{"id":1061967,"date":"2023-08-09T02:30:00","date_gmt":"2023-08-09T09:30:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-blog-post&p=1061967"},"modified":"2024-09-25T03:42:32","modified_gmt":"2024-09-25T10:42:32","slug":"xing-xie-societal-ai","status":"publish","type":"msr-blog-post","link":"https:\/\/www.microsoft.com\/en-us\/research\/articles\/xing-xie-societal-ai\/","title":{"rendered":"\u8c22\u5e78\uff1a\u505a\u7ecf\u5f97\u8d77\u65f6\u95f4\u68c0\u9a8c\u7684\u7814\u7a76\uff0c\u6253\u9020\u8d1f\u8d23\u4efb\u7684\u4eba\u5de5\u667a\u80fd"},"content":{"rendered":"\n

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<\/p>\n\n\n\n

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2021\u5e747\u6708\uff0c\u300a\u5728\u7269\u7406\u4e16\u754c\u77e5\u8bc6\u6307\u5bfc\u4e0b\u9a7e\u9a76\u300b\uff08Driving with Knowledge from the Physical World\uff09\u83b7\u5f97\u4e86 ACM \u6570\u636e\u6316\u6398\u4e2d\u56fd\u5206\u4f1a\uff08SIGKDD China Chapter\uff09\u9881\u53d1\u7684\u65f6\u95f4\u68c0\u9a8c\u5956\u3002\u8be5\u56e2\u961f\u901a\u8fc7\u5bf9\u51fa\u79df\u8f66\u8f68\u8ff9\u6570\u636e\u7684\u6df1\u5165\u7814\u7a76\uff0c\u8fdb\u800c\u6478\u7d22\u51fa\u4ea4\u901a\u6a21\u5f0f\u548c\u9a7e\u9a76\u5458\u7684\u884c\u4e3a\u6a21\u5f0f\uff0c\u8bbe\u8ba1\u4e86\u4e00\u79cd\u4e3a\u7528\u6237\u63d0\u4f9b\u5b9a\u5236\u5316\u5bfc\u822a\u8def\u7ebf\u7684\u670d\u52a1[1]\u3002<\/p>\n\n\n\n

\u53d1\u8868\u4e8e KDD 2012 \u7684\u8bba\u6587\u300a\u57fa\u4e8e\u4eba\u7c7b\u79fb\u52a8\u89c4\u5f8b\u548c\u5174\u8da3\u70b9\u7684\u57ce\u5e02\u529f\u80fd\u533a\u57df\u53d1\u73b0\u300b\uff08Discovering Regions of Different Functions in a City Using Human Mobility and POIs\uff09\u83b7\u5f97\u4e86 KDD 2022 \u65f6\u95f4\u68c0\u9a8c\u5956\u3002KDD \u4f1a\u8bae\u88ab\u8ba4\u4e3a\u662f\u53cd\u6620\u4e1a\u5185\u201c\u6700\u524d\u6cbf\u6570\u636e\u9886\u57df\u7814\u7a76\u98ce\u5411\u201d\uff0c\u88ab\u8a89\u4e3a\u201c\u5168\u7403\u6570\u636e\u6316\u6398\u6700\u9ad8\u7ea7\u522b\u7684\u5b66\u672f\u4f1a\u8bae\u201d\u4e4b\u4e00\u3002\u5728\u8fd9\u7bc7\u8bba\u6587\u4e2d\uff0c\u4f5c\u8005\u4eec\u57fa\u4e8e\u5927\u89c4\u6a21\u4eba\u7fa4\u79fb\u52a8\u6570\u636e\u4ee5\u53ca\u5730\u56fe\u5174\u8da3\u70b9\u6570\u636e\uff0c\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8e\u6570\u636e\u7684\u57ce\u5e02\u529f\u80fd\u5206\u533a\u81ea\u52a8\u53d1\u73b0\u65b9\u6cd5\uff0c\u4ece\u800c\u5e2e\u52a9\u4eba\u4eec\u66f4\u6df1\u5165\u5730\u7406\u89e3\u4e0d\u65ad\u6f14\u5316\u7684\u5927\u57ce\u5e02[2]\u3002<\/p>\n\n\n\n

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\u5728\u79fb\u52a8\u6570\u636e\u9886\u57df\u7684\u56fd\u9645\u5b66\u672f\u4f1a\u8bae IEEE MDM 2023 \u4e0a\uff0c\u8c22\u5e78\u56e2\u961f\u4e8e2010\u5e74\u53d1\u8868\u7684\u8bba\u6587\u300a\u4e00\u79cd\u57fa\u4e8e\u4ea4\u4e92\u5f0f\u6295\u7968\u7684\u5730\u56fe\u5339\u914d\u7b97\u6cd5\u300b\uff08An interactive-voting based map matching algorithm\uff09\u83b7\u5f97\u4e86\u65f6\u95f4\u68c0\u9a8c\u5956[3]\u3002\u5728\u8be5\u8bba\u6587\u4e2d\uff0c\u4e3a\u89e3\u51b3\u7528\u6237 GPS \u8f68\u8ff9\u8bed\u4e49\u7406\u89e3\u4e2d\u9762\u4e34\u7684\u4f4e\u91c7\u6837\u7387\u6311\u6218\uff0c\u7814\u7a76\u4eba\u5458\u7814\u53d1\u4e86\u4e00\u79cd\u5730\u56fe\u5339\u914d\u7b97\u6cd5\u3002\u8be5\u7b97\u6cd5\u662f\u5728\u4ea4\u4e92\u6295\u7968\u57fa\u7840\u4e0a\u5b9e\u73b0\u7684\uff0c\u6839\u636e\u771f\u5b9e\u8f68\u8ff9\u6570\u636e\u96c6\u4e0a\u7684\u5b9e\u9a8c\uff0c\u7b97\u6cd5\u5927\u5e45\u5730\u63d0\u9ad8\u4e86\u5339\u914d\u6027\u80fd\u3002<\/p>\n\n\n\n

\u540e\u6765\uff0c\u8be5\u56e2\u961f\u91cd\u70b9\u7814\u7a76\u7684\u65b9\u5411\u4e3a\u793e\u4ea4\u7f51\u7edc\u6570\u636e\u548c\u4e2a\u6027\u5316\u63a8\u8350\uff0c\u66f4\u52a0\u6df1\u5165\u7406\u89e3\u4eba\u7c7b\u7528\u6237\u3002\u6700\u8fd1\uff0c\u4ed6\u4eec\u805a\u7126\u4e8e\u793e\u4f1a\u8d23\u4efb\u4eba\u5de5\u667a\u80fd\u65b9\u5411\uff0c\u4ece\u5bf9\u4eba\u7c7b\u81ea\u8eab\u7684\u6df1\u5165\u7406\u89e3\u65b9\u5411\u8c03\u6574\u4e3a\u5bf9\u4eba\u548c AI \u540c\u65f6\u8fdb\u884c\u6df1\u5165\u7406\u89e3\uff0c\u4ece\u800c\u8ba9 AI \u5728\u672a\u6765\u4e0e\u4eba\u548c\u8c10\u76f8\u5904\u3002<\/p>\n\n\n\n

\u8c08\u53ca AI \u53d1\u5c55\u7684\u672a\u6765\uff0c\u8c22\u5e78\u8868\u793a\uff0c\u672a\u6765\u662f\u4eba\u548c AI \u5171\u751f\u7684\u793e\u4f1a\uff0cAI \u4f1a\u5b8c\u6210\u5f88\u591a\u4ece\u524d\u4eba\u7c7b\u505a\u7684\u4e8b\u60c5\uff0c\u5b83\u4f1a\u8f85\u52a9\u4eba\u7c7b\u5b8c\u6210\u5177\u6709\u521b\u9020\u529b\u6216\u6311\u6218\u6027\u7684\u5de5\u4f5c\uff0c\u4f8b\u5982\u73b0\u5728\u79d1\u5b66\u5bb6\u5df2\u7ecf\u5f00\u59cb\u501f\u52a9 AI \u8f85\u52a9\u8fdb\u884c\u79d1\u5b66\u7814\u7a76\u7b49\u3002\u201c\u6211\u4eec\u5e0c\u671b\u672a\u6765 AI \u53ef\u4ee5\u53d1\u5c55\u4e3a\u4e00\u4e2a\u5b89\u5168\u7684\u5de5\u5177\u548c\u52a9\u624b\uff0c\u5b83\u7684\u4ef7\u503c\u89c2\u4e0e\u4eba\u7c7b\u662f\u5bf9\u9f50\u7684\uff0c\u800c\u4e14\u5b83\u7684\u4ea7\u51fa\u662f\u53ef\u4ee5\u4fe1\u4efb\u7684\uff0c\u662f\u4eba\u7c7b\u53ef\u63a7\u7684\u52a9\u624b\u3002\u201d<\/p>\n\n\n\n

\u53c2\u8003\u8d44\u6599\uff1a<\/p>\n\n\n\n

1. Jing Yuan et al.\u2002Driving with Knowledge from the Physical World. ACM SIGKDD international conference on Knowledge discovery and data mining, 2011s, 316\u2013324 https:\/\/doi.org\/10.1145\/2020408.2020462<\/p>\n\n\n\n

2. Jing Yuan et al. Discovering Regions of Different Functions in a City Using Human Mobility and POIs. ACM SIGKDD international conference on Knowledge discovery and data mining, 2012, 186\u2013194 https:\/\/doi.org\/10.1145\/2339530.2339561<\/p>\n\n\n\n

3. Jing Yuan et al. An interactive-voting based map matching algorithm. IEEE MDM 2023. https:\/\/doi.org\/10.1109\/MDM.2010.14<\/p>\n","protected":false},"excerpt":{"rendered":"

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