Deep Sequential Models for Task Satisfaction Prediction

Abstract

Detecting and understanding implicit signals of user satisfaction are essential for experimentation aimed at predicting searcher satisfaction. As retrieval systems have advanced, search tasks have steadily emerged as accurate units not only to capture searcher's goals but also in understanding how well a system is able to help the user achieve that goal… (More)
DOI: 10.1145/3132847.3133001

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