1996 IncorporatingLatentSemanticInde

• (Syu et al., 1996) ⇒ Inien Syu, S. D. Lang, and Narsingh Deo. (1996). “Incorporating Latent Semantic Indexing Into a Neural Network Model for Information Retrieval.” In: Proceedings of the fifth International Conference on Information and knowledge management. ISBN:0-89791-873-8 doi:10.1145/238355.238475

Subject Headings:

Notes

• Related to https://ieeexplore.ieee.org/document/549089

Cited By

• http://scholar.google.com/scholar?q=%221996%22+Incorporating+Latent+Semantic+Indexing+Into+a+Neural+Network+Model+for+Information+Retrieval
• http://dl.acm.org/citation.cfm?id=238355.238475&preflayout=flat#citedby

Quotes

Abstract

We incorporate the Latent Semantic Indexing (LSI) technique into a competition-based neural network model for information retrieval. The original neural network model was based on a causal inference network, incorporating Roget’s Thesaurus, that connects the index terms and related documents. Since the process of creating or updating a thesaurus is rather expensive, we apply the LSI technique to provide an automated procedure that captures the semantic relationship between the documents and index terms. Our experimental results using four standard text collections show that the LSI-based model generates appreciable improvement in retrieval effectiveness with faster query evaluation over the thesaurus-based model.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
1996 IncorporatingLatentSemanticInde	Inien Syu S. D. Lang Narsingh Deo			Incorporating Latent Semantic Indexing Into a Neural Network Model for Information Retrieval				10.1145/238355.238475		1996