Verboseness Fission for BM25 Document Length Normalization
Author:
Affiliation:
1. National Institute of Informatics, Tokyo, Japan
2. Vienna University of Technology, Vienna, Austria
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2808194.2809486
Reference17 articles.
1. Probabilistic models of information retrieval based on measuring the divergence from randomness
2. Document normalization revisited
3. Overview of the third text Retrieval conference (TREC-3)
4. A study of parameter tuning for term frequency normalization
5. A study of the dirichlet priors for term frequency normalisation
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