Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations - Spotify Research
Detecting and understanding implicit measures of user satisfaction are essential for enhancing recommendation quality. When users interact with a recommendation system, they leave behind fine grained traces of interaction signals, which contain valuable infor- mation that could help gauging user satisfaction. User interaction with such systems is often motivated by a specific need or intent,... View Article
https://research.atspotify.com/publications/jointly-leveraging-intent-and-interaction-signals-to-predict-user-satisfaction-with-slate-recommendations/
