Learning to Rank Features for Recommendation over Multiple Categories

SIGIR, pp. 305-314, 2016.

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Abstract:

Incorporating phrase-level sentiment analysis on users' textual reviews for recommendation has became a popular meth-od due to its explainable property for latent features and high prediction accuracy. However, the inherent limitations of the existing model make it difficult to (1) effectively distinguish the features that are most intere...More

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