Advanced
Please use this identifier to cite or link to this item: https://digital.lib.ueh.edu.vn/handle/UEH/62283
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDang T.T.-
dc.contributor.otherDuong T.H.-
dc.contributor.otherNguyen H.S.-
dc.date.accessioned2021-09-05T02:41:54Z-
dc.date.available2021-09-05T02:41:54Z-
dc.date.issued2015-
dc.identifier.issn2329-6275-
dc.identifier.urihttp://digital.lib.ueh.edu.vn/handle/UEH/62283-
dc.description.abstractThe online shopping is becoming a trend in the age of digital technology. By using intelligent recommendations, the online shops or online retailers directly approach and meet customers' demand easier than the physical stores. However, the online shopping still has its drawbacks, among a variety of diverse product types, sizes and design, customers need to browse and filter from a wide range of sub-categories to find the suitable products. That is why the justice system that collects customer information and products to make appropriate suggestions for each user is raised encouraged using on the commercial website. The purpose of this work aims at proposing a hybrid framework for enhancing correlation to solve cold-start problem in recommender systems. Experiments are performed using MovieLens dataset to make a realistic methodology.en
dc.formatPortable Document Format (PDF)-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.relation.ispartofThe 2014 Seventh IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA)-
dc.rightsIEEE-
dc.subjectCollaborative filteringen
dc.subjectDemographic filteringen
dc.subjectInformation filteringen
dc.subjectPersonalizationen
dc.subjectRecommendationen
dc.titleA hybrid framework for enhancing correlation to solve cold-start problem in recommender systemsen
dc.typeConference Paperen
dc.identifier.doihttps://doi.org/10.1109/CISDA.2014.7035626-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextOnly abstracts-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Conference Papers
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.