Jointly Leveraging Intent and Interaction Signals to Predict User Satisfaction with Slate Recommendations
WWW '19: The Web Conference on The World Wide Web Conference WWW 2019, pp. 1256-1267, 2019.
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
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