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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Detalles Bibliográficos

Principais autores:	Tamim Mahmud Al-Hasan, Aya Nabil Sayed, Faycal Bensaali, Yassine Himeur, Iraklis Varlamis, George Dimitrakopoulos
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2024-03-01
Series:	Big Data and Cognitive Computing
Assuntos:	conversational recommender systems context-aware recommenders generative pre-trained transformer (GPT) hybrid recommenders natural language processing (NLP)
Acceso en liña:	https://www.mdpi.com/2504-2289/8/4/36
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