RecXplainer: Amortized Attribute-based Personalized Explanations for Recommender Systems

Recommender systems influence many of our interactions in the digital world -- impacting how we shop for clothes, sorting what we see when browsing YouTube or TikTok, and determining which restaurants and hotels we are shown when using hospitality platforms. Modern recommender systems are large, opa...

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Bibliographische Detailangaben

Hauptverfasser:	Verma, Sahil, Shah, Chirag, Dickerson, John P, Beniwal, Anurag, Sadagopan, Narayanan, Seshadri, Arjun
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computers and Society Computer Science - Information Retrieval Computer Science - Learning
Online-Zugang:	Volltext bestellen
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