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

Doug Kenney
Doug Kenney
Thomas Lim-Meng
Thomas Lim-Meng
Golli Hashemian
Golli Hashemian

WWW '19: The Web Conference on The World Wide Web Conference WWW 2019, pp. 1256-1267, 2019.

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Abstract:

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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