Abstract
The Latent Semantic Indexing based standard retrieval usually computes semantic similarity between the query and every document, which is sensitive to the noise. Furthermore, it will take much more time when the scale of the corpus becomes larger. We propose a retrieval method which is based on an indexing matrix. The noises can be wiped off at a certain extent and it can get a better result than the traditional ways. The time cost of our method is much less than the standard retrieval method.
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© 2008 Springer-Verlag Berlin Heidelberg
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Zhao, X., Jiang, Z. (2008). An Indexing Matrix Based Retrieval Model. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_123
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DOI: https://doi.org/10.1007/978-3-540-87442-3_123
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87440-9
Online ISBN: 978-3-540-87442-3
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