In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
See More
Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 9
2701-2704,2709

Bidirectional personalized recommendation algorithm based on customer preference

Li Yang
Dai Yongqiang
School of Information Science & Technology, Gansu Agriculture University, Lanzhou 730070, China
DOI: 10.19734/j.issn.1001-3695.2021.01.0009

Abstract

In order to solve the problem of flexibility brought by the existing recommendation algorithm which only considers the recommendation of the same category of products, and improves the sales volume of products and the shopping experience of users, this paper proposed an accurate marketing recommendation algorithm based on customer preference analysis, which could not only accurately recommend products for customers, but also provide potential customers to businesses. Specifically, at first, based on the purchase information of customers and their neighbors in the product purchase network, it expanded the customers' purchase information. Then, it designed a method for calculating the customers' product preference weight, analyzed the customers' purchase preferences, and provided customers with personalized recommendations for products under the guidance of customers portraits. Finally, based on the sample customers provided by businesses, it mined the community formed by customers who were similar to the sample customer to provide accurate customer maintenance and potential customer recommendation for businesses. Experiments on real datasets show the effectiveness of the proposed algorithm. This algorithm pays attention to both customers and businesses, and realizes two directions of product and customer recommendation. This algorithm provides useful help for the research of personalized recommendation.

Foundation Support

甘肃省高等学校创新能力提升项目(2019A-056)
甘肃农业大学青年导师基金资助项目(GAU-QDFC-2019-02)
甘肃农业大学学科建设专项基金资助项目(GAU-XKJS-2018-253)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.01.0009
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 9
Section: Algorithm Research & Explore
Pages: 2701-2704,2709
Serial Number: 1001-3695(2021)09-025-2701-04

Publish History

[2021-09-05] Printed Article

Cite This Article

李杨, 代永强. 基于客户喜好的双向个性化推荐算法 [J]. 计算机应用研究, 2021, 38 (9): 2701-2704,2709. (Li Yang, Dai Yongqiang. Bidirectional personalized recommendation algorithm based on customer preference [J]. Application Research of Computers, 2021, 38 (9): 2701-2704,2709. )

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)