On modeling of information retrieval concepts in vector spaces
ACM Transactions on Database Systems (TODS)
Improving text retrieval for the routing problem using latent semantic indexing
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
The effect of adding relevance information in a relevance feedback environment
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
A probabilistic model of information retrieval: development and comparative experiments Part 2
Information Processing and Management: an International Journal
Approximate Dimension Equalization in Vector-based Information Retrieval
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Implementation of the SMART Information Retrieval System
Implementation of the SMART Information Retrieval System
Hybrid Pre-Query Term Expansion using Latent Semantic Analysis
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
A probabilistic model for Latent Semantic Indexing: Research Articles
Journal of the American Society for Information Science and Technology
Eigenvalue-based model selection during latent semantic indexing: Research Articles
Journal of the American Society for Information Science and Technology
Term norm distribution and its effects on latent semantic indexing
Information Processing and Management: an International Journal
A framework for understanding latent semantic indexing (LSI) performance
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
The Sensitivity of Latent Dirichlet Allocation for Information Retrieval
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Kernel latent semantic analysis using an information retrieval based kernel
Proceedings of the 18th ACM conference on Information and knowledge management
Little search game: term network acquisition via a human computation game
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
Approximate document outlier detection using random spectral projection
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Semantics Discovery via Human Computation Games
International Journal on Semantic Web & Information Systems
A novel neighborhood based document smoothing model for information retrieval
Information Retrieval
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Latent semantic analysis (LSA) is a generalized vector space method that uses dimension reduction to generate term correlations for use during the information retrieval process. We hypothesized that even though the dimension reduction establishes correlations between terms, the dimension reduction is causing a degradation in the correlation of a term to itself (self-correlation). In this article, we have proven that there is a direct relationship to the size of the LSA dimension reduction and the LSA self-correlation. We have also shown that by altering the LSA term self-correlations we gain a substantial increase in precision, while also reducing the computation required during the information retrieval process.