Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews

    WWW '18: The Web Conference 2018 Lyon France April, 2018, pp. 639-648, 2018.

    Cited by: 57|Bibtex|Views7|Links
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    Abstract:

    Although latent factor models (e.g., matrix factorization) achieve good accuracy in rating prediction, they suffer from several problems including cold-start, non-transparency, and suboptimal recommendation for local users or items. In this paper, we employ textual review information with ratings to tackle these limitations. Firstly, we a...More

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