Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 11
3312-3315,3325

Behavior extraction and analysis methods for decision-oriented hosting applications

Gao Ming1,2
Li Shuqin1,2
Meng Kun1,2
Ding Meng1,2
Zheng Lanzhou2,3
1. School of Computer Science, Beijing Information Science & Technology University, Beijing 100101, China
2. Sensing & Computational Intelligence Joint Laboratory, Beijing 100101, China
3. MicroAI Technology Co. , Ltd. , Beijing 100101, China
DOI: 10.19734/j.issn.1001-3695.2019.07.0267

Abstract

In order to optimize the game experience, the game platform often provides decision-making AI hosting functions, which causes the platform to face low data quality when presenting images to users. The log mixes the AI and the decision-making behavior made by the player, and sometimes there is a lack of behavior. This paper proposed a behavior extraction and analysis method for decision-oriented hosting applications. Through the behavior feature extraction method based on heuristic rules, this method extracted the player's autonomic behavior from the log. Finally, it used a variety of portrait methods to analyze and compare the results on the original data set and the reduced data set respectively. It is concluded that the method can greatly reduce the amount of data while retaining the player's behavior characteristics.

Foundation Support

北京信息科技大学2020年度促进内涵发展科研水平提高重点研究培育项目(5212010937)
北京信息科技大学2019年度科技计划一般项目(KM201911232002)
促进高校内涵发展常规项目(5112011019)
促进高校内涵发展—研究生科技创新项目(5121911044)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.07.0267
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: Algorithm Research & Explore
Pages: 3312-3315,3325
Serial Number: 1001-3695(2020)11-022-3312-04

Publish History

[2020-11-05] Printed Article

Cite This Article

高铭, 李淑琴, 孟坤, 等. 面向决策可托管应用的行为提取与分析方法 [J]. 计算机应用研究, 2020, 37 (11): 3312-3315,3325. (Gao Ming, Li Shuqin, Meng Kun, et al. Behavior extraction and analysis methods for decision-oriented hosting applications [J]. Application Research of Computers, 2020, 37 (11): 3312-3315,3325. )

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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