A Sentiment-Enhanced Hybrid Recommender System for Movie Recommendation: A Big Data Analytics Framework

Movie recommendation in mobile environment is critically important for mobile users. It carries out comprehensive aggregation of user’s preferences, reviews, and emotions to help them find suitable movies conveniently. However, it requires both accuracy and timeliness. In this paper, a movie recomme...

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Veröffentlicht in:	Wireless communications and mobile computing 2018-01, Vol.2018 (2018), p.1-9
Hauptverfasser:	Wang, Yibo, Xu, Wei, Wang, Mingming
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Big Data Collaboration Data analysis Data mining Datasets Hybrid systems Methods Motion pictures Preferences Recommender systems Researchers Semantic web Semantics Sentiment analysis Social networks User generated content
Online-Zugang:	Volltext
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