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Academic Journal of Computing & Information Science, 2020, 3(1); doi: 10.25236/AJCIS.2020.030115.

Personalized recommendation system of UGC (User Generated Content) video resources based on user interest graphs

Author(s)

Tong Wua,*, Yuanqing Lib, Yiping Wangc

Corresponding Author:
Tong Wu
Affiliation(s)

New Media College, Communication University of Zhejiang, Hangzhou, China
a,* 516868946@qq.com, b 1049480485@qq.com c 3242782698@qq.com

Abstract

The research object of this paper is a personalized recommendation system of UGC (User Generated Content) video resource based on user interest graph. This article takes the personalized recommendation system of UGC video resources under the interest graph of the whole network as the research object, and generates and integrates user interest graph, development evolution and feedback of user interest graph, analysis and recognition of video content based on deep learning. The key technology theories and implementation plan of the video recommendation system based on user interest graphs are studied deeply. The goal is to form a perfect user interest graph and UGC video resource personalized recommendation framework, and providing solutions for personalized recommendation of network video resources.

Keywords

Interest graph, Deep learning, UGC video resources, Recommendation system

Cite This Paper

Tong Wu, Yuanqing Li, Yiping Wang. Personalized recommendation system of UGC (User Generated Content) video resources based on user interest graphs. Academic Journal of Computing & Information Science (2020), Vol. 3, Issue 1: 142-149. https://doi.org/10.25236/AJCIS.2020.030115.

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