2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.HC2024★ 1 cited
Bridging the Transparency Gap: Exploring Multi-Stakeholder Preferences for Targeted Advertisement Explanations
Dina Zilbershtein, Francesco Barile, Daan Odijk +1
Limited transparency in targeted advertising on online content delivery platforms can breed mistrust for both viewers (of the content and ads) and advertisers. This user study (n=8…
cs.IR2023★ 2 cited
VideolandGPT: A User Study on a Conversational Recommender System
Mateo Gutierrez Granada, Dina Zilbershtein, Daan Odijk +1
This paper investigates how large language models (LLMs) can enhance recommender systems, with a specific focus on Conversational Recommender Systems that leverage user preferences…