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What's the name of the new Matrix movie with Keanu Reeves? 

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This paper proposes a new method to predict the sentiment of the movie on the rotten tomatoes by combining the sentiment score from SentiWordnet and expert original score.
The new model can learn much sparser matrix factorization.
The main novelty of our approach is that we convert the movie scene segmentation into a movie-script alignment problem and propose a HMM alignment algorithm to map the script scene structure to the movie content.
Within the Moviepilot mood track of the context-aware movie recommendation challenge, we propose a novel movie similarity measure that is specific to the movie property demanded by the challenge, i. e., movie mood.
Open accessProceedings ArticleDOI
01 Apr 2012
390 Citations
Experimental evidence using large-scale real-world data from both the Foursquare location-based social network and the Movie Lens movie recommendation system reveals that LARS is efficient, scalable, and capable of producing recommendations twice as accurate compared to existing recommendation approaches.
The experimental evaluation indicates that our proposed approach outran the existing movie scene segmentation approaches.