IR evaluation methods for retrieving highly relevant documents
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Summary
The novel evaluation methods and the case demonstrate that non-dichotomous relevance assessments are applicable in IR experiments, may reveal interesting phenomena, and allow harder testing of IR methods.
- Type
- article
- Published
- 2000-07-01
- Cited by
- 455
- References
- 21
- OpenAlex
- https://openalex.org/W1985554184
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:12348212
Keywords
Computer science, Information retrieval, Relevance (law), Query expansion, Precision and recall
References
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- An evaluation of retrieval effectiveness for a full-text document-retrieval system
- Practical Nonparametric Statistics
- An Evaluation of Interactive Boolean and Natural Language Searching with an Online Medical Textbook
- The fifth text REtrieval conference (TREC-5)
- A study of information seeking and retrieving. I. Background and methodology
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- Disease Similarity Calculation on Simplified Disease Knowledge Base for Clinical Decision Support Systems
- Design of fusion technique-based mining engine for smart business
- Deep semantic ranking based hashing for multi-label image retrieval
- Unsupervised Ranking of Multi-Attribute Objects Based on Principal Curves
- Learning to rank related entities in Web search
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- A diagram retrieval method with multi-label learning
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