The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Understanding inverse document frequency: on theoretical arguments for IDF
Abstract
The term weighting function known as IDF was proposed in 1972, and has since been extremely widely used, usually as part of a TF*IDF function. It is often described as a heuristic, and many papers have been written (some based on Shannon’s Information Theory) seeking to establish some theoretical basis for it. Some of these attempts are reviewed, and it is shown that the Information Theory approaches are problematic, but that there are good theoretical justifications of both IDF and TF*IDF in traditional probabilistic model of information retrieval.
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Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
A STATISTICAL INTERPRETATION OF TERM SPECIFICITY AND ITS APPLICATION IN RETRIEVAL
SPARCK JONES, K. (1972) · Journal of Documentation · doi:10.1108/eb026526 · Cited by 4,505
A Language Modeling Approach to Information Retrieval
Ponte, J. M., & Croft, W. B. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130368 · Cited by 2,503
Relevance weighting of search terms
Robertson, S. E., & Jones, K. S. (1976) · Journal of the American Society for Information Science · doi:10.1002/asi.4630270302 · Cited by 2,081
Self-citationEntropy and Information Theory
Gray, R. M. (2011) · Springer eBooks · doi:10.1007/978-1-4419-7970-4 · Cited by 1,803
Some Simple Effective Approximations to the 2-Poisson Model for Probabilistic Weighted Retrieval
Robertson, S. E., & Walker, S. (1994) · SIGIR ’94 · doi:10.1007/978-1-4471-2099-5_24 · Cited by 1,477
Self-citationRelevance-Based Language Models
Lavrenko, V., & Croft, W. B. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130376 · Cited by 1,422
An information-theoretic perspective of tf–idf measures
Aizawa, A. (2003) · Information Processing & Management · doi:10.1016/s0306-4573(02)00021-3 · Cited by 1,419
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
Joachims, T. (1997) · Cited by 1,262
THE PROBABILITY RANKING PRINCIPLE IN IR
ROBERTSON, S. E. (1977) · Journal of Documentation · doi:10.1108/eb026647 · Cited by 1,103
Self-citation
Cited by
CIDEr: Consensus-based image description evaluation
Vedantam, R., Zitnick, C. L., & Parikh, D. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7299087 · Cited by 4,845
Unified rational protein engineering with sequence-based deep representation learning
Alley, E. C., Khimulya, G., Biswas, S., AlQuraishi, M., & Church, G. M. (2019) · Nature Methods · doi:10.1038/s41592-019-0598-1 · Cited by 1,131
A Comprehensive Survey of Deep Learning for Image Captioning
Hossain, M. Z., Sohel, F., Shiratuddin, M. F., & Laga, H. (2019) · ACM Computing Surveys · doi:10.1145/3295748 · Cited by 879
“However, CIDEr achieves human consensus using term frequency-inverse document frequency (TF-IDF) [121].”
BackgroundInterpreting TF-IDF term weights as making relevance decisions
Wu, H. C., Luk, R. W. P., Wong, K. F., & Kwok, K. L. (2008) · ACM Transactions on Information Systems · doi:10.1145/1361684.1361686 · Cited by 821
Comparing BERT against traditional machine learning text classification
González-Carvajal, S., & Garrido-Merchán, E. C. (2020) · arXiv · doi:10.48550/arxiv.2005.13012 · Cited by 466
Metadata
- Authors
- Robertson, S.
- Venue
- Journal of Documentation
- Publisher
- Emerald
- Published
- 2004-10
- Volume
- 60
- Issue
- 5
- Pages
- 503-520
- ISSN
- 0022-0418 (ISSN-L)
- OpenAlex
- W2024932032
- Cited by
- 1,541
- References
- 24
- FWCI
- 42.72
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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