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

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 c...

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Main Authors: Hailang You, Feng Qian, Xiangwei Huang, Liangliang Hu
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2014-10-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.10.005/
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author Hailang You
Feng Qian
Xiangwei Huang
Liangliang Hu
author_facet Hailang You
Feng Qian
Xiangwei Huang
Liangliang Hu
author_sort Hailang You
collection DOAJ
description 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.
format Article
id doaj-art-5d3b4512cada4f49be59c5f5eedaf181
institution Kabale University
issn 1000-0801
language zho
publishDate 2014-10-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-5d3b4512cada4f49be59c5f5eedaf1812025-01-15T03:18:40ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012014-10-0130273259618830Research and Practice of Building a Personalized Recommendation System for Mobile Game Platform Based on Big Data MiningHailang YouFeng QianXiangwei HuangLiangliang HuThe 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.http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.10.005/big datamobile gamepersonalized recommendation
spellingShingle Hailang You
Feng Qian
Xiangwei Huang
Liangliang Hu
Research and Practice of Building a Personalized Recommendation System for Mobile Game Platform Based on Big Data Mining
Dianxin kexue
big data
mobile game
personalized recommendation
title Research and Practice of Building a Personalized Recommendation System for Mobile Game Platform Based on Big Data Mining
title_full Research and Practice of Building a Personalized Recommendation System for Mobile Game Platform Based on Big Data Mining
title_fullStr Research and Practice of Building a Personalized Recommendation System for Mobile Game Platform Based on Big Data Mining
title_full_unstemmed Research and Practice of Building a Personalized Recommendation System for Mobile Game Platform Based on Big Data Mining
title_short Research and Practice of Building a Personalized Recommendation System for Mobile Game Platform Based on Big Data Mining
title_sort research and practice of building a personalized recommendation system for mobile game platform based on big data mining
topic big data
mobile game
personalized recommendation
url http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.10.005/
work_keys_str_mv AT hailangyou researchandpracticeofbuildingapersonalizedrecommendationsystemformobilegameplatformbasedonbigdatamining
AT fengqian researchandpracticeofbuildingapersonalizedrecommendationsystemformobilegameplatformbasedonbigdatamining
AT xiangweihuang researchandpracticeofbuildingapersonalizedrecommendationsystemformobilegameplatformbasedonbigdatamining
AT lianglianghu researchandpracticeofbuildingapersonalizedrecommendationsystemformobilegameplatformbasedonbigdatamining