Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 3
712-716

Recommendation system of big data based on multi-weight projection of bipartite network

Gao Wei1
He Keqi2
1. School of Information Management, Minnan Institute of Technology, Shishi Fujian 362700, China
2. Institute of Big Data & Computer, Sun Yat-sen University, Guangzhou 510275, China
DOI: 10.19734/j.issn.1001-3695.2018.07.0612

Abstract

Most recommendation systems based on the network structure suffer from lack of diversity, so that the paper proposed a recommendation system of big data based on multi-weight projection of bipartite network. Firstly, it abstracted the basic information of datasets, and applied items-users lists as an input to Levenshtein distance algorithm to compute similarity of each property. Then, it computed the number of common neighbors of the nodes in the bipartite network, the degree of common neighbors of the nodes in the bipartite network and degree of each node in bipartite network, and also computed the triple weights of each side of the bipartite network. Lastly, it adopted the enhanced bipartite projection technique to abstract the potential links of the bipartite network to realize the link prediction based on similarity. It realized the experiments based on both of big dataset and small dataset. The results show that the proposed algorithm outperforms different kinds of recommendation systems in terms of accuracy and coverage of recommendation, at the same time, it outperforms the other recommendation system based on network structure.

Foundation Support

国家自然科学基金资助项目(61471161)
福建省教育厅2015年高等学校创新创业教育改革立项项目(闽教高〔2015〕41号)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0612
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 3
Section: Algorithm Research & Explore
Pages: 712-716
Serial Number: 1001-3695(2020)03-016-0712-05

Publish History

[2020-03-05] Printed Article

Cite This Article

高薇, 何可期. 基于二部图多权重投影的大数据推荐算法 [J]. 计算机应用研究, 2020, 37 (3): 712-716. (Gao Wei, He Keqi. Recommendation system of big data based on multi-weight projection of bipartite network [J]. Application Research of Computers, 2020, 37 (3): 712-716. )

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.

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