Algorithm Research & Explore
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498-503

Group recommendation algorithm combining context information and self attention mechanism

Zhang Chuang1a,1b
Wang Wei1a,1b,2
Du Yuxuan1a,1b
Zheng Xiaoli1a,1b
1. a. School of Information & Electrical Engineering, b. Hebei Key Laboratory of Security & Protection Information Sensing & Processing, Hebei University of Engineering, Handan Hebei 056038, China
2. School of Internet of Things Engineering, Jiangnan University, Wuxi Jiangsu 214122, China

Abstract

There is dynamic complexity of preference among members in group recommendation, and the preferences of group members will affect each other. As for these questions, this paper proposed a group recommendation algorithm that combined the context information and self attention mechanism. Specifically, first of all, in order to better capture the dynamic relationship among group members, it used self attention mechanism to automatically learn the context information of users in the group and the relationship weights among other members in the group. Secondly, according to the group matrix learned from the self attention mechanism, it embedded the average value to obtain the group preference expression. Finally, according to group preference, it applied the Bayesian personalized ranking method into the test for group recommendation. During the research, the author used the above mentioned method to test on two datasets, namely MovieLens-1M and CAMRa2011. As a result, compared with the benchmark algorithms, this method has improved the evaluation indexes HR and NDCG. And the experimental results show that this method achieves better effect in group recommendation.

Foundation Support

国家自然科学基金资助项目(61802107)
教育部—中国移动科研基金资助项目(MCM20170204)
河北省高等学校科学技术研究项目(ZD2020171)
江苏省博士后科研资助计划资助项目(1601085C)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.05.0325
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 2
Section: Algorithm Research & Explore
Pages: 498-503
Serial Number: 1001-3695(2023)02-031-0498-06

Publish History

[2022-09-23] Accepted Paper
[2023-02-05] Printed Article

Cite This Article

张闯, 王巍, 杜雨晅, 等. 融合上下文信息与自注意力机制的群组推荐算法 [J]. 计算机应用研究, 2023, 40 (2): 498-503. (Zhang Chuang, Wang Wei, Du Yuxuan, et al. Group recommendation algorithm combining context information and self attention mechanism [J]. Application Research of Computers, 2023, 40 (2): 498-503. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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