Content Profiling from Text Reviews
نویسندگان
چکیده
Most of current recommendation systems use numerical ratings to suggest a content (e.g. movie, restaurant) to a user. Instead, we apply probabilistic topic models to text reviews. We profile contents in a latent space where we compute distances that can be used for cold start recommendation.
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