Authors
Fedelucio Narducci, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro
Publication date
2020/4
Journal
User Modeling and User-Adapted Interaction
Volume
30
Pages
251-284
Publisher
Springer Netherlands
Description
Conversational Recommender Systems (CoRSs) implement a paradigm that allows users to interact in natural language with the system for defining their preferences and discovering items that best fit their needs. CoRSs can be straightforwardly implemented as chatbots that, nowadays, are becoming more and more popular for several applications, such as customer care, health care, and medical diagnoses. Chatbots implement an interaction based on natural language, buttons, or both. The implementation of a chatbot is a challenging task since it requires knowledge about natural language processing and human–computer interaction. A CoRS might be particularly useful in the music domain since music is generally enjoyed in contexts when a standard interface cannot be exploited (driving, doing homeworks, running). However, there is no work in the literature that analytically compares different …
Total citations
202020212022202320247101468
Scholar articles
F Narducci, P Basile, M de Gemmis, P Lops… - User Modeling and User-Adapted Interaction, 2020