Carousel Personalization with Contextual Bandits
What it is
A research repository providing code and data to replicate a study on personalizing swipeable carousels in music streaming. It models the problem as a multi-armed bandit task with multiple plays, cascade updates, and delayed feedback.
The problem it solves
Difficulty in ranking and selecting items for swipeable carousels where only a subset of items are visible at once and user feedback is delayed.
What you could use it for
- Simulating user interactions with swipeable carousels
- Ranking items in a carousel with limited display slots
- Evaluating multi-armed bandit policies for music recommendation
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.