Deep Conversational Recommender Systems: Challenges and Opportunities.

Autor: Tran, Dai Hoang, Sheng, Quan Z., Zhang, Wei Emma, Hamad, Salma Abdalla, Khoa, Nguyen Lu Dang, Tran, Nguyen H.
Předmět:
Zdroj: Computer (00189162); Apr2022, Vol. 55 Issue 4, p30-39, 10p
Abstrakt: Unlike traditional recommender systems, the conversational recommender system (CRS) models a user's preferences through interactive dialogue conversations. Recently, deep learning approaches have been applied to CRSs, producing fruitful results. We discuss the development of deep CRSs and future research directions. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index