An empirical evaluation of active learning strategies for profile elicitation in a conversational recommender system

Conversational Recommender Systems have received widespread attention in both research and practice. They assist people in finding relevant and interesting items through a multi-turn conversation. The use of natural language interaction also allows users to express their preferences with more flexib...

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Veröffentlicht in:	Journal of intelligent information systems 2022-04, Vol.58 (2), p.337-362
Hauptverfasser:	Iovine, Andrea, Lops, Pasquale, Narducci, Fedelucio, de Gemmis, Marco, Semeraro, Giovanni
Format:	Artikel
Sprache:	eng
Schlagworte:	Active learning Artificial Intelligence Computer Science Data Structures and Information Theory Information Storage and Retrieval IT in Business Learning Natural Language Processing (NLP) Recommender systems
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