From Traditional Recommender Systems to GPT-Based Chatbots: A Survey of Recent Developments and Future Directions

Recommender systems are a key technology for many applications, such as e-commerce, streaming media, and social media. Traditional recommender systems rely on collaborative filtering or content-based filtering to make recommendations. However, these approaches have limitations, such as the cold star...

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Bibliographic Details

Published in:	Big Data and Cognitive Computing
Main Authors:	Tamim Mahmud Al-Hasan, Aya Nabil Sayed, Faycal Bensaali, Yassine Himeur, Iraklis Varlamis, George Dimitrakopoulos
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Subjects:	conversational recommender systems context-aware recommenders generative pre-trained transformer (GPT) hybrid recommenders natural language processing (NLP)
Online Access:	https://www.mdpi.com/2504-2289/8/4/36