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Feature Modulation to Improve Struggle Detection in Web Search: A Psychological Approach
[article]
2021
arXiv
pre-print
Searcher struggle is important feedback to Web search engines. Existing Web search struggle detection methods rely on effort-based features to identify the struggling moments. Their underlying assumption is that the more effort a user spends, the more struggling the user may be. However, recent studies have suggested this simple association might be incorrect. This paper proposes a new feature modulation method for struggle detection and refers to the reversal theory in psychology. The reversal
arXiv:2112.04711v1
fatcat:q7cwfwq6k5gepk26zwrybjuir4