Axiomatic analysis and optimization of information retrieval models

Hui Fang; Cheng Xiang Zhai

doi:10.1145/2600428.2611178

Axiomatic analysis and optimization of information retrieval models

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Axiomatic approach provides a systematic way to think about heuristics, identify the weakness of existing methods, and optimize the existing methods accordingly. This tutorial aims to promote axiomatic thinking that can benefit not only the study of IR models but also the methods for many IR applications.

Original language	English (US)
Title of host publication	SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval
Publisher	Association for Computing Machinery
Pages	1288
Number of pages	1
ISBN (Print)	9781450322591
DOIs	https://doi.org/10.1145/2600428.2611178
State	Published - 2014
Event	37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014 - Gold Coast, QLD, Australia Duration: Jul 6 2014 → Jul 11 2014

Publication series

Name	SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval

Other

Other	37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014
Country	Australia
City	Gold Coast, QLD
Period	7/6/14 → 7/11/14

Keywords

Axiomatic analysis
Information retrieval models
Optimization
Retrieval constraints

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Information Systems

Access to Document

10.1145/2600428.2611178

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Cite this

Fang, H., & Zhai, C. X. (2014). Axiomatic analysis and optimization of information retrieval models. In SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1288). (SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval). Association for Computing Machinery. https://doi.org/10.1145/2600428.2611178

Axiomatic analysis and optimization of information retrieval models. / Fang, Hui; Zhai, Cheng Xiang.

SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, 2014. p. 1288 (SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fang, H & Zhai, CX 2014, Axiomatic analysis and optimization of information retrieval models. in SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, Association for Computing Machinery, pp. 1288, 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2014, Gold Coast, QLD, Australia, 7/6/14. https://doi.org/10.1145/2600428.2611178

Fang H, Zhai CX. Axiomatic analysis and optimization of information retrieval models. In SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery. 2014. p. 1288. (SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval). https://doi.org/10.1145/2600428.2611178

Fang, Hui ; Zhai, Cheng Xiang. / Axiomatic analysis and optimization of information retrieval models. SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, 2014. pp. 1288 (SIGIR 2014 - Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval).

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