Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 8
2378-2382

Research on solving new item cold-start problem by combining image similarity

Zhou Qiang
Hu Yan
College of Computer Science & Technology, Wuhan University of Technology, Wuhan 430070, China
DOI: 10.19734/j.issn.1001-3695.2018.01.0117

Abstract

Aiming at the problem of cold start caused by the addition of new item in the recommendation system, this paper proposed a collaborative filtering recommendation model USPTMF-CFIA based on matrix factorization model, which combined the similarity of item image and category attributes. First, it used the matrix factorization model based on users' preference and time weight to predict and fill the missing item. Then, it used the VGG16 neural network to extract the features of the item images and combined category attributes to calculate the similarity between the new item and the historical items, then got the item's neighbors. Finally, it predicted the new item based on the similarity between the new item and the neighbors, and the first N items with high score were recommended to the correspond user. The experiment on the dataset provided by GroupLens proved that the proposed accuracy rate of this model. The recommended accuracy of this model is 0.006~0.015 higher than the MAP-BPR model, 0.02~0.028 higher than the traditional collaborative filtering model and 0.001~0.003 higher than that of the USPTMF-CFA model without image similarity 0.001~0.002 higher than ACMF model.

Foundation Support

湖北省自然科学基金重点类资助项目(2017CFA012)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0117
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Algorithm Research & Explore
Pages: 2378-2382
Serial Number: 1001-3695(2019)08-028-2378-05

Publish History

[2019-08-05] Printed Article

Cite This Article

周强, 胡燕. 融合图片相似度缓解新项目冷启动问题的研究 [J]. 计算机应用研究, 2019, 36 (8): 2378-2382. (Zhou Qiang, Hu Yan. Research on solving new item cold-start problem by combining image similarity [J]. Application Research of Computers, 2019, 36 (8): 2378-2382. )

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)