ACM SIGIR Forum· 2017
Information Retrieval using a Singular Value Decomposition Model of Latent Semantic Structure
- 388citations
- 2017year
Short summary
This paper introduces a novel approach to information retrieval by modeling latent semantic structure using Singular Value Decomposition (SVD). The method aims to improve search accuracy by uncovering underlying relationships between terms and documents.
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Key points
- Introduces a Singular Value Decomposition (SVD) model for information retrieval.
- Focuses on modeling latent semantic structure to uncover underlying relationships.
- Aims to improve search accuracy by identifying conceptual matches.
- Moves beyond traditional keyword-based search methods.
AI-generated from the title and abstract; the full text is not read.
Abstract
column Share on Information Retrieval using a Singular Value Decomposition Model of Latent Semantic Structure Authors: George W. Furnas Bellcore BellcoreView Profile , Scott Deerwester University of Chicago University of ChicagoView Profile , Susan T. Durnais Bellcore BellcoreView Profile , Thomas K. Landauer Bellcore BellcoreView Profile , Richard A. Harshman University of Western Ontario University of Western OntarioView Profile , Lynn A. Streeter Bellcore BellcoreView Profile , Karen E. Lochbaum Bellcore BellcoreView Profile Authors Info & Claims ACM SIGIR ForumVolume 51Issue 2July 2017 pp 90–105https://doi.org/10.1145/3130348.3130358Published:02 August 2017Publication History 4citation508DownloadsMetricsTotal Citations4Total Downloads508Last 12 Months79Last 6 weeks7 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
The authors' abstract, as published at the source. ACM SIGIR Forum, 2017 · DOI ↗
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Field: Computational Mathematics
Computational MathematicsMathematics