{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T17:49:17Z","timestamp":1777657757752,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,8,13]],"date-time":"2017-08-13T00:00:00Z","timestamp":1502582400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,8,13]]},"DOI":"10.1145\/3097983.3098021","type":"proceedings-article","created":{"date-parts":[[2017,8,4]],"date-time":"2017-08-04T18:35:54Z","timestamp":1501871754000},"page":"1387-1395","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":246,"title":["TFX"],"prefix":"10.1145","author":[{"given":"Denis","family":"Baylor","sequence":"first","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Eric","family":"Breck","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Heng-Tze","family":"Cheng","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Noah","family":"Fiedel","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Chuan Yu","family":"Foo","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Zakaria","family":"Haque","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Salem","family":"Haykal","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Mustafa","family":"Ispir","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Vihan","family":"Jain","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Levent","family":"Koc","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Chiu Yuen","family":"Koo","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Lukasz","family":"Lew","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Clemens","family":"Mewald","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Akshay Naresh","family":"Modi","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Neoklis","family":"Polyzotis","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Sukriti","family":"Ramesh","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Sudip","family":"Roy","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Steven Euijong","family":"Whang","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Martin","family":"Wicke","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Jarek","family":"Wilkiewicz","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Xin","family":"Zhang","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]},{"given":"Martin","family":"Zinkevich","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2017,8,13]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng.","author":"Abadi Mart\u00edn","year":"2016","unstructured":"Mart\u00edn Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , Michael Isard , Manjunath Kudlur , Josh Levenberg , Rajat Monga , Sherry Moore , Derek Gordon Murray , Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2016 . TensorFlow: A System for Large-Scale Machine Learning OSDI. 265--283. Mart\u00edn Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2016. TensorFlow: A System for Large-Scale Machine Learning OSDI. 265--283."},{"key":"e_1_3_2_2_2_1","volume-title":"Rawashdeh","author":"Abousleiman Rami","year":"2013","unstructured":"Rami Abousleiman , Guangzhi Qu , and Osamah A . Rawashdeh . 2013 . North Atlantic Right Whale Contact Call Detection. CoRR Vol . abs\/1304.7851 (2013). Rami Abousleiman, Guangzhi Qu, and Osamah A. Rawashdeh. 2013. North Atlantic Right Whale Contact Call Detection. CoRR Vol. abs\/1304.7851 (2013)."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988454"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"crossref","unstructured":"Paul Covington Jay Adams and Emre Sargin. 2016. Deep Neural Networks for YouTube Recommendations. RecSys. 191--198. Paul Covington Jay Adams and Emre Sargin. 2016. Deep Neural Networks for YouTube Recommendations. RecSys. 191--198.","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_2_5_1","volume-title":"Identifying and attacking the saddle point problem in high-dimensional non-convex optimization. CoRR","author":"Dauphin Yann","year":"2014","unstructured":"Yann Dauphin , Razvan Pascanu , Caglar G\u00fclccehre , Kyunghyun Cho , Surya Ganguli , and Yoshua Bengio 2014. Identifying and attacking the saddle point problem in high-dimensional non-convex optimization. CoRR Vol. abs\/ 1406 .2572 ( 2014 ). Yann Dauphin, Razvan Pascanu, Caglar G\u00fclccehre, Kyunghyun Cho, Surya Ganguli, and Yoshua Bengio 2014. Identifying and attacking the saddle point problem in high-dimensional non-convex optimization. CoRR Vol. abs\/1406.2572 (2014)."},{"key":"e_1_3_2_2_6_1","volume-title":"Hyperloglog: The analysis of a near-optimal cardinality estimation algorithm AOFA.","author":"Flajolet Philippe","year":"2007","unstructured":"Philippe Flajolet , \u00c9ric Fusy , Olivier Gandouet , and 2007 . Hyperloglog: The analysis of a near-optimal cardinality estimation algorithm AOFA. Philippe Flajolet, \u00c9ric Fusy, Olivier Gandouet, and et al. 2007. Hyperloglog: The analysis of a near-optimal cardinality estimation algorithm AOFA."},{"key":"e_1_3_2_2_7_1","volume-title":"Jordan","author":"Kraska Tim","year":"2013","unstructured":"Tim Kraska , Ameet Talwalkar , John C. Duchi , Rean Griffith , Michael J. Franklin , and Michael I . Jordan 2013 . MLbase: A Distributed Machine-learning System. CIDR. Tim Kraska, Ameet Talwalkar, John C. Duchi, Rean Griffith, Michael J. Franklin, and Michael I. Jordan 2013. MLbase: A Distributed Machine-learning System. CIDR."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.14778\/2994509.2994514"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-015-0032-1"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"crossref","unstructured":"Cheng Li Yue Lu Qiaozhu Mei Dong Wang and Sandeep Pandey 2015. Click-through Prediction for Advertising in Twitter Timeline KDD. 1959--1968. Cheng Li Yue Lu Qiaozhu Mei Dong Wang and Sandeep Pandey 2015. Click-through Prediction for Advertising in Twitter Timeline KDD. 1959--1968.","DOI":"10.1145\/2783258.2788582"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2213836.2213958"},{"key":"e_1_3_2_2_12_1","volume-title":"Tom Boulos, and Jeremy Kubica","author":"McMahan H. Brendan","year":"2013","unstructured":"H. Brendan McMahan , Gary Holt , D. Sculley , Michael Young , Dietmar Ebner , Julian Grady , Lan Nie , Todd Phillips , Eugene Davydov , Daniel Golovin , Sharat Chikkerur , Dan Liu , Martin Wattenberg , Arnar Mar Hrafnkelsson , Tom Boulos, and Jeremy Kubica 2013 . Ad Click Prediction: A View from the Trenches. In KDD. 1222--1230. H. Brendan McMahan, Gary Holt, D. Sculley, Michael Young, Dietmar Ebner, Julian Grady, Lan Nie, Todd Phillips, Eugene Davydov, Daniel Golovin, Sharat Chikkerur, Dan Liu, Martin Wattenberg, Arnar Mar Hrafnkelsson, Tom Boulos, and Jeremy Kubica 2013. Ad Click Prediction: A View from the Trenches. In KDD. 1222--1230."},{"key":"e_1_3_2_2_13_1","volume-title":"MLlib: Machine Learning in Apache Spark. CoRR","author":"Meng Xiangrui","year":"2015","unstructured":"Xiangrui Meng , Joseph K. Bradley , Burak Yavuz , Evan R. Sparks , Shivaram Venkataraman , Davies Liu , Jeremy Freeman , D. B. Tsai , Manish Amde , Sean Owen , Doris Xin , Reynold Xin , Michael J. Franklin , Reza Zadeh , Matei Zaharia , and Ameet Talwalkar . 2015. MLlib: Machine Learning in Apache Spark. CoRR Vol. abs\/ 1505 .06807 ( 2015 ). Xiangrui Meng, Joseph K. Bradley, Burak Yavuz, Evan R. Sparks, Shivaram Venkataraman, Davies Liu, Jeremy Freeman, D. B. Tsai, Manish Amde, Sean Owen, Doris Xin, Reynold Xin, Michael J. Franklin, Reza Zadeh, Matei Zaharia, and Ameet Talwalkar. 2015. MLlib: Machine Learning in Apache Spark. CoRR Vol. abs\/1505.06807 (2015)."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/0304-3975(80)90061-4"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"e_1_3_2_2_16_1","unstructured":"D. Sculley Gary Holt Daniel Golovin Eugene Davydov Todd Phillips Dietmar Ebner Vinay Chaudhary Michael Young Jean-Franccois Crespo and Dan Dennison 2015. Hidden Technical Debt in Machine Learning Systems. NIPS. 2503--2511. D. Sculley Gary Holt Daniel Golovin Eugene Davydov Todd Phillips Dietmar Ebner Vinay Chaudhary Michael Young Jean-Franccois Crespo and Dan Dennison 2015. Hidden Technical Debt in Machine Learning Systems. NIPS. 2503--2511."},{"key":"e_1_3_2_2_17_1","volume-title":"KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics. CoRR","author":"Sparks Evan R.","year":"2016","unstructured":"Evan R. Sparks , Shivaram Venkataraman , Tomer Kaftan , Michael J. Franklin , and Benjamin Recht . 2016. KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics. CoRR Vol. abs\/ 1610 .09451 ( 2016 ). Evan R. Sparks, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, and Benjamin Recht. 2016. KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics. CoRR Vol. abs\/1610.09451 (2016)."},{"key":"e_1_3_2_2_18_1","unstructured":"Manasi Vartak Harihar Subramanyam Wei-En Lee Srinidhi Viswanathan Saadiyah Husnoo Samuel Madden and Matei Zaharia. 2016. ModelDB: a system for machine learning model management HILDA@SIGMOD. 14. Manasi Vartak Harihar Subramanyam Wei-En Lee Srinidhi Viswanathan Saadiyah Husnoo Samuel Madden and Matei Zaharia. 2016. ModelDB: a system for machine learning model management HILDA@SIGMOD. 14."},{"key":"e_1_3_2_2_19_1","volume-title":"Jianwei Xie, Lichan Hong, Martin Wicke, Mustafa Ispir, Philip Daniel Tucker, Yuan Tang, and Zakaria Haque","author":"Xia Cassandra","year":"2017","unstructured":"Cassandra Xia , Clemens Mewald , D. Sculley , David Soergel , George Roumpos , Heng-Tze Cheng , Illia Polosukhin , Jamie Alexander Smith , Jianwei Xie, Lichan Hong, Martin Wicke, Mustafa Ispir, Philip Daniel Tucker, Yuan Tang, and Zakaria Haque 2017 . Train and Distribute: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks. KDD ( under review). Cassandra Xia, Clemens Mewald, D. Sculley, David Soergel, George Roumpos, Heng-Tze Cheng, Illia Polosukhin, Jamie Alexander Smith, Jianwei Xie, Lichan Hong, Martin Wicke, Mustafa Ispir, Philip Daniel Tucker, Yuan Tang, and Zakaria Haque 2017. Train and Distribute: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks. KDD (under review)."},{"key":"e_1_3_2_2_20_1","unstructured":"Jason Yosinski Jeff Clune Yoshua Bengio and Hod Lipson. 2014. How transferable are features in deep neural networks? NIPS. 3320--3328. Jason Yosinski Jeff Clune Yoshua Bengio and Hod Lipson. 2014. How transferable are features in deep neural networks? NIPS. 3320--3328."},{"key":"e_1_3_2_2_21_1","volume-title":"Rules of Machine Learning. In NIPS Workshop on Reliable Machine Learning. Invited Talk.","author":"Zinkevich Martin","year":"2016","unstructured":"Martin Zinkevich . 2016 . Rules of Machine Learning. In NIPS Workshop on Reliable Machine Learning. Invited Talk. Martin Zinkevich. 2016. Rules of Machine Learning. In NIPS Workshop on Reliable Machine Learning. Invited Talk."}],"event":{"name":"KDD '17: The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"Halifax NS Canada","acronym":"KDD '17","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3098021","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3097983.3098021","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T20:38:04Z","timestamp":1750797484000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3097983.3098021"}},"subtitle":["A TensorFlow-Based Production-Scale Machine Learning Platform"],"short-title":[],"issued":{"date-parts":[[2017,8,13]]},"references-count":21,"alternative-id":["10.1145\/3097983.3098021","10.1145\/3097983"],"URL":"https:\/\/doi.org\/10.1145\/3097983.3098021","relation":{},"subject":[],"published":{"date-parts":[[2017,8,13]]},"assertion":[{"value":"2017-08-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}