• Corpus ID: 54062626

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

@inproceedings{YiboWang2018ASH,
  title={A Sentiment-Enhanced Hybrid Recommender System for Movie Recommendation : A Big Data Analytics Framework},
  author={YiboWang and MingmingWang and A. Longteng Xu},
  year={2018}
}
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 recommendation framework based on a hybrid recommendation model and sentiment analysis on Spark platform is proposed to improve the accuracy and timeliness of mobile movie recommender system. In the… 
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Methods Citations
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