Exploring Users' Internal Influence from Reviews for Social Recommendation

In recent years, we have witnessed a flourish of social review websites. Internet users can easily share their experiences on some products and services with their friends. Therefore, measuring interpersonal influence becomes a popular method for recommender systems. However, traditional works are a...

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Veröffentlicht in:	IEEE transactions on multimedia 2019-03, Vol.21 (3), p.771-781
Hauptverfasser:	Zhao, Guoshuai, Lei, Xiaojiang, Qian, Xueming, Mei, Tao
Format:	Artikel
Sprache:	eng
Schlagworte:	Collaboration Data mining Feature extraction interpersonal influence Matrix decomposition recom-mender system Recommender systems Reliability Reliability aspects review sentiment social network Social network services Social networks Websites
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