{"id":62368,"date":"2026-01-19T22:42:15","date_gmt":"2026-01-19T14:42:15","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/62368.html"},"modified":"2026-01-19T22:42:15","modified_gmt":"2026-01-19T14:42:15","slug":"%e5%a4%a7%e6%95%b0%e6%8d%ae%e9%a1%b9%e7%9b%ae%ef%bc%9apython%e7%8c%ab%e7%9c%bc%e7%94%b5%e5%bd%b1%e6%95%b0%e6%8d%ae%e5%8f%af%e8%a7%86%e5%8c%96%e4%b8%8e%e6%99%ba%e8%83%bd%e5%88%86%e6%9e%90%e5%b9%b3","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/62368.html","title":{"rendered":"\u5927\u6570\u636e\u9879\u76ee\uff1apython\u732b\u773c\u7535\u5f71\u6570\u636e\u53ef\u89c6\u5316\u4e0e\u667a\u80fd\u5206\u6790\u5e73\u53f0 \u6570\u636e\u5927\u5c4f \u7535\u5f71\u7968\u623f\u9884\u6d4b \u7535\u5f71\u63a8\u8350\uff08\u534f\u540c\u8fc7\u6ee4\u63a8\u8350\u7b97\u6cd5\uff09\u722c\u866bflask\u6846\u67b6 \u6bd5\u4e1a\u8bbe\u8ba1\uff08\u5efa\u8bae\u6536\u85cf\uff09\u2705"},"content":{"rendered":"

<\/h2>\n

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1\u3001\u9879\u76ee\u4ecb\u7ecd<\/h3>\n

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2\u3001\u9879\u76ee\u754c\u9762<\/h3>\n

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\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

（4）\u6570\u636e\u5206\u6790\u53ef\u89c6\u5316<\/p>\n

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（5）\u7968\u623f\u9884\u6d4b<\/p>\n

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（6）\u7535\u5f71\u63a8\u8350<\/p>\n

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（7）\u540e\u53f0\u6570\u636e\u7ba1\u7406<\/p>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

（8）\u6ce8\u518c\u767b\u5f55<\/p>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

3\u3001\u9879\u76ee\u8bf4\u660e<\/h3>\n

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  • \u540e\u53f0\u6570\u636e\u7ba1\u7406\u754c\u9762：\u9762\u5411\u7ba1\u7406\u5458\u5f00\u653e，\u652f\u6301\u5bf9\u91c7\u96c6\u7684\u7535\u5f71\u6570\u636e\u3001\u7528\u6237\u6570\u636e\u8fdb\u884c\u589e\u5220\u6539\u67e5\u64cd\u4f5c\u2014\u2014\u53ef\u4fee\u6b63\u5f02\u5e38\u7968\u623f\u6570\u636e\u3001\u8865\u5145\u65b0\u4e0a\u6620\u7535\u5f71\u4fe1\u606f\u3001\u7ba1\u7406\u7528\u6237\u8d26\u53f7\u6743\u9650，\u786e\u4fdd\u5e73\u53f0\u6570\u636e\u7684\u51c6\u786e\u6027\u4e0e\u5b89\u5168\u6027；<\/li>\n
  • \u6ce8\u518c\u767b\u5f55\u754c\u9762：\u4f5c\u4e3a\u7528\u6237\u8eab\u4efd\u9a8c\u8bc1\u5165\u53e3，\u652f\u6301\u624b\u673a\u53f7\/\u90ae\u7bb1\u6ce8\u518c，\u7ed3\u5408\u5bc6\u7801\u52a0\u5bc6\u5b58\u50a8\u4e0e\u4f1a\u8bdd\u7ba1\u7406，\u4fdd\u969c\u7528\u6237\u8d26\u53f7\u5b89\u5168，\u540c\u65f6\u4e3a\u4e2a\u6027\u5316\u63a8\u8350\u3001\u6536\u85cf\u7b49\u529f\u80fd\u63d0\u4f9b\u8eab\u4efd\u6807\u8bc6，\u5b9e\u73b0\u201c\u4e00\u4eba\u4e00\u7b56\u201d\u7684\u670d\u52a1\u4f53\u9a8c\u3002<\/li>\n

    \u6574\u4f53\u800c\u8a00，\u5e73\u53f0\u65e2\u6ee1\u8db3\u666e\u901a\u7528\u6237\u201c\u770b\u6570\u636e\u3001\u627e\u597d\u7247\u201d\u7684\u9700\u6c42，\u53c8\u4e3a\u5f71\u89c6\u4ece\u4e1a\u8005\u63d0\u4f9b\u7968\u623f\u9884\u6d4b\u3001\u5e02\u573a\u5206\u6790\u7684\u51b3\u7b56\u5de5\u5177，\u8fd8\u4e3a\u7ba1\u7406\u8005\u63d0\u4f9b\u6570\u636e\u7ba1\u63a7\u80fd\u529b，\u5b9e\u73b0\u4e86\u201c\u7528\u6237\u4f53\u9a8c\u3001\u4e1a\u52a1\u652f\u6491\u3001\u7ba1\u7406\u6548\u7387\u201d\u7684\u4e09\u91cd\u4ef7\u503c，\u662f\u8fde\u63a5\u7535\u5f71\u6570\u636e\u4e0e\u7528\u6237\u9700\u6c42\u7684\u9ad8\u6548\u6865\u6881\u3002<\/p>\n

    4\u3001\u6838\u5fc3\u4ee3\u7801<\/h3>\n

    #!\/usr\/bin\/python<\/span>
    \n# -*- coding: UTF-8 -*-<\/span>
    \nfrom<\/span> math import<\/span> sqrt
    \nimport<\/span> operator<\/p>\n

    #1.\u6784\u5efa\u7528\u6237–>\u7535\u5f71\u7684\u5012\u6392<\/span>
    \ndef<\/span> loadData<\/span>(<\/span>files)<\/span>:<\/span>
    \n data =<\/span>{<\/span>}<\/span>;<\/span>
    \n for<\/span> line in<\/span> files:<\/span>
    \n user,<\/span>score,<\/span>item=<\/span>line.<\/span>split(<\/span>","<\/span>)<\/span>;<\/span>
    \n data.<\/span>setdefault(<\/span>user,<\/span>{<\/span>}<\/span>)<\/span>;<\/span>
    \n data[<\/span>user]<\/span>[<\/span>item]<\/span>=<\/span>score;<\/span>
    \n return<\/span> data<\/p>\n

    #2.\u8ba1\u7b97<\/span>
    \n# 2.1 \u6784\u9020\u7535\u5f71–>\u7535\u5f71\u7684\u5171\u73b0\u77e9\u9635<\/span>
    \n# 2.2 \u8ba1\u7b97\u7535\u5f71\u4e0e\u7535\u5f71\u7684\u76f8\u4f3c\u77e9\u9635<\/span>
    \ndef<\/span> similarity<\/span>(<\/span>data)<\/span>:<\/span>
    \n # 2.1 \u6784\u9020\u7535\u5f71：\u7535\u5f71\u7684\u5171\u73b0\u77e9\u9635<\/span>
    \n N=<\/span>{<\/span>}<\/span>;<\/span>#\u559c\u6b22\u7535\u5f71i\u7684\u603b\u4eba\u6570<\/span>
    \n C=<\/span>{<\/span>}<\/span>;<\/span>#\u559c\u6b22\u7535\u5f71i\u4e5f\u559c\u6b22\u7535\u5f71j\u7684\u4eba\u6570<\/span>
    \n for<\/span> user,<\/span>item in<\/span> data.<\/span>items(<\/span>)<\/span>:<\/span>
    \n for<\/span> i,<\/span>score in<\/span> item.<\/span>items(<\/span>)<\/span>:<\/span>
    \n N.<\/span>setdefault(<\/span>i,<\/span>0<\/span>)<\/span>;<\/span>
    \n N[<\/span>i]<\/span>+=<\/span>1<\/span>;<\/span>
    \n C.<\/span>setdefault(<\/span>i,<\/span>{<\/span>}<\/span>)<\/span>;<\/span>
    \n for<\/span> j,<\/span>scores in<\/span> item.<\/span>items(<\/span>)<\/span>:<\/span>
    \n if<\/span> j not<\/span> in<\/span> i:<\/span>
    \n C[<\/span>i]<\/span>.<\/span>setdefault(<\/span>j,<\/span>0<\/span>)<\/span>;<\/span>
    \n C[<\/span>i]<\/span>[<\/span>j]<\/span>+=<\/span>1<\/span>;<\/span><\/p>\n

    #2.2 \u8ba1\u7b97\u7535\u5f71\u4e0e\u7535\u5f71\u7684\u76f8\u4f3c\u77e9\u9635<\/span>
    \n W=<\/span>{<\/span>}<\/span>;<\/span>
    \n for<\/span> i,<\/span>item in<\/span> C.<\/span>items(<\/span>)<\/span>:<\/span>
    \n W.<\/span>setdefault(<\/span>i,<\/span>{<\/span>}<\/span>)<\/span>;<\/span>
    \n for<\/span> j,<\/span>item2 in<\/span> item.<\/span>items(<\/span>)<\/span>:<\/span>
    \n W[<\/span>i]<\/span>.<\/span>setdefault(<\/span>j,<\/span>0<\/span>)<\/span>;<\/span>
    \n W[<\/span>i]<\/span>[<\/span>j]<\/span>=<\/span>C[<\/span>i]<\/span>[<\/span>j]<\/span>\/<\/span>sqrt(<\/span>N[<\/span>i]<\/span>*<\/span>N[<\/span>j]<\/span>)<\/span>;<\/span>
    \n return<\/span> W<\/p>\n

    #3.\u6839\u636e\u7528\u6237\u7684\u5386\u53f2\u8bb0\u5f55，\u7ed9\u7528\u6237\u63a8\u8350\u7535\u5f71<\/span>
    \ndef<\/span> recommandList<\/span>(<\/span>data,<\/span>W,<\/span>user,<\/span>k=<\/span>3<\/span>,<\/span>N=<\/span>10<\/span>)<\/span>:<\/span>
    \n rank=<\/span>{<\/span>}<\/span>;<\/span>
    \n for<\/span> i,<\/span>score in<\/span> data[<\/span>user]<\/span>.<\/span>items(<\/span>)<\/span>:<\/span>#\u83b7\u5f97\u7528\u6237user\u5386\u53f2\u8bb0\u5f55，\u5982A\u7528\u6237\u7684\u5386\u53f2\u8bb0\u5f55\u4e3a{'a': '1', 'b': '1', 'd': '1'}<\/span>
    \n for<\/span> j,<\/span>w in<\/span> sorted<\/span>(<\/span>W[<\/span>i]<\/span>.<\/span>items(<\/span>)<\/span>,<\/span>key=<\/span>operator.<\/span>itemgetter(<\/span>1<\/span>)<\/span>,<\/span>reverse=<\/span>True<\/span>)<\/span>[<\/span>0<\/span>:<\/span>k]<\/span>:<\/span>#\u83b7\u5f97\u4e0e\u7535\u5f71i\u76f8\u4f3c\u7684k\u4e2a\u7535\u5f71<\/span>
    \n if<\/span> j not<\/span> in<\/span> data[<\/span>user]<\/span>.<\/span>keys(<\/span>)<\/span>:<\/span>#\u8be5\u76f8\u4f3c\u7684\u7535\u5f71\u4e0d\u5728\u7528\u6237user\u7684\u8bb0\u5f55\u91cc<\/span>
    \n rank.<\/span>setdefault(<\/span>j,<\/span>0<\/span>)<\/span>;<\/span>
    \n rank[<\/span>j]<\/span>+=<\/span>float<\/span>(<\/span>score)<\/span> *<\/span> w;<\/span><\/p>\n

    return<\/span> sorted<\/span>(<\/span>rank.<\/span>items(<\/span>)<\/span>,<\/span>key=<\/span>operator.<\/span>itemgetter(<\/span>1<\/span>)<\/span>,<\/span>reverse=<\/span>True<\/span>)<\/span>[<\/span>0<\/span>:<\/span>N]<\/span>;<\/span><\/p>\n

    if<\/span> __name__==<\/span>'__main__'<\/span>:<\/span>
    \n #\u7528\u6237，\u5174\u8da3\u5ea6，\u7535\u5f71<\/span>
    \n uid_score_bid =<\/span> [<\/span>'A,1,a'<\/span>,<\/span> 'A,1,b'<\/span>,<\/span> 'A,1,d'<\/span>,<\/span> 'B,1,b'<\/span>,<\/span> 'B,1,c'<\/span>,<\/span> 'B,1,e'<\/span>]<\/span><\/p>\n

    # uid_score_bid = ['5,1,5','2,1,5', '2,1,38', '2,1,40', '2,1,44', '2,1,63', '2,1,107', '2,1,6', '2,1,14', '2,1,27', '2,1,32', '2,1,56', '2,1,77', '2,1,89', '2,1,92', '2,1,94', '2,1,111', '2,1,123', '2,1,124', '4,1,9', '4,1,15', '4,1,20', '4,1,22', '4,1,85', '4,1,95', '4,1,99', '4,1,131', '4,1,5', '4,1,38', '4,1,40', '4,1,44', '4,1,63', '4,1,107', '4,1,13', '4,1,17', '4,1,58', '4,1,8', '4,1,18', '4,1,21', '4,1,26', '4,1,34', '4,1,48', '4,1,51', '4,1,64', '4,1,70', '4,1,79', '4,1,84', '4,1,101', '4,1,106', '4,1,116', '4,1,117', '4,1,119', '4,1,126', '2,1,8', '2,1,18', '2,1,21', '2,1,26', '2,1,34', '2,1,48', '2,1,51', '2,1,64', '2,1,70', '2,1,79', '2,1,84', '2,1,101', '2,1,106', '2,1,116', '2,1,117', '2,1,119', '2,1,126']<\/span>
    \n # uid_score_bid = ['1,4,257', '1,4,62', '2,4,61', '2,4,64', '2,4,68', '2,4,67']<\/span><\/p>\n

    data=<\/span>loadData(<\/span>uid_score_bid)<\/span>;<\/span>#\u83b7\u5f97\u6570\u636e<\/span>
    \n W=<\/span>similarity(<\/span>data)<\/span>;<\/span>#\u8ba1\u7b97\u7535\u5f71\u76f8\u4f3c\u77e9\u9635<\/span>
    \n a =<\/span> recommandList(<\/span>data,<\/span>W,<\/span>'A'<\/span>,<\/span>5<\/span>,<\/span>10<\/span>)<\/span>;<\/span>#\u63a8\u8350<\/span>
    \n print<\/span>(<\/span>a)<\/span><\/p>\n

    5\u3001\u6e90\u7801\u83b7\u53d6\u65b9\u5f0f<\/h3>\n

    🍅\u7531\u4e8e\u7bc7\u5e45\u9650\u5236，\u83b7\u53d6\u5b8c\u6574\u6587\u7ae0\u6216\u6e90\u7801\u3001\u4ee3\u505a\u9879\u76ee\u7684，\u67e5\u770b\u3010\u7528\u6237\u540d\u3011\u3001\u3010\u4e13\u680f\u540d\u79f0\u3011\u5c31\u53ef\u4ee5\u627e\u5230\u6211\u5566🍅<\/p>\n

    \u611f\u5174\u8da3\u7684\u53ef\u4ee5\u5148\u6536\u85cf\u8d77\u6765，\u70b9\u8d5e\u3001\u5173\u6ce8\u4e0d\u8ff7\u8def，\u4e0b\u65b9\u67e5\u770b👇🏻\u83b7\u53d6\u8054\u7cfb\u65b9\u5f0f👇🏻<\/p>\n","protected":false},"excerpt":{"rendered":"

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