| 基于评论主题的个性化评分预测模型 |
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| 引用本文： | 马春平,陈文亮.基于评论主题的个性化评分预测模型[J].北京大学学报(自然科学版),2016,52(1):165-170. |
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| 作者姓名： | 马春平 陈文亮 |
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| 作者单位： | 1. 苏州大学计算机科学与技术学院, 苏州 215006
2. 软件新技术与产业化协同创新中心, 苏州 215006 |
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| 摘 要： | 针对现有基于评论分析的推荐算法没有充分考虑个性化的问题, 通过对评论进行主题分析, 挖掘用户的喜好, 分别建立基于用户和物品的个性化评分预测模型。在真实数据集上进行实验验证, 结果表明该模型有效地提高了推荐系统的评分预测性能。
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| 关 键 词： | 个性化推荐 推荐系统 评分预测 评论信息 |
| 收稿时间： | 2015-06-07 |
Personalized Model for Rating Prediction Based on Review Analysis |
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| MA Chunping,CHEN Wenliang.Personalized Model for Rating Prediction Based on Review Analysis[J].Acta Scientiarum Naturalium Universitatis Pekinensis,2016,52(1):165-170. |
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| Authors: | MA Chunping CHEN Wenliang |
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| Institution: | 1. School of Computer Science and Technology, Soochow University, Suzhou 215006
2. Collaborative Innovation Center of Novel Software Technology and Industrialization, Suzhou 215006 |
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| Abstract: | Existing recommender systems do not take full advantage of personalization. To address this problem, a novel approach is proposed to mine the opinions and preference of users to build a personalized model for each user or item. Experimental results generated from a real data set show that the proposed approach can improve the accuracy of rating prediction. |
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| Keywords: | personalized recommendation recommender system rating prediction review comment |
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