{"id":3140,"date":"2025-05-14T21:17:24","date_gmt":"2025-05-14T13:17:24","guid":{"rendered":"https:\/\/www.15zhi.net\/blog\/?p=3140"},"modified":"2025-05-14T21:17:24","modified_gmt":"2025-05-14T13:17:24","slug":"202505-%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-conversational-gold-evaluating-personalized-conversations-search-system-using-gold-nuggets","status":"publish","type":"post","link":"https:\/\/www.15zhi.net\/blog\/202505-%e8%ae%ba%e6%96%87%e7%a0%94%e8%af%bb-conversational-gold-evaluating-personalized-conversations-search-system-using-gold-nuggets\/","title":{"rendered":"202505 \u8bba\u6587\u7814\u8bfb-Conversational Gold: Evaluating Personalized Conversations Search System using Gold Nuggets"},"content":{"rendered":"\n

\u4f5c\u8005\uff1a<\/strong>\u00a0Zahra Abbasiantaeb, Simon Lupart, Leif Azzopardi, Jeffery Dalton, and Mohammad Aliannejadi\u00a0<\/p>\n\n\n\n

\u53d1\u8868\uff1a<\/strong>arXiv:2503.09902v1 [cs.IR]\u00a0<\/p>\n\n\n\n

\u65e5\u671f\uff1a<\/strong>\u00a02025\u5e743\u670812\u65e5 (\u63d0\u4ea4\u7248\u672c)<\/p>\n\n\n\n

\u4e00\u3001\u80cc\u666f<\/p>\n\n\n\n

\u4e2a\u6027\u5316\u5bf9\u8bdd\u5f0f\u641c\u7d22\u7cfb\u7edf (Personalized Conversational Search Systems) \u5728\u5927\u578b\u8bed\u8a00\u6a21\u578b (Large Language Models, LLMs) \u7684\u63a8\u52a8\u4e0b\u53d6\u5f97\u4e86\u663e\u8457\u8fdb\u5c55\u3002\u8fd9\u4e9b\u7cfb\u7edf\u80fd\u591f\u4e3a\u7528\u6237\u590d\u6742\u7684\u3001\u4e2a\u6027\u5316\u7684\u4fe1\u606f\u9700\u6c42\u68c0\u7d22\u4fe1\u606f\u5e76\u751f\u6210\u7b54\u6848\u3002\u7136\u800c\uff0c\u5bf9\u4e8e\u68c0\u7d22\u589e\u5f3a\u751f\u6210 (Retrieval Augmented Generation, RAG) \u7cfb\u7edf\u6240\u751f\u6210\u54cd\u5e94\u7684\u81ea\u52a8\u8bc4\u4f30\uff0c\u76ee\u524d\u4ecd\u662f\u4e00\u4e2a\u672a\u88ab\u5145\u5206\u7814\u7a76\u7684\u6311\u6218\u3002\u4f20\u7edf\u7684\u8bc4\u4f30\u65b9\u6cd5\u96be\u4ee5\u6355\u6349\u5bf9\u8bdd\u5f0f\u641c\u7d22\u4ee3\u7406 (Conversational Search Agents, CSAs) \u7684\u4ea4\u4e92\u6027\u3001\u52a8\u6001\u6027\u4ee5\u53ca\u9ad8\u5ea6\u4e2a\u6027\u5316\u7684\u7279\u70b9\u3002LLMs \u7684\u5d1b\u8d77\u4e0d\u4ec5\u6539\u53d8\u4e86\u4fe1\u606f\u68c0\u7d22 (Information Retrieval, IR) \u7684\u7814\u7a76\u683c\u5c40\uff0c\u4e5f\u5bf9\u8bc4\u4f30\u65b9\u6cd5\u63d0\u51fa\u4e86\u65b0\u7684\u8981\u6c42\uff0c\u4f7f\u5f97\u5bf9 RAG \u7cfb\u7edf\u8fd9\u7c7b\u590d\u6742\u7cfb\u7edf\u7684\u8bc4\u4f30\u6210\u4e3a\u5f53\u524d\u7814\u7a76\u7684\u8feb\u5207\u9700\u6c42\u3002<\/p>\n\n\n\n

\u4e8c\u3001\u521b\u65b0\u70b9<\/p>\n\n\n\n

\u672c\u7814\u7a76\u7684\u6838\u5fc3\u8d21\u732e\u5728\u4e8e\u5f15\u5165\u4e86\u4e00\u4e2a\u540d\u4e3a \u201cConversational Gold\u201d \u7684\u65b0\u8d44\u6e90\uff0c\u65e8\u5728\u89e3\u51b3\u4e2a\u6027\u5316\u5bf9\u8bdd\u5f0f RAG \u7cfb\u7edf\u7684\u8bc4\u4f30\u96be\u9898\u3002\u5176\u4e3b\u8981\u521b\u65b0\u70b9\u5305\u62ec\uff1a<\/p>\n\n\n\n

    \n
  1. \u57fa\u4e8e \u201cGold Nuggets\u201d \u7684\u8bc4\u4f30\u6846\u67b6\uff1a<\/strong>\u00a0\u63d0\u51fa\u4f7f\u7528\u201c\u9ec4\u91d1\u4fe1\u606f\u91d1\u5757 (Gold Nuggets)\u201d\u2014\u2014\u5373\u4ece\u76f8\u5173\u6bb5\u843d\u4e2d\u63d0\u53d6\u7684\u7b80\u6d01\u3001\u6838\u5fc3\u7684\u4fe1\u606f\u7247\u6bb5\u2014\u2014\u4f5c\u4e3a\u81ea\u52a8\u8bc4\u4f30\u751f\u6210\u7b54\u6848\u5185\u5bb9\u8986\u76d6\u5ea6\u548c\u51c6\u786e\u6027\u7684\u57fa\u7840\u3002<\/li>\n\n\n\n
  2. \u6269\u5c55\u7684 TREC iKAT 2024 \u6570\u636e\u96c6\uff1a<\/strong>\u00a0\u5728 TREC iKAT 2023 \u7684\u57fa\u7840\u4e0a\u8fdb\u884c\u4e86\u6269\u5c55\uff0c\u5305\u542b\u4e86\u66f4\u4e30\u5bcc\u7684\u5bf9\u8bdd\u6570\u636e\u3001\u6bb5\u843d\u76f8\u5173\u6027\u8bc4\u4f30\u3001\u63d0\u53d6\u7684 \u201cgold nuggets\u201d\uff0c\u4ee5\u53ca\u7531 NIST \u8bc4\u4f30\u5458\u624b\u52a8\u7f16\u5199\u7684\u201c\u9ec4\u91d1\u7b54\u6848 (gold answers)\u201d\uff0c\u4e3a\u8bc4\u4f30\u63d0\u4f9b\u4e86\u575a\u5b9e\u7684\u57fa\u51c6\u3002<\/li>\n\n\n\n
  3. \u591a\u7ef4\u5ea6\u8bc4\u4f30\u8003\u91cf\uff1a<\/strong>\n
      \n
    • \u5f15\u5165\u201c\u4e0d\u53ef\u56de\u7b54\u7684\u95ee\u9898 (Unanswerable Questions)\u201d\u4ee5\u8bc4\u4f30\u6a21\u578b\u7684\u201c\u5e7b\u89c9\u201d (hallucination) \u73b0\u8c61\u3002<\/li>\n\n\n\n
    • \u6269\u5c55\u4e86\u201c\u7528\u6237\u753b\u50cf (User Personas)\u201d\uff0c\u4e3a\u8bc4\u4f30\u7cfb\u7edf\u5728\u4e0d\u540c\u4e0a\u4e0b\u6587\u548c\u4e2a\u6027\u5316\u9700\u6c42\u4e0b\u7684\u8868\u73b0\u63d0\u4f9b\u4e86\u66f4\u4e30\u5bcc\u7684\u573a\u666f\u3002<\/li>\n\n\n\n
    • \u5c06\u4e2a\u4eba\u6587\u672c\u77e5\u8bc6\u5e93 (Personal Text Knowledge Base, PTKB) \u7684\u5904\u7406\u4ece\u4f20\u7edf\u7684\u6392\u5e8f (ranking) \u4efb\u52a1\u8f6c\u53d8\u4e3a\u66f4\u590d\u6742\u7684\u5206\u7c7b (classification) \u548c\u9009\u62e9 (selection) \u4efb\u52a1\uff0c\u4ee5\u66f4\u8d34\u8fd1\u771f\u5b9e\u4e2a\u6027\u5316\u573a\u666f\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n

      \u4e09\u3001\u67b6\u6784\u4e0e\u65b9\u6cd5 <\/p>\n\n\n\n

      \"\"<\/figure>\n\n\n\n

      \u201cConversational Gold\u201d \u7684\u6838\u5fc3\u662f\u4e00\u4e2a\u7efc\u5408\u6027\u7684\u8bc4\u4f30\u8d44\u6e90\u548c\u6846\u67b6\uff0c\u5176\u4e3b\u8981\u6784\u6210\u5982\u4e0b\uff1a<\/p>\n\n\n\n

        \n
      • TREC iKAT 2024 \u6570\u636e\u96c6\u6784\u6210\uff1a<\/strong>\n
          \n
        • \u5bf9\u8bdd (Conversations):<\/strong>\u00a0\u5305\u542b17\u4e2a\u5b8c\u6574\u7684\u7528\u6237\u4e0e\u7cfb\u7edf\u7684\u591a\u8f6e\u5bf9\u8bdd\u3002<\/li>\n\n\n\n
        • \u6bb5\u843d\u8bc4\u4f30 (Passage Assessments):<\/strong>\u00a0\u5bf9\u8bdd\u4e2d\u6d89\u53ca\u768420,575\u4e2a\u6bb5\u843d\u8fdb\u884c\u4e86\u76f8\u5173\u6027\u8bc4\u4f30\u3002<\/li>\n\n\n\n
        • \u9ec4\u91d1\u4fe1\u606f\u91d1\u5757 (Extracted Gold Nuggets):<\/strong>\u00a0\u4ece\u76f8\u5173\u6bb5\u843d\u4e2d\u63d0\u53d6\u4e862,279\u4e2a\u5173\u952e\u4fe1\u606f\u91d1\u5757\u3002<\/li>\n\n\n\n
        • \u9ec4\u91d1\u7b54\u6848 (Manually Written Gold Answers):<\/strong>\u00a0\u5305\u542b62\u4e2a\u7531NIST\u8bc4\u4f30\u5458\u9488\u5bf9\u7279\u5b9a\u95ee\u9898\u624b\u52a8\u64b0\u5199\u7684\u7406\u60f3\u7b54\u6848\uff0c\u4f5c\u4e3a\u8bc4\u4f30\u7684\u6700\u9ad8\u6807\u51c6\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n
        • \u57fa\u4e8e\u201c\u91d1\u5757\u201d\u7684\u8bc4\u4f30\u6d41\u7a0b\uff1a<\/strong>\n
            \n
          1. \u91d1\u5757\u63d0\u53d6 (Nugget Extraction):<\/strong>\u00a0\u4ece\u7cfb\u7edf\u751f\u6210\u7684\u7b54\u6848\u4e2d\u8bc6\u522b\u51fa\u5305\u542b\u7684\u5173\u952e\u4fe1\u606f\u70b9\u3002<\/li>\n\n\n\n
          2. \u91d1\u5757\u5339\u914d (Nugget Matching):<\/strong>\u00a0\u5c06\u63d0\u53d6\u51fa\u7684\u4fe1\u606f\u91d1\u5757\u4e0e\u9884\u5b9a\u4e49\u7684\u201c\u9ec4\u91d1\u4fe1\u606f\u91d1\u5757\u201d\u8fdb\u884c\u5339\u914d\uff0c\u4ee5\u91cf\u5316\u7b54\u6848\u7684\u4fe1\u606f\u8986\u76d6\u5ea6\u548c\u51c6\u786e\u6027\u3002<\/li>\n\n\n\n
          3. \u5173\u8054\u68c0\u7d22\u6027\u80fd (Linked to Retrieval):<\/strong>\u00a0\u8bc4\u4f30\u8fc7\u7a0b\u4f1a\u8003\u8651\u4e0a\u6e38\u68c0\u7d22\u6a21\u5757\u7684\u6027\u80fd\uff0c\u56e0\u4e3a\u9ad8\u8d28\u91cf\u7684\u751f\u6210\u4f9d\u8d56\u4e8e\u51c6\u786e\u7684\u68c0\u7d22\u3002<\/li>\n<\/ol>\n<\/li>\n<\/ul>\n\n\n\n

            \u6240\u6709\u76f8\u5173\u8d44\u6e90\u5747\u5df2\u5728 GitHub (irlabamsterdam\/CONE-RAG) \u516c\u5f00\uff0c\u4fbf\u4e8e\u7814\u7a76\u793e\u533a\u4f7f\u7528\u548c\u8fdb\u4e00\u6b65\u5f00\u53d1\u3002<\/p>\n\n\n\n

            \u56db\u3001\u5b9e\u9a8c\u8bbe\u7f6e<\/p>\n\n\n\n

            \u8be5\u8d44\u6e90\u548c\u6846\u67b6\u4e3b\u8981\u7528\u4e8e\u652f\u6301\u4ee5\u4e0b\u65b9\u9762\u7684\u5b9e\u9a8c\u4e0e\u8bc4\u4f30\uff1a<\/p>\n\n\n\n

              \n
            • RAG \u7cfb\u7edf\u7efc\u5408\u6027\u80fd\uff1a<\/strong>\u00a0\u8bc4\u4f30 RAG \u7cfb\u7edf\u5728\u4e2a\u6027\u5316\u5bf9\u8bdd\u573a\u666f\u4e0b\uff0c\u4ece\u4fe1\u606f\u68c0\u7d22\u5230\u7b54\u6848\u751f\u6210\u6574\u4e2a\u6d41\u7a0b\u7684\u7aef\u5230\u7aef\u6709\u6548\u6027\u3002<\/li>\n\n\n\n
            • \u7b54\u6848\u5185\u5bb9\u8d28\u91cf\uff1a<\/strong>\u00a0\u5229\u7528 \u201cgold nuggets\u201d \u548c \u201cgold answers\u201d \u7cbe\u786e\u8bc4\u4f30\u751f\u6210\u7b54\u6848\u7684\u4fe1\u606f\u8986\u76d6\u5ea6\u3001\u4e8b\u5b9e\u51c6\u786e\u6027 (factuality) \u548c\u76f8\u5173\u6027 (relevance)\u3002<\/li>\n\n\n\n
            • \u6a21\u578b\u9c81\u68d2\u6027\uff1a<\/strong>\u00a0\u901a\u8fc7\u201c\u4e0d\u53ef\u56de\u7b54\u7684\u95ee\u9898\u201d\u6765\u8861\u91cf\u6a21\u578b\u5728\u9762\u5bf9\u77e5\u8bc6\u8fb9\u754c\u5916\u95ee\u9898\u65f6\u7684\u5904\u7406\u80fd\u529b\uff0c\u7279\u522b\u662f\u5176\u4ea7\u751f\u201c\u5e7b\u89c9\u201d\u7684\u503e\u5411\u3002<\/li>\n\n\n\n
            • \u4e2a\u6027\u5316\u80fd\u529b\uff1a<\/strong>\u00a0\u501f\u52a9\u201c\u6269\u5c55\u7684\u7528\u6237\u753b\u50cf\u201d\u548c PTKB \u5206\u7c7b\/\u9009\u62e9\u4efb\u52a1\uff0c\u8bc4\u4f30\u7cfb\u7edf\u6839\u636e\u7528\u6237\u7279\u5b9a\u80cc\u666f\u548c\u504f\u597d\u8c03\u6574\u5176\u884c\u4e3a\u548c\u54cd\u5e94\u7684\u80fd\u529b\u3002<\/li>\n\n\n\n
            • \u957f\u683c\u5f0f\u7b54\u6848\u751f\u6210\uff1a<\/strong>\u00a0\u4e13\u6ce8\u4e8e\u5bf9\u590d\u6742\u4fe1\u606f\u9700\u6c42\u4ea7\u751f\u7684\u957f\u7bc7\u5e45\u3001\u7ed3\u6784\u5316\u7b54\u6848\u7684\u8bc4\u4f30\u3002<\/li>\n<\/ul>\n\n\n\n

              \u4e94\u3001\u5b9e\u9a8c\u7ed3\u679c<\/p>\n\n\n\n

              \"\"<\/figure>\n\n\n\n

              \u201cConversational Gold\u201d \u8d44\u6e90\u7684\u63d0\u51fa\u9884\u8ba1\u5c06\u5e26\u6765\u4ee5\u4e0b\u91cd\u8981\u6210\u679c\u548c\u5b66\u672f\u610f\u4e49\uff1a<\/p>\n\n\n\n

                \n
              • \u63a8\u52a8\u4e2a\u6027\u5316\u5bf9\u8bdd\u8bc4\u4f30\u7814\u7a76\uff1a<\/strong>\u00a0\u4e3a\u7814\u7a76\u793e\u533a\u63d0\u4f9b\u4e00\u4e2a\u6807\u51c6\u5316\u7684\u3001\u5177\u6709\u6311\u6218\u6027\u7684\u6d4b\u8bd5\u5e73\u53f0\uff0c\u4fc3\u8fdb\u5bf9\u4e2a\u6027\u5316\u5bf9\u8bdd\u5f0f\u641c\u7d22\u7cfb\u7edf\u8bc4\u4f30\u65b9\u6cd5\u7684\u7814\u7a76\u548c\u521b\u65b0\u3002<\/li>\n\n\n\n
              • \u63d0\u5347 RAG \u7cfb\u7edf\u8bc4\u4f30\u7cbe\u5ea6\uff1a<\/strong>\u00a0\u901a\u8fc7\u5f15\u5165\u7ec6\u7c92\u5ea6\u7684\u201cgold nuggets\u201d\u548c\u9ad8\u8d28\u91cf\u7684\u201cgold answers\u201d\uff0c\u80fd\u591f\u66f4\u51c6\u786e\u5730\u91cf\u5316 RAG \u7cfb\u7edf\u5728\u4fe1\u606f\u4f20\u9012\u65b9\u9762\u7684\u4f18\u7f3a\u70b9\u3002<\/li>\n\n\n\n
              • \u4fc3\u8fdb\u53ef\u590d\u73b0\u7814\u7a76\uff1a<\/strong>\u00a0\u516c\u5f00\u7684\u6570\u636e\u96c6\u548c\u8bc4\u4f30\u6846\u67b6\u6709\u52a9\u4e8e\u63d0\u5347\u7814\u7a76\u7684\u53ef\u590d\u73b0\u6027\uff0c\u5e76\u52a0\u901f\u65b0\u6280\u672f\u7684\u8fed\u4ee3\u3002<\/li>\n\n\n\n
              • \u6307\u5bfc\u7cfb\u7edf\u4f18\u5316\uff1a<\/strong>\u00a0\u8bc4\u4f30\u7ed3\u679c\u53ef\u4ee5\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u660e\u786e\u7684\u6307\u5bfc\uff0c\u5e2e\u52a9\u4ed6\u4eec\u8bc6\u522b\u5f53\u524d\u7cfb\u7edf\u7684\u74f6\u9888\uff08\u4f8b\u5982\uff0c\u68c0\u7d22\u4e0d\u8db3\u3001\u751f\u6210\u5185\u5bb9\u504f\u79bb\u3001\u4e2a\u6027\u5316\u7a0b\u5ea6\u4e0d\u591f\u7b49\uff09\uff0c\u5e76\u8fdb\u884c\u9488\u5bf9\u6027\u4f18\u5316\u3002<\/li>\n\n\n\n
              • \u6df1\u5316\u5bf9\u590d\u6742\u5bf9\u8bdd\u73b0\u8c61\u7684\u7406\u89e3\uff1a<\/strong>\u00a0\u901a\u8fc7\u5bf9\u5305\u542b\u6df7\u5408\u4e3b\u52a8\u6027\u3001\u4e0a\u4e0b\u6587\u4f9d\u8d56\u548c\u4e2a\u6027\u5316\u9700\u6c42\u7684\u771f\u5b9e\u5bf9\u8bdd\u8fdb\u884c\u5206\u6790\u548c\u8bc4\u4f30\uff0c\u52a0\u6df1\u5bf9\u590d\u6742\u4eba\u673a\u5bf9\u8bdd\u73b0\u8c61\u7684\u7406\u89e3\u3002<\/li>\n<\/ul>\n\n\n\n

                \u516d\u3001\u603b\u7ed3<\/p>\n\n\n\n

                \u8bba\u6587 “Conversational Gold” \u6210\u529f\u5f15\u5165\u4e86\u4e00\u5957\u521b\u65b0\u7684\u8d44\u6e90\u548c\u8bc4\u4f30\u6846\u67b6\uff0c\u4e13\u95e8\u7528\u4e8e\u5e94\u5bf9\u4e2a\u6027\u5316\u5bf9\u8bdd\u5f0f\u641c\u7d22\u7cfb\u7edf\uff08\u7279\u522b\u662f RAG \u7cfb\u7edf\uff09\u6240\u9762\u4e34\u7684\u8bc4\u4f30\u6311\u6218\u3002\u901a\u8fc7\u6784\u5efa\u5305\u542b \u201cgold nuggets\u201d\u3001\u201cgold answers\u201d\u3001\u201cunanswerable questions\u201d \u548c \u201cexpanded user personas\u201d \u7684 TREC iKAT 2024 \u6269\u5c55\u6570\u636e\u96c6\uff0c\u8be5\u7814\u7a76\u4e3a\u81ea\u52a8\u3001\u7ec6\u81f4\u5730\u8bc4\u4f30\u7cfb\u7edf\u54cd\u5e94\u7684\u68c0\u7d22\u6709\u6548\u6027\u548c\u751f\u6210\u76f8\u5173\u6027\u5960\u5b9a\u4e86\u575a\u5b9e\u57fa\u7840\u3002<\/p>\n\n\n\n

                \u8fd9\u9879\u5de5\u4f5c\u4e0d\u4ec5\u4e3a\u7814\u7a76\u8005\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5b9d\u8d35\u7684\u516c\u5171\u8d44\u6e90\uff0c\u4e5f\u4e3a\u5f00\u53d1\u8005\u6307\u660e\u4e86\u63d0\u5347\u7cfb\u7edf\u6027\u80fd\u7684\u65b9\u5411\u3002\u672a\u6765\uff0c\u57fa\u4e8e\u6b64\u6846\u67b6\u7684\u7814\u7a76\u53ef\u4ee5\u8fdb\u4e00\u6b65\u63a2\u7d22\u66f4\u590d\u6742\u7684 \u201cnugget matching\u201d \u7b97\u6cd5\uff0c\u6269\u5c55\u6570\u636e\u96c6\u4ee5\u8986\u76d6\u66f4\u591a\u6837\u5316\u7684\u5bf9\u8bdd\u573a\u666f\u548c\u8bed\u8a00\uff0c\u5e76\u6df1\u5165\u7814\u7a76\u8bc4\u4f30\u5bf9\u8bdd\u8fde\u8d2f\u6027 (coherence)\u3001\u7528\u6237\u53c2\u4e0e\u5ea6 (engagement) \u7b49\u66f4\u9ad8\u7ea7\u7684\u5bf9\u8bdd\u8d28\u91cf\u7ef4\u5ea6\u3002\u603b\u4f53\u800c\u8a00\uff0c\u201cConversational Gold\u201d \u4e3a\u63a8\u52a8\u4e2a\u6027\u5316\u5bf9\u8bdd\u68c0\u7d22\u6280\u672f\u7684\u53d1\u5c55\u548c\u843d\u5730\u5e94\u7528\u8fc8\u51fa\u4e86\u91cd\u8981\u4e00\u6b65\u3002<\/p>\n\n\n\n

                <\/p>\n","protected":false},"excerpt":{"rendered":"

                \u4f5c\u8005\uff1a\u00a0Zahra Abbasiantaeb, Simon Lupart, Leif Azzopardi, J […]<\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3140","post","type-post","status-publish","format-standard","hentry","category-events"],"_links":{"self":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/3140","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/comments?post=3140"}],"version-history":[{"count":2,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/3140\/revisions"}],"predecessor-version":[{"id":3150,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/posts\/3140\/revisions\/3150"}],"wp:attachment":[{"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/media?parent=3140"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/categories?post=3140"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.15zhi.net\/blog\/wp-json\/wp\/v2\/tags?post=3140"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}