Local Feedback in Full-Text Retrieval Systems

Journal of the ACMPublished 1 July 1977Open access

Rony Attar, Aviezri S. Fraenkel

DOI10.1145/322017.322021

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Citations234

SJR quartileQ1

SJR score2.25

SNIP3.16

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TL;DR

Local clustering is practical also for large databases and appears to improve overall performance, especially if metrical constraints and weighting by proximity are embedded m the local feedback.

Abstract

article Free AccessLocal Feedback in Full-Text Retrieval Systems Authors: R. Attar Department of Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel Department of Applied Mathematics, The Weizmann Institute of Science, Rehovot, IsraelView Profile , A. S. Fraenkel Department of Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel Department of Applied Mathematics, The Weizmann Institute of Science, Rehovot, IsraelView Profile Authors Info & Claims Journal of the ACMVolume 24Issue 3July 1977 pp 397–417https://doi.org/10.1145/322017.322021Published:01 July 1977Publication History 186citation1,216DownloadsMetricsTotal Citations186Total Downloads1,216Last 12 Months56Last 6 weeks4 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 SiteeReaderPDF

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