Explicit Feedback Based Movie Recommendation System: a Survey

被引:0
|
作者
Reshak, Kaiser A. [1 ]
Dhannoon, Ban N. [1 ]
Sultani, Zainab N. [1 ]
机构
[1] Al Nahrain Univ, Coll Sci, Comp Sci Dept, Baghdad, Iraq
来源
8TH INTERNATIONAL CONFERENCE ON APPLIED SCIENCE AND TECHNOLOGY (ICAST 2020) | 2020年 / 2290卷
关键词
Recommender system; Movie recommendation system; content-based filtering; collaborative filtering;
D O I
10.1063/5.0027433
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
There is a significant growth of systems that provide a huge amount of data over social relationships. Technological advances nowadays allow social-based technology to grow continuously. There are many information systems through which users can share different types of information about products and/or services. Users build rich relationships based on new technology models. Today, many recommendation systems have been developed for different domains, however, they are not accurate enough to achieve users' information needs. Therefore, it is necessary to build high-quality recommendation systems. Designers face many problems and challenges that require appropriate attention in their design. In this paper, recent literatures on the movie recommendation system are reviewed in order to envisage methods, challenges and research opportunities in developing a high-quality recommendation.
引用
收藏
页数:13
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