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A task level metric for measuring web search satisfaction and its application on improving relevance estimation
2011
Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM '11
Understanding the behavior of satisfied and unsatisfied Web search users is very important for improving users search experience. Collecting labeled data that characterizes search behavior is a very challenging problem. Most of the previous work used a limited amount of data collected in lab studies or annotated by judges lacking information about the actual intent. In this work, we performed a large scale user study where we collected explicit judgments of user satisfaction with the entire
doi:10.1145/2063576.2063599
dblp:conf/cikm/HassanSH11
fatcat:pwvqpinlkjhuzhb3nxb7zosawy