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Information retrieval using a singular value decomposition model of latent semantic structure
Open accessAbstract
In a new method for automatic indexing and retrieval, implicit higher-order structure in the association of terms with documents is modeled to improve estimates of term-document association, and therefore the detection of relevant documents on the basis of terms found in queries. Singular-value decomposition is used to decompose a large term by document matrix into 50 to 150 orthogonal factors from which the original matrix can be approximated by linear combination; both documents and terms are represented as vectors in a 50- to 150- dimensional space. Queries are represented as pseudo-documents vectors formed from weighted combinations of terms, and documents are ordered by their similarity to the query. Initial tests find this automatic method very promising.
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Cited by
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Robertson, S., & Zaragoza, H. (2009) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000019 · Cited by 3,374
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McDonald, D. W., & Ackerman, M. S. (2000) · Proceedings of the 2000 ACM conference on Computer supported cooperative work · doi:10.1145/358916.358994 · Cited by 425
Survey of research towards robust peer-to-peer networks: Search methods
Risson, J., & Moors, T. (2006) · Computer Networks · doi:10.1016/j.comnet.2006.02.001 · Cited by 386
Large-Scale Cross-Modality Search via Collective Matrix Factorization Hashing
Ding, G., Guo, Y., Zhou, J., & Gao, Y. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2607421 · Cited by 218
Metadata
- Authors
- Furnas, G. W., Deerwester, S., Dumais, S. T., Landauer, T. K., Harshman, R. A., Streeter, L. A., & Lochbaum, K. E.
- Venue
- Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '88
- Publisher
- ACM Press
- Published
- 1988
- Pages
- 465-480
- OpenAlex
- W4245049592
- Cited by
- 257
- References
- 0
- FWCI
- 1.96
- Type
- conference paper
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Information retrieval using a singular value decomposition model of latent semantic structure. https://app.cochat.ai/papers/10.1145/62437.62487
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- Furnas, G. W., Deerwester, S., Dumais, S. T., Landauer, T. K., Harshman, R. A., Streeter, L. A., & Lochbaum, K. E. (1988). Information retrieval using a singular value decomposition model of latent semantic structure. Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '88. https://doi.org/10.1145/62437.62487
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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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