A Comparative Analysis of Human and Automatic Query Variants

Liu, B, Craswell, N, Lu, X, Kurland, O and Culpepper, J 2019, 'A Comparative Analysis of Human and Automatic Query Variants', in Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR 2019), Santa Clara, United States, 2 - 5 October 2019, pp. 47-50.


Document type: Conference Paper
Collection: Conference Papers

Title A Comparative Analysis of Human and Automatic Query Variants
Author(s) Liu, B
Craswell, N
Lu, X
Kurland, O
Culpepper, J
Year 2019
Conference name ICTIR 2019
Conference location Santa Clara, United States
Conference dates 2 - 5 October 2019
Proceedings title Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval (ICTIR 2019)
Publisher ACM
Place of publication New York, United States
Start page 47
End page 50
Total pages 4
Abstract We present an in-depth comparative analysis of the effectiveness distributions of sets of human-created and automatically-created query variations used to represent the same information need. The automatic variations are generated using Bing's click graph. Experiments performed with TREC datasets show that using automatic variations for retrieval can result in similar effectiveness to that of using human variations, although the two types of variations can be appreciably different in several important respects --- e.g., their similarities and corresponding retrieved lists.
Subjects Information Retrieval and Web Search
Data Structures
DOI - identifier 10.1145/3341981.3344223
Copyright notice © 2019 Copyright held by the owner/author(s).
ISBN 9781450368810
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