Image-based Recommendation Explainability
2 papers with code • 6 benchmarks • 1 datasets
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Most implemented papers
Towards explainable personalized recommendations by learning from users’ photos
We assume that users take these photos to reinforce or justify their opinions about the items.
Sustainable Transparency in Recommender Systems: Bayesian Ranking of Images for Explainability
Recommender Systems have become crucial in the modern world, commonly guiding users towards relevant content or products, and having a large influence over the decisions of users and citizens.