{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:13:01Z","timestamp":1750306381125,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":6,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,8,13]],"date-time":"2016-08-13T00:00:00Z","timestamp":1471046400000},"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":[[2016,8,13]]},"DOI":"10.1145\/2939672.2945388","type":"proceedings-article","created":{"date-parts":[[2016,8,8]],"date-time":"2016-08-08T18:33:46Z","timestamp":1470681226000},"page":"2139-2140","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Business Applications of Predictive Modeling at Scale"],"prefix":"10.1145","author":[{"given":"Qiang","family":"Zhu","sequence":"first","affiliation":[{"name":"LinkedIn, Mountain View, CA, USA"}]},{"given":"Songtao","family":"Guo","sequence":"additional","affiliation":[{"name":"LinkedIn, Mountain View, CA, USA"}]},{"given":"Paul","family":"Ogilvie","sequence":"additional","affiliation":[{"name":"LinkedIn, Mountain View, CA, USA"}]},{"given":"Yan","family":"Liu","sequence":"additional","affiliation":[{"name":"LinkedIn, Mountain View, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2016,8,13]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623362"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2788614"},{"key":"e_1_3_2_2_3_1","volume-title":"November 17, 2015. Retrieved","author":"Lebanon G.","year":"2015","unstructured":"Lebanon , G. 2015 . Making Your Feed More Relevant -- Part I . November 17, 2015. Retrieved June 12, 2016 from https:\/\/engineering.linkedin.com\/blog\/2015\/11\/making-your-feed-more-relevant--part-i Lebanon, G. 2015. Making Your Feed More Relevant -- Part I. November 17, 2015. Retrieved June 12, 2016 from https:\/\/engineering.linkedin.com\/blog\/2015\/11\/making-your-feed-more-relevant--part-i"},{"key":"e_1_3_2_2_4_1","volume-title":"March 15, 2016. Retrieved","author":"Lebanon G.","year":"2016","unstructured":"Lebanon , G. 2016 . Making Your Feed More Relevant -- Part 2: Relevance models and features . March 15, 2016. Retrieved June 12, 2016 from https:\/\/engineering.linkedin.com\/blog\/2016\/03\/making-your-feed-more-relevant--part-2--relevance-models-and-fea Lebanon, G. 2016. Making Your Feed More Relevant -- Part 2: Relevance models and features. March 15, 2016. Retrieved June 12, 2016 from https:\/\/engineering.linkedin.com\/blog\/2016\/03\/making-your-feed-more-relevant--part-2--relevance-models-and-fea"},{"key":"e_1_3_2_2_5_1","volume-title":"July, 2015. Retrieved","author":"Rosenberg C.","year":"2015","unstructured":"Rosenberg , C. 2015 . B2B Predictive Analytics Technology Report: Best practices, tools, and vendor evaluations to help marketing and sales organizations adopt predictive analytics . July, 2015. Retrieved June 12, 2016 from Infer : https:\/\/www.infer.com\/wp-content\/uploads\/2015\/08\/TOPO-Predictive-Analytics-08-03--15.pdf Rosenberg, C. 2015. B2B Predictive Analytics Technology Report: Best practices, tools, and vendor evaluations to help marketing and sales organizations adopt predictive analytics. July, 2015. Retrieved June 12, 2016 from Infer: https:\/\/www.infer.com\/wp-content\/uploads\/2015\/08\/TOPO-Predictive-Analytics-08-03--15.pdf"},{"volume-title":"Machine Learning: The High-Interest Credit Card of Technical Debt. Software Engineering for Machine Learning (NIPS 2014 Workshop).","author":"Sculley D.","key":"e_1_3_2_2_6_1","unstructured":"Sculley , D. , Holt , G. , Golovin , D. , Davydov , E. , Phillips , T. , Ebner , D. , Chaudhary , V. , and Young , M . 2014 . Machine Learning: The High-Interest Credit Card of Technical Debt. Software Engineering for Machine Learning (NIPS 2014 Workshop). Sculley, D., Holt, G., Golovin, D., Davydov, E., Phillips, T., Ebner, D., Chaudhary, V., and Young, M. 2014. Machine Learning: The High-Interest Credit Card of Technical Debt. Software Engineering for Machine Learning (NIPS 2014 Workshop)."}],"event":{"name":"KDD '16: The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"San Francisco California USA","acronym":"KDD '16"},"container-title":["Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2939672.2945388","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2939672.2945388","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:07:00Z","timestamp":1750223220000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2939672.2945388"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,8,13]]},"references-count":6,"alternative-id":["10.1145\/2939672.2945388","10.1145\/2939672"],"URL":"https:\/\/doi.org\/10.1145\/2939672.2945388","relation":{},"subject":[],"published":{"date-parts":[[2016,8,13]]},"assertion":[{"value":"2016-08-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}