Evaluating The Performance Of A Biclustering Algorithm Applied To Collaborative Filtering - A Comparative Analysis

dc.creatorDe Castro P.A.D.
dc.creatorDe Franca F.O.
dc.creatorFerreira H.M.
dc.creatorVon Zuben F.J.
dc.date2007
dc.date2015-06-30T18:39:12Z
dc.date2015-11-26T14:30:39Z
dc.date2015-06-30T18:39:12Z
dc.date2015-11-26T14:30:39Z
dc.date.accessioned2018-03-28T21:34:00Z
dc.date.available2018-03-28T21:34:00Z
dc.identifier0769529461; 9780769529462
dc.identifierProceedings - 7th International Conference On Hybrid Intelligent Systems, His 2007. , v. , n. , p. 65 - 70, 2007.
dc.identifier
dc.identifier10.1109/ICHIS.2007.4344029
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-47149117785&partnerID=40&md5=c99db6eca3ad89746058ddfa3bdaa1a1
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/104172
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/104172
dc.identifier2-s2.0-47149117785
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1247171
dc.descriptionCollaborative filtering (CF) is a method to perform automated suggestions for a user based on the opinion of other users with similar interest. Most of the CF algorithms do not take into account the existent duality between users and items, considering only the similarities between users or only the similarities between items. The authors have proposed in a previous work a bio-inspired methodology for CF, namely BIC-aiNet, capable of clustering rows and columns of a data matrix simultaneously. The usefulness and performance of the methodology are reported in the literature. Now, the authors carry out more rigorous comparative experiments with BIC-aiNet and other techniques found in the literature, as well as evaluate the scalability of the algorithm in several datasets of different sizes. The results indicate that our proposal is able to provide useful recommendations for the users, outperforming other methodologies for CF. © 2007 IEEE.
dc.description
dc.description
dc.description65
dc.description70
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dc.languageen
dc.publisher
dc.relationProceedings - 7th International Conference on Hybrid Intelligent Systems, HIS 2007
dc.rightsfechado
dc.sourceScopus
dc.titleEvaluating The Performance Of A Biclustering Algorithm Applied To Collaborative Filtering - A Comparative Analysis
dc.typeActas de congresos


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