电信科学 ›› 2014, Vol. 30 ›› Issue (10): 27-32.doi: 10.3969/j.issn.1000-0801.2014.10.005

• 专题:大数据技术与应用 • 上一篇    下一篇

基于大数据挖掘构建游戏平台个性化推荐系统的研究与实践

尤海浪1,钱锋2,黄祥为1,胡亮亮1   

  1. 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
  • 出版日期:2014-10-15 发布日期:2017-06-29

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

Hailang You1,Feng Qian2,Xiangwei Huang1,Liangliang Hu1   

  1. 1 Dazzle Interactive Network Technologies, Nanjing 210029, China
    2 Guangdong Research Institute of China Telecom Co., Ltd., Guangzhou 510630, China
  • Online:2014-10-15 Published:2017-06-29

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。

关键词: 大数据, 手机游戏, 个性化推荐

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.

Key words: big data, mobile game, personalized recommendation

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