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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 12
3603-3606

Distance metric recommendation algorithm for dynamic social relationships

Ge Junweia
Sui Saa
Fang Yiqiub
a. School of Software Engineering, b. School of Computer Science & Technology, Chongqing University of Posts & Telecommunications, Chongqing 400065, China
DOI: 10.19734/j.issn.1001-3695.2019.09.0544

Abstract

Nowadays, user's friendship relationship and itself are dynamic, therefore, the recommendation algorithm based on static social relationship is difficult to meet the needs of today's rapidly changing world. To solve the problem of low accuracy, this paper proposed a method utilized user's time-series behavior of purchasing item to mine implicit social relationship. Firstly, it integrated implicit social and similarity algorithm. Then, it proposed the improved neighbor score filling method for the sparsity of the neighbor score. Finally, it used the filled neighbor score to modify the model prediction score and generate the final prediction score. The experimental part used MovieLens dataset to evaluate the performance of proposed method and compare it with the existing algorithms. The experimental results show that the proposed algorithm is more stable and effective in predicting the true score of target users than traditional algorithms and improved algorithms.

Foundation Support

重庆市基础与前沿研究计划资助项目(cstc2015jcyjA30001)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.09.0544
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 12
Section: Algorithm Research & Explore
Pages: 3603-3606
Serial Number: 1001-3695(2020)12-017-3603-04

Publish History

[2020-12-05] Printed Article

Cite This Article

葛君伟, 岁飒, 方义秋. 融合动态社交关系的距离度量推荐算法 [J]. 计算机应用研究, 2020, 37 (12): 3603-3606. (Ge Junwei, Sui Sa, Fang Yiqiu. Distance metric recommendation algorithm for dynamic social relationships [J]. Application Research of Computers, 2020, 37 (12): 3603-3606. )

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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