{"id":398801,"date":"2017-07-25T09:41:37","date_gmt":"2017-07-25T16:41:37","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?post_type=msr-event&p=398801"},"modified":"2025-08-06T11:57:47","modified_gmt":"2025-08-06T18:57:47","slug":"microsoft-research-kdd-2017","status":"publish","type":"msr-event","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/event\/microsoft-research-kdd-2017\/","title":{"rendered":"Microsoft Research @ KDD 2017"},"content":{"rendered":"\n\n

Tutorials:<\/strong>\u00a0August 13, 2017<\/p>\n

Workshops:<\/strong> August 14, 2017Opens in a new tab<\/span><\/p>\n

Knowledge Discovery and Data Mining (KDD 2017 (opens in new tab)<\/span><\/a>) is a premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data. Microsoft Research is proud to be a platinum sponsor of the 2017 event in\u00a0Halifax, Nova Scotia on August 15\u201317.<\/p>\n

KDD 2017 will feature two adjacent and connected venues:<\/p>\n

\t\t\t

\n\t\t\t
\n\t\t\t\t\t
\n\t\t

\"KDD (opens in new tab)<\/span><\/a><\/p>

World Trade and Convention Centre (opens in new tab)<\/span><\/a><\/p>

\t<\/div>\n\t \t

\n\t\t<\/p>

\"KDD (opens in new tab)<\/span><\/a><\/p>

Scotiabank Centre (opens in new tab)<\/span><\/a><\/p>

\t<\/div>\n\t<\/p>\t\t\t<\/div>\n\t\t<\/div>\n\t\t<\/p>\n

Keynote talk<\/h2>\n

What’s Fair?<\/strong> (opens in new tab)<\/span><\/a>
\nCynthia Dwork, Distinguished Scientist
\nMicrosoft Research and Harvard UniversityOpens in a new tab<\/span><\/p>\n

Conventional Tutorials<\/h2>\n

Large Scale Hierarchical Classification: Foundations, Algorithms and Applications<\/strong>
\n<\/a><\/p>\n

Huzefa Rangwala, George Mason University
\nAzad Naik, Microsoft<\/p>\n

\n

A\/B Testing at Scale: Accelerating Software Innovation<\/strong>
\n<\/a><\/p>\n

Alex Deng, Microsoft
\nPavel Dmitriev, Microsoft
\nSomit Gupta, Microsoft
\nRon Kohavi, Microsoft
\nPaul Raff, Microsoft
\nLukas Vermeer, Booking.com<\/p>\n

\n

Making Better Use of the Crowd<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

Jennifer Wortman Vaughan<\/a>, Microsoft Research<\/p>\n

\n

A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

Alexandra Olteanu, IBM Research, US
\nEmre K\u0131c\u0131man<\/a>, Microsoft Research, US
\nCarlos Castillo, Eurecat, Spain
\nFernando Diaz, Microsoft Research, US<\/p>\n

\n

Urban Computing: Enabling Intelligent Cities with Big Data<\/strong> (opens in new tab)<\/span><\/a><\/p>\n

Yu Zheng<\/a>, Microsoft Research<\/p>\n

Hands-on Tutorials<\/h2>\n

Using R for Scalable Data Science: Single Machines to Hadoop Spark Clusters<\/strong> (opens in new tab)<\/span><\/a> | Wednesday PM<\/p>\n

Robert Horton,\u00a0Microsoft
\nMario Inchiosa,\u00a0Microsoft
\nVanja Paunic,\u00a0Microsoft
\nHang Zhang, Microsoft<\/p>\n

\n

Cloud based data mining tools for storage, distributed processing, and machine learning systems for scientific data<\/strong> | Thursday AM<\/p>\n

Vani Mandava<\/a>,\u00a0Microsoft Research
\nDennis Gannon, Indiana UniversityOpens in a new tab<\/span><\/p>\n

Accepted papers<\/h2>\n

Discrete Content-aware Matrix Factorization (opens in new tab)<\/span><\/a>
\nDefu Lian, University of Electronic Science and Technology of China; Rui Liu, University of Electronic Science and Technology of China; Yong Ge, University of Arizona; Kai Zheng, University of Queensland; Xing Xie<\/a>, Microsoft Research; Longbing Cao, University of Technology Sydney<\/p>\n

A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations (opens in new tab)<\/span><\/a>
\nYuxiao Dong, University of Notre Dame; Hao Ma<\/a>, Microsoft Research; Zhihong Shen, Microsoft Research; Kuansan Wang<\/a>, Microsoft Research<\/p>\n

Deep Embedding Forest: Forest-based Serving with Deep Embedding Features (opens in new tab)<\/span><\/a>
\nJie Zhu, Microsoft; Ying Shan, Microsoft; Jc Mao, Microsoft; Dong Yu, Microsoft; Holakou Rahmanian, University of California Santa Cruz; Yi Zhang, Microsoft<\/p>\n

A Dirty Dozen: Twelve Common Metric Interpretation Pitfalls in Online Controlled Experiments (opens in new tab)<\/span><\/a>
\nSomit Gupta, Microsoft; Pavel Dmitriev, Microsoft; Garnet Vaz, Microsoft; Dong Woo Kim, Microsoft<\/p>\n

Planning Bike Lanes based on Sharing-Bikes\u2019 Trajectories (opens in new tab)<\/span><\/a>
\nJie Bao<\/a>, Microsoft Research; Tianfu He, Harbin Institution of Technology; Sijie Ruan, Xidian University; Yanhua Li, Worcester Polytechnic Institute; Yu Zheng<\/a>, Microsoft Research<\/p>\n

Posters<\/h2>\n

Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting (opens in new tab)<\/span><\/a>
\nGuo-Jun Qi (UCF); Jiliang Tang (MSU); Jingdong Wang (Microsoft); Jiebo Luo (University of Rochester)<\/p>\n

ReasoNet: Learning to Stop Reading in Machine Comprehension (opens in new tab)<\/span><\/a>
\nYelong Shen, Microsoft Research; Po-Sen Huang, Microsoft Research; Jianfeng Gao<\/a>, Microsoft Research; Weizhu Chen, Microsoft Research<\/p>\n

DeepProbe: Information Directed Sequence Understanding via Recurrent Neural Networks (opens in new tab)<\/span><\/a>
\nZi Yin, Stanford University; Keng-Hao Chang, Microsoft; Ruofei Zhang, Stanford University<\/p>\n

Discovering Concepts Using Large Table Corpus (opens in new tab)<\/span><\/a>
\nKeqian Li, University of California, Santa Barbara; Yeye He<\/a>, Microsoft Research; Kris Ganjam, Microsoft ResearchOpens in a new tab<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Tutorials:\u00a0August 13, 2017 Workshops: August 14, 2017Opens in a new tab Knowledge Discovery and Data Mining (KDD 2017 (opens in new tab)) is a premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data. Microsoft Research is proud to be a platinum sponsor of […]<\/p>\n","protected":false},"featured_media":396212,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2017-08-15","msr_enddate":"2017-08-17","msr_location":"Halifax, Nova Scotia, Canada","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"http:\/\/www.kdd.org\/kdd2017\/registration","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":false,"msr_hide_image_in_river":0,"footnotes":""},"research-area":[13563],"msr-region":[197900],"msr-event-type":[197941],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-398801","msr-event","type-msr-event","status-publish","has-post-thumbnail","hentry","msr-research-area-data-platform-analytics","msr-region-north-america","msr-event-type-conferences","msr-locale-en_us"],"msr_about":"\n\n

Tutorials:<\/strong>\u00a0August 13, 2017<\/p>\n

Workshops:<\/strong> August 14, 2017Opens in a new tab<\/span><\/p>\n

Knowledge Discovery and Data Mining (KDD 2017 (opens in new tab)<\/span><\/a>) is a premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data. Microsoft Research is proud to be a platinum sponsor of the 2017 event in\u00a0Halifax, Nova Scotia on August 15\u201317.<\/p>\n

KDD 2017 will feature two adjacent and connected venues:<\/p>\n

\t\t\t

\n\t\t\t
\n\t\t\t\t\t
\n\t\t

\"KDD (opens in new tab)<\/span><\/a><\/p>

World Trade and Convention Centre (opens in new tab)<\/span><\/a><\/p>

\t<\/div>\n\t \t

\n\t\t<\/p>

\"KDD (opens in new tab)<\/span><\/a><\/p>

Scotiabank Centre (opens in new tab)<\/span><\/a><\/p>

\t<\/div>\n\t<\/p>\t\t\t<\/div>\n\t\t<\/div>\n\t\t<\/p>\n

Keynote talk<\/h2>\n

What’s Fair?<\/strong> (opens in new tab)<\/span><\/a>
\nCynthia Dwork, Distinguished Scientist
\nMicrosoft Research and Harvard UniversityOpens in a new tab<\/span><\/p>\n

Conventional Tutorials<\/h2>\n

Large Scale Hierarchical Classification: Foundations, Algorithms and Applications<\/strong>
\n<\/a><\/p>\n

Huzefa Rangwala, George Mason University
\nAzad Naik, Microsoft<\/p>\n

\n

A\/B Testing at Scale: Accelerating Software Innovation<\/strong>
\n<\/a><\/p>\n

Alex Deng, Microsoft
\nPavel Dmitriev, Microsoft
\nSomit Gupta, Microsoft
\nRon Kohavi, Microsoft
\nPaul Raff, Microsoft
\nLukas Vermeer, Booking.com<\/p>\n

\n

Making Better Use of the Crowd<\/strong><\/a><\/p>\n

Jennifer Wortman Vaughan<\/a>, Microsoft Research<\/p>\n

\n

A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries<\/strong><\/a><\/p>\n

Alexandra Olteanu, IBM Research, US
\nEmre K\u0131c\u0131man<\/a>, Microsoft Research, US
\nCarlos Castillo, Eurecat, Spain
\nFernando Diaz, Microsoft Research, US<\/p>\n

\n

Urban Computing: Enabling Intelligent Cities with Big Data<\/strong><\/a><\/p>\n

Yu Zheng<\/a>, Microsoft Research<\/p>\n

Hands-on Tutorials<\/h2>\n

Using R for Scalable Data Science: Single Machines to Hadoop Spark Clusters<\/strong><\/a> | Wednesday PM<\/p>\n

Robert Horton,\u00a0Microsoft
\nMario Inchiosa,\u00a0Microsoft
\nVanja Paunic,\u00a0Microsoft
\nHang Zhang, Microsoft<\/p>\n

\n

Cloud based data mining tools for storage, distributed processing, and machine learning systems for scientific data<\/strong> | Thursday AM<\/p>\n

Vani Mandava<\/a>,\u00a0Microsoft Research
\nDennis Gannon, Indiana UniversityOpens in a new tab<\/span><\/p>\n

Accepted papers<\/h2>\n

Discrete Content-aware Matrix Factorization<\/a>
\nDefu Lian, University of Electronic Science and Technology of China; Rui Liu, University of Electronic Science and Technology of China; Yong Ge, University of Arizona; Kai Zheng, University of Queensland; Xing Xie<\/a>, Microsoft Research; Longbing Cao, University of Technology Sydney<\/p>\n

A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations<\/a>
\nYuxiao Dong, University of Notre Dame; Hao Ma<\/a>, Microsoft Research; Zhihong Shen, Microsoft Research; Kuansan Wang<\/a>, Microsoft Research<\/p>\n

Deep Embedding Forest: Forest-based Serving with Deep Embedding Features<\/a>
\nJie Zhu, Microsoft; Ying Shan, Microsoft; Jc Mao, Microsoft; Dong Yu, Microsoft; Holakou Rahmanian, University of California Santa Cruz; Yi Zhang, Microsoft<\/p>\n

A Dirty Dozen: Twelve Common Metric Interpretation Pitfalls in Online Controlled Experiments<\/a>
\nSomit Gupta, Microsoft; Pavel Dmitriev, Microsoft; Garnet Vaz, Microsoft; Dong Woo Kim, Microsoft<\/p>\n

Planning Bike Lanes based on Sharing-Bikes\u2019 Trajectories<\/a>
\nJie Bao<\/a>, Microsoft Research; Tianfu He, Harbin Institution of Technology; Sijie Ruan, Xidian University; Yanhua Li, Worcester Polytechnic Institute; Yu Zheng<\/a>, Microsoft Research<\/p>\n

Posters<\/h2>\n

Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting<\/a>
\nGuo-Jun Qi (UCF); Jiliang Tang (MSU); Jingdong Wang (Microsoft); Jiebo Luo (University of Rochester)<\/p>\n

ReasoNet: Learning to Stop Reading in Machine Comprehension<\/a>
\nYelong Shen, Microsoft Research; Po-Sen Huang, Microsoft Research; Jianfeng Gao<\/a>, Microsoft Research; Weizhu Chen, Microsoft Research<\/p>\n

DeepProbe: Information Directed Sequence Understanding via Recurrent Neural Networks<\/a>
\nZi Yin, Stanford University; Keng-Hao Chang, Microsoft; Ruofei Zhang, Stanford University<\/p>\n

Discovering Concepts Using Large Table Corpus<\/a>
\nKeqian Li, University of California, Santa Barbara; Yeye He<\/a>, Microsoft Research; Kris Ganjam, Microsoft ResearchOpens in a new tab<\/span><\/p>\n","tab-content":[{"id":0,"name":"About","content":"Knowledge Discovery and Data Mining (KDD 2017<\/a>) is a premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data. Microsoft Research is proud to be a platinum sponsor of the 2017 event in\u00a0Halifax, Nova Scotia on August 15\u201317.\r\n\r\nKDD 2017 will feature two adjacent and connected venues:\r\n\r\n[row][column class=\"m-col-12-24\"]\r\n\r\n\"KDD<\/a>\r\n

World Trade and Convention Centre<\/a><\/p>\r\n[\/column] [column class=\"m-col-12-24\"]\r\n\r\n\"KDD<\/a>\r\n

Scotiabank Centre<\/a><\/p>\r\n[\/column][\/row]\r\n

Keynote talk<\/h2>\r\nWhat's Fair?<\/strong><\/a>\r\nCynthia Dwork, Distinguished Scientist\r\nMicrosoft Research and Harvard University"},{"id":1,"name":"Tutorials","content":"

Conventional Tutorials<\/h2>\r\nLarge Scale Hierarchical Classification: Foundations, Algorithms and Applications<\/strong>\r\n<\/a>\r\n\r\nHuzefa Rangwala, George Mason University\r\nAzad Naik, Microsoft\r\n\r\n
\r\n\r\nA\/B Testing at Scale: Accelerating Software Innovation<\/strong>\r\n<\/a>\r\n\r\nAlex Deng, Microsoft\r\nPavel Dmitriev, Microsoft\r\nSomit Gupta, Microsoft\r\nRon Kohavi, Microsoft\r\nPaul Raff, Microsoft\r\nLukas Vermeer, Booking.com\r\n\r\n
\r\n\r\nMaking Better Use of the Crowd<\/strong><\/a>\r\n\r\nJennifer Wortman Vaughan<\/a>, Microsoft Research\r\n\r\n
\r\n\r\nA Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries<\/strong><\/a>\r\n\r\nAlexandra Olteanu, IBM Research, US\r\nEmre K\u0131c\u0131man<\/a>, Microsoft Research, US\r\nCarlos Castillo, Eurecat, Spain\r\nFernando Diaz, Microsoft Research, US\r\n\r\n
\r\n\r\nUrban Computing: Enabling Intelligent Cities with Big Data<\/strong><\/a>\r\n\r\nYu Zheng<\/a>, Microsoft Research\r\n

Hands-on Tutorials<\/h2>\r\nUsing R for Scalable Data Science: Single Machines to Hadoop Spark Clusters<\/strong><\/a> | Wednesday PM\r\n\r\nRobert Horton,\u00a0Microsoft\r\nMario Inchiosa,\u00a0Microsoft\r\nVanja Paunic,\u00a0Microsoft\r\nHang Zhang, Microsoft\r\n\r\n
\r\n\r\nCloud based data mining tools for storage, distributed processing, and machine learning systems for scientific data<\/strong> | Thursday AM\r\n\r\nVani Mandava<\/a>,\u00a0Microsoft Research\r\nDennis Gannon, Indiana University"},{"id":2,"name":"Papers & Posters","content":"

Accepted papers<\/h2>\r\nDiscrete Content-aware Matrix Factorization<\/a>\r\nDefu Lian, University of Electronic Science and Technology of China; Rui Liu, University of Electronic Science and Technology of China; Yong Ge, University of Arizona; Kai Zheng, University of Queensland; Xing Xie<\/a>, Microsoft Research; Longbing Cao, University of Technology Sydney\r\n\r\nA Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations<\/a>\r\nYuxiao Dong, University of Notre Dame; Hao Ma<\/a>, Microsoft Research; Zhihong Shen, Microsoft Research; Kuansan Wang<\/a>, Microsoft Research\r\n\r\nDeep Embedding Forest: Forest-based Serving with Deep Embedding Features<\/a>\r\nJie Zhu, Microsoft; Ying Shan, Microsoft; Jc Mao, Microsoft; Dong Yu, Microsoft; Holakou Rahmanian, University of California Santa Cruz; Yi Zhang, Microsoft\r\n\r\nA Dirty Dozen: Twelve Common Metric Interpretation Pitfalls in Online Controlled Experiments<\/a>\r\nSomit Gupta, Microsoft; Pavel Dmitriev, Microsoft; Garnet Vaz, Microsoft; Dong Woo Kim, Microsoft\r\n\r\nPlanning Bike Lanes based on Sharing-Bikes\u2019 Trajectories<\/a>\r\nJie Bao<\/a>, Microsoft Research; Tianfu He, Harbin Institution of Technology; Sijie Ruan, Xidian University; Yanhua Li, Worcester Polytechnic Institute; Yu Zheng<\/a>, Microsoft Research\r\n

Posters<\/h2>\r\nMixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting<\/a>\r\nGuo-Jun Qi (UCF); Jiliang Tang (MSU); Jingdong Wang (Microsoft); Jiebo Luo (University of Rochester)\r\n\r\nReasoNet: Learning to Stop Reading in Machine Comprehension<\/a>\r\nYelong Shen, Microsoft Research; Po-Sen Huang, Microsoft Research; Jianfeng Gao<\/a>, Microsoft Research; Weizhu Chen, Microsoft Research\r\n\r\nDeepProbe: Information Directed Sequence Understanding via Recurrent Neural Networks<\/a>\r\nZi Yin, Stanford University; Keng-Hao Chang, Microsoft; Ruofei Zhang, Stanford University\r\n\r\nDiscovering Concepts Using Large Table Corpus<\/a>\r\nKeqian Li, University of California, Santa Barbara; Yeye He<\/a>, Microsoft Research; Kris Ganjam, Microsoft Research"}],"msr_startdate":"2017-08-15","msr_enddate":"2017-08-17","msr_event_time":"","msr_location":"Halifax, Nova Scotia, Canada","msr_event_link":"http:\/\/www.kdd.org\/kdd2017\/registration","msr_event_recording_link":"","msr_startdate_formatted":"August 15, 2017","msr_register_text":"Watch now","msr_cta_link":"http:\/\/www.kdd.org\/kdd2017\/registration","msr_cta_text":"Watch now","msr_cta_bi_name":"Event Register","featured_image_thumbnail":"\"KDD","event_excerpt":"Knowledge Discovery and Data Mining (KDD 2017) is a premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data. Microsoft Research is proud to be a platinum sponsor of the 2017 event in\u00a0Halifax, Nova Scotia on August 15\u201317. KDD 2017 will feature two adjacent and connected venues: Keynote talk What's Fair? Cynthia Dwork, Distinguished Scientist Microsoft Research and Harvard University","msr_research_lab":[],"related-researchers":[{"type":"guest","display_name":"Microsoft Research @ KDD 2017","user_id":0,"people_section":"Section name 1","alias":""}],"msr_impact_theme":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-opportunities":[],"related-publications":[],"related-videos":[],"related-posts":[],"_links":{"self":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/398801","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-event"}],"about":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-event"}],"version-history":[{"count":3,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/398801\/revisions"}],"predecessor-version":[{"id":1147155,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-event\/398801\/revisions\/1147155"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media\/396212"}],"wp:attachment":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media?parent=398801"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=398801"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=398801"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=398801"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=398801"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=398801"},{"taxonomy":"msr-program-audience","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-program-audience?post=398801"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=398801"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=398801"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}