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題名 Social Influencer Analysis with Factorization Machines
作者 Tsai, Ming-Feng;Wang, Chuan-Ju;Lin, Zhe-Li
蔡銘峰
貢獻者 資科系
關鍵詞 Social Influence Analysis, Collaborative Filtering, Factorization Machines
日期 2015-06
上傳時間 22-Jun-2016 17:14:58 (UTC+8)
摘要 How will the reputations of individuals in a social network be in uenced by their communities in a quantitative way? This work attempts to observe the collaborative events occurring at individuals involved in a social network to obtain such crucial knowledge. We propose a Factorization Machine approach to nd out the latent social in uence among the individuals based on their collaborations. Experiments conducted on a real-world DBLP dataset verify that the proposed approach can discover the latent social in uence among individuals and provide a better predictive model than several baselines.
關聯 Proceedings of the 2015 ACM Web Science (WebSci `15), 2015
資料類型 conference
DOI http://dx.doi.org/10.1145/2786451.2786490
dc.contributor 資科系
dc.creator (作者) Tsai, Ming-Feng;Wang, Chuan-Ju;Lin, Zhe-Li
dc.creator (作者) 蔡銘峰zh_TW
dc.date (日期) 2015-06
dc.date.accessioned 22-Jun-2016 17:14:58 (UTC+8)-
dc.date.available 22-Jun-2016 17:14:58 (UTC+8)-
dc.date.issued (上傳時間) 22-Jun-2016 17:14:58 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/98236-
dc.description.abstract (摘要) How will the reputations of individuals in a social network be in uenced by their communities in a quantitative way? This work attempts to observe the collaborative events occurring at individuals involved in a social network to obtain such crucial knowledge. We propose a Factorization Machine approach to nd out the latent social in uence among the individuals based on their collaborations. Experiments conducted on a real-world DBLP dataset verify that the proposed approach can discover the latent social in uence among individuals and provide a better predictive model than several baselines.
dc.format.extent 250356 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Proceedings of the 2015 ACM Web Science (WebSci `15), 2015
dc.subject (關鍵詞) Social Influence Analysis, Collaborative Filtering, Factorization Machines
dc.title (題名) Social Influencer Analysis with Factorization Machines
dc.type (資料類型) conference
dc.identifier.doi (DOI) 10.1145/2786451.2786490
dc.doi.uri (DOI) http://dx.doi.org/10.1145/2786451.2786490