Towards a New generation of Personalized Intelligent Conversational Agents

I. Hendrickx; F. Cena; E. Basar; L. Di Caro; F. Kunneman; E. Musi; C. Musto; A. Rapp; J. Van Waterschoot

doi:10.1145/3450614.3461453

Towards a New generation of Personalized Intelligent Conversational Agents

I. Hendrickx, F. Cena, E. Basar, L. Di Caro, F. Kunneman, E. Musi, C. Musto, A. Rapp, J. Van Waterschoot

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

© 2021 Owner/Author.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.

Original language	English
Title of host publication	UMAP 2021
Subtitle of host publication	Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization
Publisher	Association for Computing Machinery, Inc
Pages	373-374
Number of pages	2
ISBN (Electronic)	9781450383677
DOIs	https://doi.org/10.1145/3450614.3461453
Publication status	Published - Jun 2021
Event	29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021 - Virtual, Online, Netherlands Duration: 21 Jun 2020 → 25 Jun 2020

Conference

Conference	29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021
Country/Territory	Netherlands
City	Virtual, Online
Period	21/06/20 → 25/06/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1145/3450614.3461453

Towards a New generation of Personalized Intelligent Conversational AgentsFinal published version, 368 KBLicence: Article 25fa Dutch Copyright Act

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Hendrickx, I., Cena, F., Basar, E., Di Caro, L., Kunneman, F., Musi, E., Musto, C., Rapp, A., & Van Waterschoot, J. (2021). Towards a New generation of Personalized Intelligent Conversational Agents. In UMAP 2021: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (pp. 373-374). Association for Computing Machinery, Inc. https://doi.org/10.1145/3450614.3461453

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title = "Towards a New generation of Personalized Intelligent Conversational Agents",

abstract = "{\textcopyright} 2021 Owner/Author.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.",

author = "I. Hendrickx and F. Cena and E. Basar and {Di Caro}, L. and F. Kunneman and E. Musi and C. Musto and A. Rapp and {Van Waterschoot}, J.",

year = "2021",

month = jun,

doi = "10.1145/3450614.3461453",

language = "English",

pages = "373--374",

booktitle = "UMAP 2021",

publisher = "Association for Computing Machinery, Inc",

note = "29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021 ; Conference date: 21-06-2020 Through 25-06-2020",

}

Hendrickx, I, Cena, F, Basar, E, Di Caro, L, Kunneman, F, Musi, E, Musto, C, Rapp, A & Van Waterschoot, J 2021, Towards a New generation of Personalized Intelligent Conversational Agents. in UMAP 2021: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, pp. 373-374, 29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021, Virtual, Online, Netherlands, 21/06/20. https://doi.org/10.1145/3450614.3461453

Towards a New generation of Personalized Intelligent Conversational Agents. / Hendrickx, I.; Cena, F.; Basar, E. et al.

UMAP 2021: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, 2021. p. 373-374.

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

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AU - Hendrickx, I.

AU - Cena, F.

AU - Basar, E.

AU - Di Caro, L.

AU - Kunneman, F.

AU - Musi, E.

AU - Musto, C.

AU - Rapp, A.

AU - Van Waterschoot, J.

PY - 2021/6

Y1 - 2021/6

N2 - © 2021 Owner/Author.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.

AB - © 2021 Owner/Author.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.

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DO - 10.1145/3450614.3461453

M3 - Conference contribution

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EP - 374

BT - UMAP 2021

PB - Association for Computing Machinery, Inc

T2 - 29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021

Y2 - 21 June 2020 through 25 June 2020

ER -

Towards a New generation of Personalized Intelligent Conversational Agents

Abstract

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UN SDGs

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