Game Recommendation by Personality Traits Using Text Mining on Game Reviews
碩士 === 國立高雄大學 === 資訊管理學系碩士班 === 105 === Nowadays, common recommendation systems generally recommend resources according to users’ preference. Some approaches, however, adopted different aspects such as personality traits for recommendation. The general recommendation systems base on user's pref...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/82380230389281561410 |
| Summary: | 碩士 === 國立高雄大學 === 資訊管理學系碩士班 === 105 === Nowadays, common recommendation systems generally recommend resources according to users’ preference. Some approaches, however, adopted different aspects such as personality traits for recommendation. The general recommendation systems base on user's preference are changed to be the recommendation systems base on user's personality traits by some early studies. In this work, we proposed a novel method for resource recommendation based on personality traits using text mining technique on social comments. This study also assessed for personality traits mining methods, and recommended techniques mentioned. The results of this study show that it has good results. We hope this study can improve current personality-based recommendation systems.
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