Papers with review understanding

1 papers
Combining Deep Learning and Topic Modeling for Review Understanding in Context-Aware Recommendation (N18-1)

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Challenge: Existing models for user reviews are limited by data sparsity and lack of data.
Approach: They propose to integrate LSTM and Topic Modeling to extract review information for recommender systems by utilizing user reviews.
Outcome: The proposed model outperforms existing models on Amazon review dataset and shows better ability on making topic clustering than traditional topic model based method.

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