative Filtering Recommender Algorithm Based On the User Interest Model

被引：5
|
作者：
Zhu Min [1 ]
Yao Shuzhen [1 ]
机构：
[1] Beihang Univ, Sch Comp Sci & Engn, Beijing, Peoples R China
来源：
2014 IEEE 17TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING (CSE) | 2014年
关键词：
collaborative filtering recommender algorithm; cluster; user interest model; memory curve;
D O I：
10.1109/CSE.2014.67
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
To cope with the transfer of user interest and improve the accurate of prediction in recommender system, this paper proposes a Dynamic User-Interest-Model (DUIM). The model adopts the memory curve equation to address the influence of time factor. Users' long term interest and short term interest can be embodied clearly in this model. Based on the model, the paper presents a novel collaborative filtering recommender algorithm (Model-based Collaborative Filtering Recommender Algorithm, MCF). Experiments prove that MCF gets better prediction and higher time efficiency compared with other similar algorithms.
引用
收藏
页码：198 / 202
页数：5
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