Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 11
3267-3270,3296

Research on random walk recommendation algorithm based on multi-weight similarity

Zou Yang1
Wu Hecheng1
Zhao Yingding2
Jiang Yunzhi3
1. College of Economics & Management, Nanjing University of Aeronautics & Astronautics, Nanjing 211106, China
2. College of Software, Jiangxi Agricultural University, Nanchang 330045, China
3. School of Mathematics & Systems Science, Guangdong Polytechnic Normal University, Guangzhou 510540, China
DOI: 10.19734/j.issn.1001-3695.2019.08.0275

Abstract

Based on the traditional personalized recommendation algorithm, this work presented a random walk recommendation algorithm using multi-weight similarity. In order to make up the absence of the influence among social networks, popular items and common scoring items in traditional collaborative filtering algorithms, this paper introduced a gravity formula, which could calculate user similarity in social networks. In addition, this work used weight factors to combine the gravity formula method with the traditional collaborative filtering algorithms. Furthermore, it also added the random walk algorithm for recommendation functions. The experimental results show that the proposed algorithm has better recommendation performance by comparing with other kinds of recommendation algorithms.

Foundation Support

国家自然科学青年科学基金资助项目(61702118)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.08.0275
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: Algorithm Research & Explore
Pages: 3267-3270,3296
Serial Number: 1001-3695(2020)11-013-3267-04

Publish History

[2020-11-05] Printed Article

Cite This Article

邹洋, 吴和成, 赵应丁, 等. 基于多权重相似度的随机漫步推荐算法 [J]. 计算机应用研究, 2020, 37 (11): 3267-3270,3296. (Zou Yang, Wu Hecheng, Zhao Yingding, et al. Research on random walk recommendation algorithm based on multi-weight similarity [J]. Application Research of Computers, 2020, 37 (11): 3267-3270,3296. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)