Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 9
2689-2694

Implicit deep collaborative recommendation model based on propositional logic and neural network

Chen Bang1,2
Wu Maonian1,2
Zhu Shaojun1,2
Zheng Bo1,2
Peng Wei1,2
1. School of Information Engineering, Huzhou University, Huzhou Zhejiang 313000, China
2. Zhejiang Province Key Laboratory of Smart Management & Application of Modern Agricultural Resources, Huzhou Zhejiang 313000, China
DOI: 10.19734/j.issn.1001-3695.2022.02.0064

Abstract

With the goal of enhancing the cognitive reasoning ability of the recommendation algorithm model and overcoming the performance limitation of the traditional recommendation algorithm which is highly dependent on the data quality, this paper presented a deep collaborative recommendation model which fusion of propositional logic and neural networks. Firstly, it built an implicit logic representation module to linking complex variables in real-world problems with logical variables, and transformed the recommendation problem into a logical expression. Subsequently, it used neural networks to fit logical symbols to solve logical expressions and complete recommendations. Experiments on three classical datasets with different characteristics, MovieLens, Book-Crossing, and Amazon-E, show that the propesed model exhibits better recommendation performance.

Foundation Support

国家自然科学基金资助项目(61906066)
浙江省自然科学基金面上项目(LY20F02006)
湖州师范学院研究生科研创新基金资助项目(2022KYCX43)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.02.0064
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 9
Section: Algorithm Research & Explore
Pages: 2689-2694
Serial Number: 1001-3695(2022)09-020-2689-06

Publish History

[2022-04-29] Accepted Paper
[2022-09-05] Printed Article

Cite This Article

陈邦, 吴茂念, 朱绍军, 等. 融合命题逻辑与神经网络的隐式深度协同推荐模型 [J]. 计算机应用研究, 2022, 39 (9): 2689-2694. (Chen Bang, Wu Maonian, Zhu Shaojun, et al. Implicit deep collaborative recommendation model based on propositional logic and neural network [J]. Application Research of Computers, 2022, 39 (9): 2689-2694. )

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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