Generation of High-Quality Relevant Judgments through Document Similarity and Document Pooling for the Evaluation of Information Retrieval Systems
Author:
Affiliation:
1. University of Malaya,Faculty of Computer Science & Information Technology,Department of Information Systems,Malaysia
Funder
Ministry of Higher Education
Universiti Malaya
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10029388/10029397/10029459.pdf?arnumber=10029459
Reference15 articles.
1. Relevance feedback with a small number of relevance judgements: incremental relevance feedback vs. document clustering;makoto;Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,0
2. Measurement of clustering effectiveness for document collections
3. Exploring Topic Difficulty in Information Retrieval Systems Evaluation
4. Efficient test collection construction via active learning;md mustafizur;Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval,0
5. Active Sampling for Large-scale Information Retrieval Evaluation
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