Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 2
358-361

Hybrid recommendation algorithm for user interest change and category related degrees

Chen Hailong
Xie Sheng
Xue Yutong
School of Computer Science & Technology, Harbin University of Science & Technology, Harbin 150080, China
DOI: 10.19734/j.issn.1001-3695.2017.08.0722

Abstract

Collaborative filtering algorithm is the most common in the recommendation system of personalized recommendation technology. Based on the problem of the traditional method of similarity measurement, this paper proposed a hybrid recommendation algorithm to combine the change of interest and class correlation degree. The algorithm classified the project according to the user’s rating project information, and found out how much the user likes to pay attention to different categories of projects. At the same time, it introduced the time based interest weight function into the project similarity calculation to further improve the accuracy of calculation. Finally, it integrated the improved similarity calculation method into the user clustering method. After the user clustering, the category of its location would have a great effect on the user’s recommended accuracy. The experimental results show that the algorithm is improved in operation efficiency and accuracy in the MovieLens-1k data set.

Foundation Support

黑龙江省自然科学基金资助项目(A201301)
哈尔滨市科技创新人才研究专项资金资助项目(RC2017QN010029)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.08.0722
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Algorithm Research & Explore
Pages: 358-361
Serial Number: 1001-3695(2019)02-010-0358-04

Publish History

[2019-02-05] Printed Article

Cite This Article

陈海龙, 谢晟, 薛宇彤. 用户兴趣变化和类别关联度的混合推荐算法 [J]. 计算机应用研究, 2019, 36 (2): 358-361. (Chen Hailong, Xie Sheng, Xue Yutong. Hybrid recommendation algorithm for user interest change and category related degrees [J]. Application Research of Computers, 2019, 36 (2): 358-361. )

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)