{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T22:34:17Z","timestamp":1783550057368,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,12,6]],"date-time":"2016-12-06T00:00:00Z","timestamp":1480982400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61521062"],"award-info":[{"award-number":["61521062"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2015AA015801"],"award-info":[{"award-number":["2015AA015801"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["12DZ2272600"],"award-info":[{"award-number":["12DZ2272600"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,12,6]]},"DOI":"10.1145\/3006299.3006328","type":"proceedings-article","created":{"date-parts":[[2016,12,1]],"date-time":"2016-12-01T19:23:23Z","timestamp":1480620203000},"page":"293-301","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Synergy and antagonism in online advertising"],"prefix":"10.1145","author":[{"given":"Jie","family":"Hou","sequence":"first","affiliation":[{"name":"Jiao Tong University, Shanghai,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ya","family":"Zhang","sequence":"additional","affiliation":[{"name":"Jiao Tong University, Shanghai,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao","family":"Gu","sequence":"additional","affiliation":[{"name":"Jiao Tong University, Shanghai,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2016,12,6]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2017: Digital ad spending to surpass tv. http:\/\/www.emarketer.com\/newsroom\/index.php\/2017-digital-ad-spending-surpass-tv 2016. {Online; accessed 31-May-2016}.  2017: Digital ad spending to surpass tv. http:\/\/www.emarketer.com\/newsroom\/index.php\/2017-digital-ad-spending-surpass-tv 2016. {Online; accessed 31-May-2016}."},{"key":"e_1_3_2_1_2_1","volume-title":"Media exposure through the funnel: A model of multi-stage attribution. Available at SSRN 2158421","author":"Abhishek V.","year":"2012","unstructured":"V. Abhishek , P. Fader , and K. Hosanagar . Media exposure through the funnel: A model of multi-stage attribution. Available at SSRN 2158421 , 2012 . V. Abhishek, P. Fader, and K. Hosanagar. Media exposure through the funnel: A model of multi-stage attribution. Available at SSRN 2158421, 2012."},{"key":"e_1_3_2_1_3_1","volume-title":"Beyond the last touch: Attribution in online advertising. Available at SSRN 2384211","author":"Berman R.","year":"2013","unstructured":"R. Berman . Beyond the last touch: Attribution in online advertising. Available at SSRN 2384211 , 2013 . R. Berman. Beyond the last touch: Attribution in online advertising. Available at SSRN 2384211, 2013."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2351356.2351363"},{"key":"e_1_3_2_1_5_1","unstructured":"K. Gaab. 5 rules-based attribution models pr pros should know. http:\/\/www.cision.com\/us\/2015\/06\/5-rules-based-attribution-models-pr-pros-should-know\/ 2015. {Online; accessed 31-May-2016}.  K. Gaab. 5 rules-based attribution models pr pros should know. http:\/\/www.cision.com\/us\/2015\/06\/5-rules-based-attribution-models-pr-pros-should-know\/ 2015. {Online; accessed 31-May-2016}."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCBI.2015.19"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1509\/jmr.13.0050"},{"key":"e_1_3_2_1_8_1","first-page":"476","volume-title":"Advances in Neural Information Processing Systems","author":"Loh P.-L.","year":"2013","unstructured":"P.-L. Loh and M. J. Wainwright . Regularized m-estimators with nonconvexity: Statistical and algorithmic theory for local optima . In Advances in Neural Information Processing Systems , pages 476 -- 484 , 2013 . P.-L. Loh and M. J. Wainwright. Regularized m-estimators with nonconvexity: Statistical and algorithmic theory for local optima. In Advances in Neural Information Processing Systems, pages 476--484, 2013."},{"key":"e_1_3_2_1_9_1","volume-title":"Survival analysis","author":"Miller R. G.","year":"2011","unstructured":"R. G. Miller Jr . Survival analysis , volume 66 . John Wiley & Sons , 2011 . R. G. Miller Jr. Survival analysis, volume 66. John Wiley & Sons, 2011."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1981.1056305"},{"key":"e_1_3_2_1_11_1","volume-title":"Temporal point processes the conditional intensity function","author":"Rasmussen J. G.","year":"2011","unstructured":"J. G. Rasmussen . Temporal point processes the conditional intensity function , 2011 . J. G. Rasmussen. Temporal point processes the conditional intensity function, 2011."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020453"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1287\/mnsc.2014.1952"},{"key":"e_1_3_2_1_14_1","volume-title":"Adadelta: an adaptive learning rate method. arXiv preprint arXiv:1212.5701","author":"Zeiler M. D.","year":"2012","unstructured":"M. D. Zeiler . Adadelta: an adaptive learning rate method. arXiv preprint arXiv:1212.5701 , 2012 . M. D. Zeiler. Adadelta: an adaptive learning rate method. arXiv preprint arXiv:1212.5701, 2012."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.130"},{"key":"e_1_3_2_1_16_1","first-page":"641","volume-title":"Learning social infectivity in sparse low-rank networks using multi-dimensional hawkes processes","author":"Zhou K.","year":"2013","unstructured":"K. Zhou , H. Zha , and L. Song . Learning social infectivity in sparse low-rank networks using multi-dimensional hawkes processes . pages 641 - 649 , 2013 . K. Zhou, H. Zha, and L. Song. Learning social infectivity in sparse low-rank networks using multi-dimensional hawkes processes. pages 641-649, 2013."},{"key":"e_1_3_2_1_17_1","first-page":"2595","volume-title":"Advances in neural information processing systems","author":"Zinkevich M.","year":"2010","unstructured":"M. Zinkevich , M. Weimer , L. Li , and A. J. Smola . Parallelized stochastic gradient descent . In Advances in neural information processing systems , pages 2595 - 2603 , 2010 . M. Zinkevich, M. Weimer, L. Li, and A. J. Smola. Parallelized stochastic gradient descent. In Advances in neural information processing systems, pages 2595-2603, 2010."}],"event":{"name":"UCC '16: 9th International Conference on Utility and Cloud Computing","location":"Shanghai China","acronym":"UCC '16","sponsor":["SIGHPC ACM Special Interest Group on High Performance Computing, Special Interest Group on High Performance Computing"]},"container-title":["Proceedings of the 3rd IEEE\/ACM International Conference on Big Data Computing, Applications and Technologies"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3006299.3006328","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3006299.3006328","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:39:38Z","timestamp":1750217978000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3006299.3006328"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12,6]]},"references-count":17,"alternative-id":["10.1145\/3006299.3006328","10.1145\/3006299"],"URL":"https:\/\/doi.org\/10.1145\/3006299.3006328","relation":{},"subject":[],"published":{"date-parts":[[2016,12,6]]},"assertion":[{"value":"2016-12-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}