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    --- title: "與廣告帳戶間的頂尖對決 - CoreML、CreateML 在線上產品中做為輔助角色的應用案例" tags: "iPlayground2020" --- # 與廣告帳戶間的頂尖對決 - CoreML、CreateML 在線上產品中做為輔助角色的應用案例 {%hackmd vUibBZG0ToSRiPuj0wOKvg %} <!-- {%speakerdeck hokila/iplayground-2019-opening-first-day %} --> > 請從這裡開始 # 與廣告帳戶直接的頂尖對決 Marvin Lin ## 故事爆料同學會 ### 廣告帳戶的特徵 平日早上九點開始活動,中午十二點會停止,下午一點半開始 ### 對方開始進化 如果直接封掉廣告關鍵字,對方會立刻做變化馬上發出來 - 避開關鍵字 - 換掉大頭貼 - 帳號名稱合理 - 會在一天內創大量帳號開始養 - 尋找段時間提升等級的方法 - 用 emoji / 同音 ### 我方進化 - 詞向量系統 CreateML 有自然語言分析 為什麼不交給機器學習小組 - 他們負責金融相關的工作 - 不確定用那種 NLP - 沒辦法立刻上手前端 API ## 使用 ML 的流程 1. 定義問題 2. 整理 Data 3. 訓練模型 4. 驗證 5. 輸出 Model 700筆訓練資料,用一萬筆去測試,其中抓出五百筆廣告,有250筆是誤判成廣告 之後將剩下的資料拿去產生另一個 model,並另外用一萬筆新的資料測試,誤判率從50%降到23%,所以又做了第三個 model TuriCreate 可以用 python 寫直接串接後端,並且有很多參數可以調,結果也會顯示信心值 結果:前幾次的結果都是 Swift 寫的 CoreML 比較高 ## 為什麼要使用 CoreML、CreateML - 這個題目已經有對應的工具和方法 - ML 小組沒資源 - 前期做實驗 ## 廣告的變化 - 圖片 - 圖片裡包 emoji - 圖片裡放投影片再放廣告內容 - 用注音文 - 偽裝成官方,放Logo - 用可愛的 LINE 圖 ###### tags:`iPlayground2020`

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