Matching Reviews to Objects using a Language Model

摘要: We develop a general method to match unstructured text reviews structured list of objects. For this, we propose language model for generating that incorporates description objects and generic review model. This mixture gives us principled find, given review, the object most likely be topic review. Extensive experiments analysis on from Yelp show our model-based vastly outperforms traditional tf-idf-based methods.