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dc.contributor.authorHayes, Conor
dc.contributor.authorCunningham, Padraig
dc.contributor.authorSmyth, Barry
dc.date.accessioned2008-01-08T10:32:44Z
dc.date.available2008-01-08T10:32:44Z
dc.date.issued2001-03
dc.identifier.citationHayes, Conor; Cunningham, Padraig; Smyth, Barry. 'A Case-Based Reasoning View of Automated Collaborative Filtering'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-2001-09, 2001, pp15en
dc.identifier.otherTCD-CS-2001-09
dc.identifier.urihttp://hdl.handle.net/2262/13140
dc.description.abstractFrom some perspectives Automated Collaborative Filtering (ACF) appears quite similar to Case-Based Reasoning (CBR). It works on data organised around users and assets that might be considered case descriptions. In addition, in some versions of ACF, much of the induction is deferred to run time ? in the lazy learning spirit of CBR. On the other hand, because of its lack of semantic descriptions it seems to be the antithesis of case-based reasoning ? a learning approach based on case representations. This paper analyses the characteristics shared by ACF and CBR, it highlights the differences between the two approaches and attempts to answer the question ?When is it useful or valid to consider ACF as CBR??. We argue that a CBR perspective on ACF can only be useful if it offers insights into the ACF process and supports a transfer of techniques. In conclusion we present a case retrieval net model of ACF and show how it allows for enhancements to the basic ACF idea.en
dc.format.extent120111 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherTrinity College Dublin, Department of Computer Scienceen
dc.relation.ispartofseriesComputer Science Technical Reporten
dc.relation.ispartofseriesTCD-CS-2001-09en
dc.relation.haspartTCD-CS-[no.]en
dc.subjectComputer Scienceen
dc.titleA Case-Based Reasoning View of Automated Collaborative Filteringen
dc.typeTechnical Reporten
dc.identifier.rssurihttps://www.cs.tcd.ie/publications/tech-reports/reports.01/TCD-CS-2001-09.pdf


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