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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 4
1108-1112

Algorithm of sequential recommendation based on Gaussian distribution modeling

Ou Daoyuana
Liang Jingzhanga
Wu Lijuanb
a. College of Electrical Engineering, b. Information & Network Center, Guangxi University, Nanning 530004, China
DOI: 10.19734/j.issn.1001-3695.2022.08.0452

Abstract

Most sequential recommendation systems(SRS) assume that the next item to be predicted is related to the user's previous input. However, in real scenarios, users may click items inconsistent with their own interests and preferences(unreliable instances) by mistake during browsing. This paper proposed a sequential recommendation algorithm based on Gaussian distribution modeling to solve this problem. Firstly, the algorithm extracted the input sequence patterns by reducing the uncertainty of input items through an uncertainty aware graph ensemble network(UAN) with multiple heads of self-attention. Secondly, it modeled the extracted input sequence pattern as a Gaussian distribution, and obtained the dynamic user's preferences and the uncertainty of preferences in the sequence information. Then, it extended the traditional recommended objective function to a sampling loss function and an uncertainty regularizer, and gave each training instance appropriate uncertainty. Finally, it removed the unreliable examples with high loss and low uncertainty to enhance the accuracy of sequence recommendation. It tested the algorithm on three open datasets, Book-Crossing, MovieLens-1M and Steam. The results show that the algorithm has achieved an improvement of about 5.3% compared with the baseline with good effects, and has obtained better sequential recommendation results. The proposed algorithm can improve the recommendation accuracy by effectively reducing the uncertainty of input sequence information.

Foundation Support

广西重点研发计划项目(桂科AB22035033)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.08.0452
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 4
Section: Algorithm Research & Explore
Pages: 1108-1112
Serial Number: 1001-3695(2023)04-024-1108-05

Publish History

[2022-11-14] Accepted Paper
[2023-04-05] Printed Article

Cite This Article

欧道源, 梁京章, 吴丽娟. 基于高斯分布建模的序列推荐算法 [J]. 计算机应用研究, 2023, 40 (4): 1108-1112. (Ou Daoyuan, Liang Jingzhang, Wu Lijuan. Algorithm of sequential recommendation based on Gaussian distribution modeling [J]. Application Research of Computers, 2023, 40 (4): 1108-1112. )

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.

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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