Research and Practice of Building a Personalized Recommendation System for Mobile Game Platform Based on Big Data Mining

Hailang You; Feng Qian; Xiangwei Huang; Liangliang Hu

doi:10.3969/j.issn.1000-0801.2014.10.005

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Research and Practice of Building a Personalized Recommendation System for Mobile Game Platform Based on Big Data Mining

Topic: big data technology and Application | 更新时间：2024-06-05

- Research and Practice of Building a Personalized Recommendation System for Mobile Game Platform Based on Big Data Mining
- Telecommunications Science Vol. 30, Issue 10, Pages: 27-32(2014)
- 作者机构：
  
  1. 炫彩互动网络科技有限公司南京 210029
  2. 中国电信股份有限公司广东研究院广州 510630
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1000-0801.2014.10.005
  CLC：
- Published Online：2014-10，
  
  Published：20 October 2014
- 稿件说明：
移动端阅览
Hailang You, Feng Qian, Xiangwei Huang, et al. Research and Practice of Building a Personalized Recommendation System for Mobile Game Platform Based on Big Data Mining[J]. Telecommunications science, 2014, 30(10): 27-32.
DOI：

Hailang You, Feng Qian, Xiangwei Huang, et al. Research and Practice of Building a Personalized Recommendation System for Mobile Game Platform Based on Big Data Mining[J]. Telecommunications science, 2014, 30(10): 27-32. DOI： 10.3969/j.issn.1000-0801.2014.10.005.

摘要

给出了一种基于大数据挖掘的手机游戏平台个性化推荐机制，通过对游戏用户行为数据的获取、存储、清洗、挖掘，由改进的余弦相似度算法计算出游戏的相似度，向用户推荐其喜欢的游戏。该机制可以有效提升游戏推荐的准确性，增强用户黏性，为游戏平台创造更多价值。

Abstract

The personalized recommendation system was presented

which was based on data mining technology in mobile game platform

including the game data acquisition

data storage

data cleaning

data mining

and the cosine similarity algorithm was used to improve the similarity of the games. The mechanism can effectively improve the accuracy of game recommendation

enhance user stickiness

and create more value for the game platform.

关键词

Keywords

references

Han J W , Kamber M , Pei J . 数据挖掘：概念与技术 . 范明，孟小峰译．北京：机械工业出版社， 2013

李慧，胡云，施珺．社会网络环境下的协同推荐方法．计算机应用， 2013 ( 11 )

邓晓懿，金淳，韩庆平等．基于情境聚类和用户评级的协同过滤推荐模型．统工程理论与实践， 2013 ( 11 ): 2945 ～ 2953

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