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printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning
Nowadays, modern recommender systems usually leverage textual and visual contents as auxiliary information to predict user preference.
Attentive Graph-based Text-aware Preference Modeling for Top-N Recommendation
Though delivering promising performance for rating prediction, we empirically find that many review-based models cannot perform comparably well on top-N recommendation.
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