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Scatter/Gather: a cluster-based approach to browsing large document collections
Open accessAbstract
Document clustering has not been well received as an information retrieval tool. Objections to its use fall into two main categories: first, that clustering is too slow for large corpora (with running time often quadratic in the number of documents); and second, that clustering does not appreciably improve retrieval.
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Cited by
Exploratory Search: Beyond the Query-Response Paradigm
White, R. W., & Roth, R. A. (2009) · Synthesis lectures on information concepts, retrieval, and services · doi:10.2200/s00174ed1v01y200901icr003 · Cited by 632
A Data-Clustering Algorithm on Distributed Memory Multiprocessors
Dhillon, I. S., & Modha, D. S. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-46502-2_13 · Cited by 386
RankClus: integrating clustering with ranking for heterogeneous information network analysis
Sun, Y., Han, J., Zhao, P., Yin, Z., Cheng, H., & Wu, T. (2009) · Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology · doi:10.1145/1516360.1516426 · Cited by 382
Improving browsing in digital libraries with keyphrase indexes
Gutwin, C., Paynter, G., Witten, I., Nevill-Manning, C., & Frank, E. (1999) · Decision Support Systems · doi:10.1016/s0167-9236(99)00038-x · Cited by 262
Applications of text mining within systematic reviews
Thomas, J., McNaught, J., & Ananiadou, S. (2011) · Research Synthesis Methods · doi:10.1002/jrsm.27 · Cited by 212
Metadata
- Authors
- Cutting, D. R., Karger, D. R., Pedersen, J. O., & Tukey, J. W.
- Venue
- Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '92
- Publisher
- ACM Press
- Published
- 1992
- Pages
- 318-329
- OpenAlex
- W4241122026
- Cited by
- 953
- References
- 0
- FWCI
- 7.07
- Type
- conference paper
- Language
- en
- Open access
- green
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- Cutting, D. R., Karger, D. R., Pedersen, J. O., & Tukey, J. W. (1992). Scatter/Gather: a cluster-based approach to browsing large document collections. Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '92. https://doi.org/10.1145/133160.133214
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.