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 |
| Number of pages | 1 |
| ISBN (Print) | 9781450322591 |
| DOIs | |
| State | Published - Jan 1 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
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Cite this
Fang, H., & Zhai, C. (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. https://doi.org/10.1145/2600428.2611178