Exploring the Potential of Generative AI for Augmenting Choice-Based Preference Elicitation in Recommender Systems
In: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP Adjunct '24) / The Association for Computing Machinery (ACM) (Hrsg.). - 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP Adjunct '24): Cagliari, Italy; July 1 - 4, 2024 - New York: ACM, 2024, S. 114 - 119
2024Buchaufsatz/Kapitel in TagungsbandClosed access
InformatikFakultät für Wirtschaftswissenschaften » Fachgebiet Informatik
Titel in Englisch:
Exploring the Potential of Generative AI for Augmenting Choice-Based Preference Elicitation in Recommender Systems
Autor*in:
Loepp, BenediktUDE
- GND
- 1232038113
- LSF ID
- 54109
- ORCID
-
0000-0001-9059-5324
- Sonstiges
- der Hochschule zugeordnete*r Autor*in
- GND
- 1015876811
- LSF ID
- 3881
- ORCID
-
0000-0001-9603-5272
- Sonstiges
- der Hochschule zugeordnete*r Autor*in
Open Access?:
Closed access
Scopus ID
Sprache des Textes:
Englisch
Schlagwort, Thema:
Large language models ; Preference elicitation ; Recommender systems ; User experience
Ressourcentyp:
Text