An Effective Collaborative Filtering Based Method for Movie Recommendation

被引：2

作者：

Palak, Rafal ^{[1
]}

Ngoc Thanh Nguyen ^{[1
]}

机构：

[1] Wroclaw Univ Sci & Technol, Dept Informat Syst, Fac Comp Sci & Management, Wroclaw, Poland

来源：

MULTIMEDIA AND NETWORK INFORMATION SYSTEMS, MISSI 2016 | 2017年 / 506卷

关键词：

Movie recommendation; Collaborative filtering; Effective recommendation; SYSTEMS;

D O I：

10.1007/978-3-319-43982-2_13

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Collaborative filtering approach is one of the most widely used in recommendation processes. The big problem of this approach is its complexity and scalability. This paper presents an effective method for movie recommendation based on collaborative filtering. We show that the computational complexity of our method is lower than one known from the literature, worked out by Lekakos and Caravelas (Multimedia Tools Appl 36(1-2): 55-70 (2006), [10]).

引用

页码：149 / 159

页数：11

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