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Meta-evaluation of online and offline web search evaluation metrics

Chen, Ye; Zhou, Ke; Liu, Yiqun; Zhang, Min; Ma, Shaoping

Authors

Ye Chen

KE ZHOU Ke.Zhou@nottingham.ac.uk
Assistant Professor

Yiqun Liu

Min Zhang

Shaoping Ma



Abstract

As in most information retrieval (IR) studies, evaluation plays an essential part in Web search research. Both offline and online evaluation metrics are adopted in measuring the performance of search engines. Offline metrics are usually based on relevance judgments of query-document pairs from assessors while online metrics exploit the user behavior data, such as clicks, collected from search engines to compare search algorithms. Although both types of IR evaluation metrics have achieved success, to what extent can they predict user satisfaction still remains under-investigated. To shed light on this research question, we meta-evaluate a series of existing online and offline metrics to study how well they infer actual search user satisfaction in different search scenarios. We find that both types of evaluation metrics significantly correlate with user satisfaction while they reflect satisfaction from different perspectives for different search tasks. Offline metrics better align with user satisfaction in homogeneous search (i.e. ten blue links) whereas online metrics outperform when vertical results are federated. Finally, we also propose to incorporate mouse hover information into existing online evaluation metrics, and empirically show that they better align with search user satisfaction than click-based online metrics.

Citation

Chen, Y., Zhou, K., Liu, Y., Zhang, M., & Ma, S. (2017). Meta-evaluation of online and offline web search evaluation metrics. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17. https://doi.org/10.1145/3077136.3080804

Conference Name SIGIR '17: 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
End Date Aug 11, 2017
Acceptance Date May 16, 2017
Publication Date Aug 7, 2017
Deposit Date Aug 22, 2017
Publicly Available Date Aug 22, 2017
Peer Reviewed Peer Reviewed
Book Title Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17
DOI https://doi.org/10.1145/3077136.3080804
Public URL http://eprints.nottingham.ac.uk/id/eprint/45048
Publisher URL https://doi.org/10.1145/3077136.3080804
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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