Search Results for author: Narayanan Sadagopan

Found 3 papers, 0 papers with code

RecXplainer: Amortized Attribute-based Personalized Explanations for Recommender Systems

no code implementations27 Nov 2022 Sahil Verma, Chirag Shah, John P. Dickerson, Anurag Beniwal, Narayanan Sadagopan, Arjun Seshadri

We evaluate RecXplainer on five real-world and large-scale recommendation datasets using five different kinds of recommender systems to demonstrate the efficacy of RecXplainer in capturing users' preferences over item attributes and using them to explain recommendations.

Attribute Recommendation Systems

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