Diverse user preference elicitation with multi-armed bandits
J Parapar, F Radlinski - Proceedings of the 14th ACM international …, 2021 - dl.acm.org
Personalized recommender systems rely on knowledge of user preferences to produce
recommendations. While those preferences are often obtained from past user interactions …
recommendations. While those preferences are often obtained from past user interactions …
Diverse User Preference Elicitation with Multi-Armed Bandits
J Parapar, F Radlinski - research.google
Personalized recommender systems rely on knowledge of user preferences to produce
recommendations. While those preferences are often obtained from past user interactions …
recommendations. While those preferences are often obtained from past user interactions …
Diverse User Preference Elicitation with Multi-Armed Bandits
J Parapar, F Radlinski - research.google
Personalized recommender systems rely on knowledge of user preferences to produce
recommendations. While those preferences are often obtained from past user interactions …
recommendations. While those preferences are often obtained from past user interactions …