Deep Sequential Models for Task Satisfaction Prediction

CIKM, pp. 737-746, 2017.

Cited by: 14|Bibtex|Views43
EI
Other Links: dblp.uni-trier.de|academic.microsoft.com|dl.acm.org

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 ac...More

Code:

Data:

Your rating :
0

 

Tags
Comments