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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 9
2662-2666,2672

Cross domain recommendation algorithm based on shared ratings transfer

Chen Yan
Ma Jinyuan
Li Taoying
School of Maritime Economics & Management, Dalian Maritime University, Dalian Liaoning 210211, China
DOI: 10.19734/j.issn.1001-3695.2020.11.0410

Abstract

Data sparsity and user cold start are always the problems to be solved in the recommendation system. This paper proposed a cross domain recommendation algorithm SRTCD. Considering the similarity of latent factors of user groups / items in different domains, the algorithm decomposed the rating matrix of each domain into probability matrix to obtain the latent factors of users and items. Then, it used K-means algorithm based on simulated annealing and genetic algorithm to cluster users and items respectively, and used the inner product of user category and items category as shared rating. Then, it obtained the recommendation results by using the shared rating of each domain dataset and the specific rating of the target domain dataset. Finally, it verified the proposed method by public data sets, and the results show that the performance of SRTCD is significantly better than that of common recommendation algorithms.

Foundation Support

国家自然科学基金资助项目(51939001,61976033)
辽宁省兴辽英才计划青年拔尖人才项目(XLYC1907084)
辽宁省自然科学基金资助项目(20180550307)
中央高校基本科研业务费项目(3132019353,3132020233)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.11.0410
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 9
Section: Algorithm Research & Explore
Pages: 2662-2666,2672
Serial Number: 1001-3695(2021)09-018-2662-05

Publish History

[2021-09-05] Printed Article

Cite This Article

陈燕, 马进元, 李桃迎. 基于共享评级迁移的跨域推荐算法 [J]. 计算机应用研究, 2021, 38 (9): 2662-2666,2672. (Chen Yan, Ma Jinyuan, Li Taoying. Cross domain recommendation algorithm based on shared ratings transfer [J]. Application Research of Computers, 2021, 38 (9): 2662-2666,2672. )

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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