The Personalized Intelligent Conversational Agents workshop focuses on both long-term engaging spoken dialogue systems and text-based chatbots, as well as conversational recommender systems. The goal of the workshop is to stimulate discussion around problems, challenges, possible solutions and research directions regarding the exploitation of natural language processing and machine learning techniques to learn user features and to use them to personalize the dialogue in the next generation of intelligent conversational agents.

Towards a New generation of Personalized Intelligent Conversational Agents

Cena F.
;
Di Caro L.
;
Musto C.;Rapp A.
;
2021-01-01

Abstract

The Personalized Intelligent Conversational Agents workshop focuses on both long-term engaging spoken dialogue systems and text-based chatbots, as well as conversational recommender systems. The goal of the workshop is to stimulate discussion around problems, challenges, possible solutions and research directions regarding the exploitation of natural language processing and machine learning techniques to learn user features and to use them to personalize the dialogue in the next generation of intelligent conversational agents.
2021
29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021
UTRECH- olanda
2020
UMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization
Association for Computing Machinery, Inc
373
374
9781450383677
conversational agents; evaluation; personalization; privacy; recommender systems
Hendrickx I.; Cena F.; Basar E.; Di Caro L.; Kunneman F.; Musi E.; Musto C.; Rapp A.; Van Waterschoot J.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1857608
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