Recommendation-as-Experience: A framework for context-sensitive adaptation in conversational recommender systems

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Raj Mahmud, Shlomo Berkovsky, Mukesh Prasad, Ahmet Baki Kocaballi

DOI: 10.2139/ssrn.6067033

Cited by: 0

References: 51

Fields of Study & Subjects

Recommender Systems and Techniques AI in Service Interactions Information Retrieval and Search Behavior

References 51