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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 8
2266-2270

User telco trajectory recovery algorithm based on LDA topic model

Xu Guanggen1
Yang Lu1,2
Yan Jianfeng1,2
Xu Caixu1
Shi Hongbin1
1. School of Computer Science & Technology, Soochow University, Suzhou Jiangsu 215006, China
2. School of Creative Media, City University of Hong Kong, Hong Kong, China
DOI: 10.19734/j.issn.1001-3695.2018.01.0066

Abstract

With the development of mobile communication technology and the popularization of mobile devices, the daily track record data become rich. Massive track data hides valuable knowledge about person and human society. In order to make the knowledge model generated based on the trajectory data more accurate and effective to serve the users, it is particularly important to be able to recover the missing telco trajectories accurately and reliably. Currently, most of the methods mainly focus on modeling continuous trajectories such as GPS trajectories, but lack of researches on the restoration of telco trajectories generated in mobile communication scenarios. Therefore, this paper transformed the problem of telecommunication trajectory recovery into a matrix completion problem, and proposed a recovery algorithm based on the LDA topic model. In the experiment, it made a comprehensive comparison with the traditional matrix completion algorithm and observe the effect of different parameters on trajectory recovery. The experimental results show that compared with the traditional matrix completion algorithm, the LDA topic model can significantly improve the recovery accuracy of missing telco tracks.

Foundation Support

国家自然科学基金资助项目(61373092,61033013,61272449,61202029)
江苏省教育厅重大项目(12KJA520004)
江苏省科技支撑计划重点资助项目(BE2014005)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0066
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Algorithm Research & Explore
Pages: 2266-2270
Serial Number: 1001-3695(2019)08-005-2266-05

Publish History

[2019-08-05] Printed Article

Cite This Article

徐广根, 杨璐, 严建峰, 等. 基于LDA主题模型的用户电信轨迹恢复算法 [J]. 计算机应用研究, 2019, 36 (8): 2266-2270. (Xu Guanggen, Yang Lu, Yan Jianfeng, et al. User telco trajectory recovery algorithm based on LDA topic model [J]. Application Research of Computers, 2019, 36 (8): 2266-2270. )

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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