Axiomatic Thinking for Information Retrieval
Author:
Affiliation:
1. National Distance Education University, Madrid, Spain
2. University of Delaware, Newark, DE, USA
3. University of Udine, Udine, Italy
4. University of Illinois at Urbana-Champaign, Urbana, IL, USA
Funder
NSF
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3077136.3084369
Reference7 articles.
1. A comparison of extrinsic clustering evaluation metrics based on formal constraints
2. A general account of effectiveness metrics for information tasks
3. A Formal Approach to Effectiveness Metrics for Information Access: Retrieval, Filtering, and Clustering
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1. Information Retrieval Evaluation Measures Defined on Some Axiomatic Models of Preferences;ACM Transactions on Information Systems;2023-12-30
2. Explainable Information Retrieval;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18
3. On the Effect of Ranking Axioms on IR Evaluation Metrics;Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval;2022-08-23
4. Towards Formally Grounded Evaluation Measures for Semantic Parsing-based Knowledge Graph Question Answering;Proceedings of the 2022 ACM SIGIR International Conference on Theory of Information Retrieval;2022-08-23
5. The Observational Representation Framework and its Implications in Document Similarity, Feature Aggregation and Ranking Fusion;PROCES LENG NAT;2022
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