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鄭君伍
手機遊戲-RFM分群使用者流失預測分析
手機遊戲-RFM分群使用者流失預測分析
手機遊戲-RFM分群使用者流失預測分析
By
鄭君伍
資深資料科學家、商業分析師與商業開發運營主管
・
Taipei City, Taiwan
Connect
透過遊戲內遊戲上線後三個月VIP玩家每日行為資料,依自訂RFM客戶分群,進行遊戲VIP使用者分析。依分析趨勢提出使用者流失關鍵行為假設,並透過SVM、隨機森林等機器學習模型驗證,提出分析報告。 1. 平台系統 : 依自訂RFM分群資料,結合SVM與隨機森林等機器學習演算法系統。 2. 結果 : 根據前一個月VIP使用者行為,預測最有可能成為流失的人,並驗證關鍵流失原因,準確率達98%。
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Post
鄭君伍
Connect
公開されました: 3月 5日 2021
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SVM
Machine Learning
User Research
RFM MODEL
Python
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