期刊
2021 7TH INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT (ICIM 2021)
卷 -, 期 -, 页码 57-61出版社
IEEE
DOI: 10.1109/ICIM52229.2021.9417144
关键词
group information recommendation; user dynamic profile; collaborative filtering; preference aggregation; group detection
资金
- Philosophy and Social Sciences Fund Project of Guangdong Province [GD17CTS03]
- General projects of Natural Science Foundation of Guangdong Province [2018A030313933]
- National Natural Science Foundation of China [71740024]
- Guangzhou philosophy and social science project [2017GZYB98]
This paper analyzes group information recommendation research, proposes a new method based on user dynamic profile information optimization, and experimentally verifies its high efficiency, utilizing data from Zhihu.
Group information recommendation not only satisfies the preferences of the individuals, but also maximizes the satisfaction of the whole group. This paper firstly analyzes the related research of group information recommendation, and points out the problems of the current group information recommendation. Secondly, aiming at the problems of low accuracy of similar user calculation and incomplete consideration of expert users, this paper proposes a new group information recommendation method based on the user dynamic profile information optimization. Finally, the paper carries out the experiment to test and verify the high efficiency of the new algorithm using the data of Zhihu.
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