Exploiting Visual Contents in Posters and Still Frames for Movie Recommendation

Exploiting Visual Contents in Posters and Still Frames for Movie Recommendation

Recommender systems, e.g., movie recommendation, play an important role in our life. However, few movie recommendation methods have considered the rich visual content information in posters and still frames, which can be used to alleviate the data sparsity and cold start problems in recommendation....

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Bibliographic Details
Main Authors: Xiaojie Chen, Pengpeng Zhao, Jiajie Xu, Zhixu Li, Lei Zhao, Yanchi Liu, Victor S. Sheng, Zhiming Cui
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Movie recommendation
visual contents
probabilistic matrix factorization
Online Access:https://ieeexplore.ieee.org/document/8529200/

Internet

https://ieeexplore.ieee.org/document/8529200/

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