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邱泊瑜
消費者推薦系統
消費者推薦系統
消費者推薦系統
By
邱泊瑜
Data Engineer
・
Taipei, Taiwan
Connect
透過相似度閾值設定,找出喜好類型相近的消費者,再進一步互相推薦各自曾購買過的產品。 說明: 以範例一為例子。對凱文來說,小明跟他的相似度是 3/4 = 75% >= 50%,小美是 0/4 = 0% < 50%,小華是 2/4 = 50% >= 50%。 因此,我們推薦凱文小明買過但他沒買過的卡片跟機車,還有小華買過但凱文沒買過的番茄。 在輸出的第一行,我們先輸出凱文,接著依照商品出現的順序依序輸出要推薦給凱文的卡片、機車、番茄。 對小明來說,只有凱文跟他的相似度 3/5 = 60% >= 50%,因此我們推薦他凱文買過但他沒買過的鑰匙。 阿小美就是個邊緣人,我們先不理他。( Designed by ccClub) 完整程式碼: https://is.gd/qDWOcd
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Published: Nov 7th 2020
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