Understanding user intent modeling for conversational recommender systems: a systematic literature review
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Understanding user intent modeling for conversational recommender systems: a systematic literature review ; day:6 ; month:6 ; year:2024 ; pages:1-64
User modeling and user adapted interaction ; (6.6.2024), 1-64
- Creator
-
Farshidi, Siamak
Rezaee, Kiyan
Mazaheri, Sara
Rahimi, Amir Hossein
Dadashzadeh, Ali
Ziabakhsh, Morteza
Eskandari, Sadegh
Jansen, Slinger
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s11257-024-09398-x
- URN
-
urn:nbn:de:101:1-2408132123046.697473433893
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:44 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Farshidi, Siamak
- Rezaee, Kiyan
- Mazaheri, Sara
- Rahimi, Amir Hossein
- Dadashzadeh, Ali
- Ziabakhsh, Morteza
- Eskandari, Sadegh
- Jansen, Slinger
- SpringerLink (Online service)
Other Objects (12)
A Layered Conversational Recommender System
An intent recognition pipeline for conversational AI
Design of a conversational recommender system in education
Meta-Intents: Interaction Preferences in Conversational Recommender Systems
Evaluating conversational recommender systems : A landscape of research
Multi-source information contrastive learning collaborative augmented conversational recommender systems
Linguistics-based dialogue simulations to evaluate argumentative conversational recommender systems
User-centered enhancement of recommender systems
Spoken dialogue technology : toward the conversational user interface
Improving the User Experience in Mobile Recommender Systems
Neural network user intent prediction for robot teleoperation
Predicting user intent during teleoperation using neural networks
A Layered Conversational Recommender System
An intent recognition pipeline for conversational AI
Design of a conversational recommender system in education
Meta-Intents: Interaction Preferences in Conversational Recommender Systems
Evaluating conversational recommender systems : A landscape of research
Multi-source information contrastive learning collaborative augmented conversational recommender systems
Linguistics-based dialogue simulations to evaluate argumentative conversational recommender systems
User-centered enhancement of recommender systems
Spoken dialogue technology : toward the conversational user interface
Improving the User Experience in Mobile Recommender Systems
Neural network user intent prediction for robot teleoperation
Predicting user intent during teleoperation using neural networks
A Layered Conversational Recommender System
An intent recognition pipeline for conversational AI
Design of a conversational recommender system in education
Meta-Intents: Interaction Preferences in Conversational Recommender Systems
Evaluating conversational recommender systems : A landscape of research
Multi-source information contrastive learning collaborative augmented conversational recommender systems
Linguistics-based dialogue simulations to evaluate argumentative conversational recommender systems
User-centered enhancement of recommender systems
Spoken dialogue technology : toward the conversational user interface
Improving the User Experience in Mobile Recommender Systems
Neural network user intent prediction for robot teleoperation