Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions-Reference-Cited by-同舟云学术

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Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions

Published:2020 Issue: Volume: Page:110-117
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Biega Asia J.,Schmidt Jana,Roy Rishiraj Saha

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-45442-5_14

Reference16 articles.

1. Adar, E.: User 4xxxxx9: anonymizing query logs. In: Proceedings of Query Log Analysis Workshop, International Conference on World Wide Web (2007)

2. Bailey, P., Craswell, N., Soboroff, I., Thomas, P., de Vries, A.P., Yilmaz, E.: Relevance assessment: are judges exchangeable and does it matter. In: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 667–674. ACM (2008)

3. Bailey, P., Moffat, A., Scholer, F., Thomas, P.: UQV100: a test collection with query variability. In: Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 725–728. ACM (2016)

4. Barr, C., Jones, R., Regelson, M.: The linguistic structure of English web-search queries. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 1021–1030. Association for Computational Linguistics (2008)

5. Biega, A.J., Saha Roy, R., Weikum, G.: Privacy through solidarity: a user-utility-preserving framework to counter profiling. In: Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 675–684. ACM (2017)

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1. Googling for Software Development: What Developers Search For and What They Find;2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR);2021-05

2. Different Keystrokes for Different Folks;Proceedings of the 2021 Conference on Human Information Interaction and Retrieval;2021-03-14

3. Multi-Group ObScure Logging (MG-OSLo) A Privacy-Preserving Protocol for Private Web Search;IEEE Access;2021

4. CC-News-En;Proceedings of the 29th ACM International Conference on Information & Knowledge Management;2020-10-19

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