Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3547
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dc.contributor.authorShaw, Rabi-
dc.contributor.authorPatra, Bidyut Kr.-
dc.date.accessioned2020-11-09T09:24:50Z-
dc.date.available2020-11-09T09:24:50Z-
dc.date.issued2020-09-
dc.identifier.citation6th International Conference on Mathematics and Computing, 2020 (ICMC 2020), Sikkim University, India, September 23-25, 2020en_US
dc.identifier.urihttp://hdl.handle.net/2080/3547-
dc.descriptionCopyright of this document is with publisheren_US
dc.description.abstractCollaborative filtering (CF) framework in recommendationis a very popular technique for providing personalized recommendation.Slope one predictor is a model based CF which has received good atten-tion from researchers and practitioners. In this paper, we revisit the slopeone predictor to incorporate strong features of neighbourhood based CFinto it for providing personalized recommendation to users. Preliminary results with two real world datasets are very promising. Proposed tech-nique outperforms original slope one and its performance is at par with a variant of slope one introduced recently.en_US
dc.subjectCollaborative framework(CF)en_US
dc.subjectslope one revisiteden_US
dc.subjectperson-alize recommendationen_US
dc.titleSlope One Meets Neighborhood: Revisiting Slope One Predictor in Collaborative Filteringen_US
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