Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations

Full Text

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 information that could help gauging user satisfaction. User interaction with such syst...More