Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
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
Improving the effectiveness of information retrieval with local context analysis
ACM Transactions on Information Systems (TOIS)
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Approximate Dimension Equalization in Vector-based Information Retrieval
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Is singular value decomposition useful for word similarity extraction?
Language Resources and Evaluation
Implementation techniques for large-scale latent semantic indexing applications
Proceedings of the 20th ACM international conference on Information and knowledge management
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In this paper, we focus on performing LSI on very low SVD dimensions. The results show that there is a nearly linear surface in the local query region. Using low-dimensional LSI on local query region we can capture such a linear surface, obtain much better performance than VSM and come comparably to global LSI. The surprisingly small requirements of the SVD dimension resolve the computation restrictions. Moreover, on the condition that several relevant sample documents are available, application of low-dimensional LSI to these documents yielded comparable IR performance to local RF but in a different manner.