Algorithm Research & Explore
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1059-1064

Graph convolution collaborative filtering algorithm for discriminating interaction intentions

Zheng Teju
Liu Xiangyang
College of Science, Hohai University, Nanjing 211100, China

Abstract

In recent years, some collaborative filtering recommendation models based on graph convolutional networks have been proposed. However, most models regard neighborhood weights as constants and do not distinguish the interaction between users and items, so they cannot obtain a satisfactory recommendation list for users. In order to get a more accurate embedded representation of users and items, this paper proposed a multi-intention-based graph convolution collaborative filtering recommendation algorithm MiGCCF. The algorithm decomposed the interaction relationship, it analyzed the interaction intention between the user and the item in a fine-grained manner, and introduced an attention mechanism to give the neighborhood a learnable attention weight in the process of message dissemination, and to mine the user's preference for different interactive items. Experiments on Gowalla and Amazon-book show that compared with the benchmark algorithm, the HR@50 and NDCG@50 indicators of the two datasets are improved by 12.5% and 8.5%, respectively, with better performance.

Foundation Support

云南省重大科技专项计划资助项目(202002AE090010)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.09.0458
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 4
Section: Algorithm Research & Explore
Pages: 1059-1064
Serial Number: 1001-3695(2023)04-016-1059-06

Publish History

[2023-01-11] Accepted Paper
[2023-04-05] Printed Article

Cite This Article

郑特驹, 刘向阳. 区分交互意图的图卷积协同过滤算法 [J]. 计算机应用研究, 2023, 40 (4): 1059-1064. (Zheng Teju, Liu Xiangyang. Graph convolution collaborative filtering algorithm for discriminating interaction intentions [J]. Application Research of Computers, 2023, 40 (4): 1059-1064. )

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  • 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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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