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dc.contributor.author胡斐zh_TW
dc.contributor.author劉敦仁zh_TW
dc.contributor.authorHu, Feien_US
dc.contributor.authorLiu, Duen-Renen_US
dc.date.accessioned2018-01-24T07:42:05Z-
dc.date.available2018-01-24T07:42:05Z-
dc.date.issued2017en_US
dc.identifier.urihttp://etd.lib.nctu.edu.tw/cdrfb3/record/nctu/#GT070353438en_US
dc.identifier.urihttp://hdl.handle.net/11536/142365-
dc.language.isozh_TWen_US
dc.subject广告点击率zh_TW
dc.subject机器学习zh_TW
dc.subjectMLlibzh_TW
dc.subjectHadoopzh_TW
dc.subjectHadoopen_US
dc.subjectClick-through Rateen_US
dc.subjectMLliben_US
dc.subjectHadoopen_US
dc.title基於分散式平台機器學習的廣告點擊率預測研究zh_TW
dc.titleResearch on CTR Prediction for Advertisement based on Machine Learning of Distributed Platformen_US
dc.typeThesisen_US
dc.contributor.department資訊管理研究所zh_TW
Appears in Collections:Thesis


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