Design of nonlinear data-based wellness content recommendation algorithm
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jang, Y.-H. | - |
dc.contributor.author | Yang, S.-S. | - |
dc.contributor.author | Kim, H.-J. | - |
dc.contributor.author | Park, S.-C. | - |
dc.date.available | 2020-02-27T12:42:35Z | - |
dc.date.created | 2020-02-12 | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 1876-1100 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/4278 | - |
dc.description.abstract | As IT technology has advanced and people’s interest in wellness has increased, recommendation algorithms are being developed to allow people to use wellness content easily. However, existing recommendation algorithms use data entered by users and content-based filtering to recommend content, making it difficult to recommend areas of interest which change in real time. Therefore, in this paper we propose an algorithm which creates user information based on nonlinear social network data and makes recommendations in real time in order to reflect the user’s recent interests. The test result verified that the proposed algorithm improved accuracy by 31% compared to that of the existing content-based recommendation algorithm. © Springer Nature Singapore Pte Ltd. 2018. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Springer Verlag | - |
dc.relation.isPartOf | Lecture Notes in Electrical Engineering | - |
dc.subject | Data mining | - |
dc.subject | Content based filtering | - |
dc.subject | Non linear | - |
dc.subject | Recommendation algorithms | - |
dc.subject | Text mining | - |
dc.subject | Wellness | - |
dc.subject | Wellness recommend content | - |
dc.subject | Ubiquitous computing | - |
dc.title | Design of nonlinear data-based wellness content recommendation algorithm | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000437317300122 | - |
dc.identifier.doi | 10.1007/978-981-10-7605-3_122 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Electrical Engineering, v.474, pp.766 - 771 | - |
dc.identifier.scopusid | 2-s2.0-85039429416 | - |
dc.citation.endPage | 771 | - |
dc.citation.startPage | 766 | - |
dc.citation.title | Lecture Notes in Electrical Engineering | - |
dc.citation.volume | 474 | - |
dc.contributor.affiliatedAuthor | Jang, Y.-H. | - |
dc.contributor.affiliatedAuthor | Yang, S.-S. | - |
dc.contributor.affiliatedAuthor | Park, S.-C. | - |
dc.type.docType | Proceedings Paper | - |
dc.subject.keywordAuthor | Content-based filtering | - |
dc.subject.keywordAuthor | Non-linear data | - |
dc.subject.keywordAuthor | Recommendation algorithm | - |
dc.subject.keywordAuthor | Text mining | - |
dc.subject.keywordAuthor | Wellness | - |
dc.subject.keywordAuthor | Wellness recommend content | - |
dc.subject.keywordPlus | Data mining | - |
dc.subject.keywordPlus | Content based filtering | - |
dc.subject.keywordPlus | Non linear | - |
dc.subject.keywordPlus | Recommendation algorithms | - |
dc.subject.keywordPlus | Text mining | - |
dc.subject.keywordPlus | Wellness | - |
dc.subject.keywordPlus | Wellness recommend content | - |
dc.subject.keywordPlus | Ubiquitous computing | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.description.journalRegisteredClass | scopus | - |
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