Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS)
Qiming Diao, Minghui Qiu, Chao-Yuan Wu, Alexander Johannes Smola, Jing Jiang, Chong Wang · 2014
Recommendation and review sites offer a wealth of information beyond ratings. For instance, on IMDb users leave reviews, commenting on different aspects of a movie (e.g. actors, plot, visual effects), and expressing their sentiments (positive or negative) on these aspects in their reviews. This suggests that uncovering aspects and sentiments will allow us to gain a better understanding of users, movies, and the process involved in generating ratings.