Experiments on the five real-world datasets show that DAML achieves significantly better rating prediction accuracy compared to the state-of-the-art methods.

Jun 24, 2019 · Therefore, we propose a novel dual attention mutual learning between ratings and reviews for item recommendation, named DAML. Specifically ...

Contribute to SZU-AdvTech-2023/253-DAML-Dual-Attention-Mutual-Learning-between-Ratings-and-Reviews-for-Item-Recommendation development by creating an ...

Duration: 2:28
Posted: Jul 2, 2019

In this repository, we reimplement some important review-based recommendation models, and provide an extensible framework NRRec with Pytorch.

We propose a joint deep model for learning higher-order non-linear latent feature interactions from reviews and metadata information.

Abstract In many current recommender systems, users' reviews are used to boost the recommendation perfor- mance. As historical ratings and reviews are the ...

Aug 18, 2023 · Dual Attention Mutual Learning (DAML): This model utilizes local and mutual attention of CNN to jointly learn user and item features from ...

Aug 18, 2023 · In recommender systems, user reviews on items contain rich semantic information, which can express users' preferences and item features.

by Zhang et al., IJCAI 2019. DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation by Liu et al., KDD 2019. Explainable ...