Digital TV program recommendation system based on collaboration filtering

被引：0
|
作者：
Yin, Fulian [1 ,2 ]
Chai, Jianping [1 ]
Wang, Hanlei [1 ]
Gao, Ya [1 ]
机构：
[1] Information Engineering School, Communication University of China, Beijing, China
[2] Collaborative Innovation Center of Communication Ability Construction, Communication University of China, Beijing, China
来源：
Communications in Computer and Information Science | 2014年 / 472卷
关键词：
Collaborative filtering - Recommender systems;
D O I：
10.1007/978-3-662-45049-9_86
中图分类号：
学科分类号：
摘要：
In order to solve the problem of information overload brought by over abundant digital television (TV) program resources, this paper proposed a digital TV program recommendation system based on collaborative filtering (CF) which contains information inputting unit, system analysis unit and recommendation sending unit. The audience behavior analysis proposed in this paper was based on two forms: personalized audience behaviour analysis and group audience behaviour analysis, which can recommend interesting TV programs suited for the particular individual or group. The result of simulation proves the feasibility of algorithms. © Springer-Verlag Berlin Heidelberg 2014.
引用
收藏
页码：531 / 538
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