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Recommendation system using hybrid collaborative filtering methods for community searching

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dc.contributor.authorEriya,
dc.contributor.authorKodu, P.G.
dc.contributor.authorNugrahani, F.
dc.contributor.authorGhosh, A.
dc.contributor.conferenceInternational Conference of Computer and Informatics Engineering, IC2IE 2018 (12 Sep 2018 - 13 Sep 2018 : Bogor, Indonesia)
dc.date.issued2019
dc.description.abstractCommunity is a group that has the possibility to connect to each other or between members of other groups. However, nowadays many people difficult to get information about the communities that are around them. Recommendation system can help people to find the right community. This paper proposes a recommendation system to help people find appropriate communities using Hybrid Collaborative Filtering methods. This system can help people to search for the suitable community based on their location and category. It can also provide recommendations based on their interests and criteria
dc.identifier.citationJournal of Physics : Conference Series, 2019, vol.1193, iss.1, article no. 012021, pp.1-7
dc.identifier.doi10.1088/1742-6596/1193/1/012021
dc.identifier.issn1742-6588
dc.identifier.issn1742-6596
dc.identifier.urihttps://hdl.handle.net/11541.2/137270
dc.language.isoen
dc.publisherInstitute of Physics Publishing
dc.publisher.placeUK
dc.rightsCopyright 2019 Published under licence by IOP Publishing. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
dc.source.urihttps://doi.org/10.1088/1742-6596/1193/1/012021
dc.subjectcommunity
dc.subjecthybrid collaborative filtering
dc.subjectrecommender system
dc.titleRecommendation system using hybrid collaborative filtering methods for community searching
dc.typeConference paper
pubs.publication-statusPublished
ror.fileinfo12174972150001831 13174962080001831 Eriya_2019_J._Phys.__Conf._Ser._1193_012021.pdf
ror.mmsid9916284784801831

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