Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval
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Summary
The 2-Poisson model for term frequencies is used to suggest ways of incorporating certain variables in probabilistic models for information retrieval, and substantial performance improvements are demonstrated.
- Type
- article
- Published
- 1994-08-01
- Cited by
- 1,931
- References
- 19
- OpenAlex
- https://openalex.org/W1488423721
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:2218552
Keywords
Weighting, Simple (philosophy), Term (time), Poisson distribution, Computer science
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- Relevance weighting of search terms
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- Using Probabilistic Models of Document Retrieval without Relevance Information
- Okapi at TREC2
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- A tutorial on information retrieval: basic terms and concepts
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- A Hybrid Model to Improve Relevance in Document Retrieval
- Reflections on "Aboutness" TREC-9 Evaluation Experiments at Justsystem
- A Decade after TREC-4 - NTCIR-5 CLIR-J-J Experiments at Yahoo!Japan
- Evaluating multiple LVCSR model combination in NTCIR-3 speech-driven web retrieval task
- Term Distillation for Cross-DB Retrieval
- Single Language Information Retrieval at NTCIR-5
- Evaluation de la Performance de la Classification d'un Système Question/Réponse
- Waterloo at NTCIR-3: Using Self-supervised Word Segmentation
- A Framework for Cross-Language Information Access: Application to English and Japanese
- Combining Granularity-based Topic-Dependent and Topic-Independent Evidences for Opinion Detection
- Un système de recherche d'information personnalisée basé sur la modélisation multidimensionnelle de l'utilisateur. (Personalized Information retrieval system based on multidimensional user modeling)
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