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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 8
2289-2293

Improved method for personalized query citation recommendation

Li Fei1
Zhang Hongming1
Cai Xiaoyan2
Liu Bin1
Guo Lantian2
1. College of Information Engineering, Northwest A & F University, Yangling Shaanxi 712100, China
2. School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
DOI: 10.19734/j.issn.1001-3695.2018.02.0086

Abstract

To make full use of the context information of the papers, combined with the graph model and the construction method of query vector, this paper proposed a fusion query information personalized citation recommendation method. It built a three layer graph model through three kinds of paper information, and set different parameters on different layers to adjust the jump probability of nodes to different levels; the query vector constructed using word2vec technology could effectively use the text context information, so that similar papers were closer to the distance, and then predicted and recommended the candidate papers. Computational analyzes performed on the association of computational linguistics anthology network dataset showed an average increase of about 7% over recall@N and an average increase of about 11% over NDCG@N for the same query compared to the original method. Experimental results show that the proposed method can effectively improve the quality of citation recommendation and get better recommendation results.

Foundation Support

国家自然科学基金资助项目(41771315,41301283,41371274)
国家重点研发计划资助项目(2017YFC0403203)
欧盟地平线2020研究与创新计划资助项目(GA:635750)
陕西省自然科学基金面上项目(2017JM6059)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.02.0086
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Algorithm Research & Explore
Pages: 2289-2293
Serial Number: 1001-3695(2019)08-010-2289-05

Publish History

[2019-08-05] Printed Article

Cite This Article

李飞, 张宏鸣, 蔡晓妍, 等. 一种改进的个性化查询引文推荐方法 [J]. 计算机应用研究, 2019, 36 (8): 2289-2293. (Li Fei, Zhang Hongming, Cai Xiaoyan, et al. Improved method for personalized query citation recommendation [J]. Application Research of Computers, 2019, 36 (8): 2289-2293. )

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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