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題名 Predicting popular contributors in innovation crowds: the case of My Starbucks Ideas
作者 向倩儀
Hsiang, Chien-Yi;Rayz, Julia Taylor
貢獻者 資管系
關鍵詞 Crowdsourcing; Innovation crowds; Contributor; Text representations; Word embedding; Supervised machine learning
日期 2022-03
上傳時間 29-Apr-2024 13:41:25 (UTC+8)
關聯 Information Technology & People, Vol.35, No.2, pp.494-509
資料類型 article
DOI https://doi.org/10.1108/ITP-04-2019-0171
dc.contributor 資管系
dc.creator (作者) 向倩儀
dc.creator (作者) Hsiang, Chien-Yi;Rayz, Julia Taylor
dc.date (日期) 2022-03
dc.date.accessioned 29-Apr-2024 13:41:25 (UTC+8)-
dc.date.available 29-Apr-2024 13:41:25 (UTC+8)-
dc.date.issued (上傳時間) 29-Apr-2024 13:41:25 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/150965-
dc.format.extent 104 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Information Technology & People, Vol.35, No.2, pp.494-509
dc.subject (關鍵詞) Crowdsourcing; Innovation crowds; Contributor; Text representations; Word embedding; Supervised machine learning
dc.title (題名) Predicting popular contributors in innovation crowds: the case of My Starbucks Ideas
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1108/ITP-04-2019-0171
dc.doi.uri (DOI) https://doi.org/10.1108/ITP-04-2019-0171