{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T05:49:20Z","timestamp":1762062560941,"version":"build-2065373602"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T00:00:00Z","timestamp":1650844800000},"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":[[2022,4,25]]},"DOI":"10.1145\/3487553.3524670","type":"proceedings-article","created":{"date-parts":[[2022,8,16]],"date-time":"2022-08-16T22:41:30Z","timestamp":1660689690000},"page":"910-917","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Multi-touch Attribution for Complex B2B Customer Journeys using Temporal Convolutional Networks"],"prefix":"10.1145","author":[{"given":"Aniket","family":"Agrawal","sequence":"first","affiliation":[{"name":"Adobe Systems, India"}]},{"given":"Nikhil","family":"Sheoran","sequence":"additional","affiliation":[{"name":"University of Illinois at Urbana-Champaign, USA"}]},{"given":"Sourav","family":"Suman","sequence":"additional","affiliation":[{"name":"Adobe Systems, India"}]},{"given":"Gaurav","family":"Sinha","sequence":"additional","affiliation":[{"name":"Adobe Research, India"}]}],"member":"320","published-online":{"date-parts":[[2022,8,16]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Blake\u00a0Brysha Amy\u00a0Abascal. 2015. The Definitive Guide to Multi-touch Revenue Attribution. Brightfunnel. http:\/\/www.brightfunnel.com\/resources\/ebooks\/BrightFunnel_Definitive_Guide_To_MultiTouch_Attribution.pdf  Blake\u00a0Brysha Amy\u00a0Abascal. 2015. The Definitive Guide to Multi-touch Revenue Attribution. Brightfunnel. http:\/\/www.brightfunnel.com\/resources\/ebooks\/BrightFunnel_Definitive_Guide_To_MultiTouch_Attribution.pdf"},{"key":"e_1_3_2_1_2_1","volume-title":"On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation. PLOS ONE 10, 7 (07","author":"Bach Sebastian","year":"2015","unstructured":"Sebastian Bach , Alexander Binder , Gr\u00e9goire Montavon , Frederick Klauschen , Klaus-Robert M\u00fcller , and Wojciech Samek . 2015. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation. PLOS ONE 10, 7 (07 2015 ), 1\u201346. https:\/\/doi.org\/10.1371\/journal.pone.0130140 10.1371\/journal.pone.0130140 Sebastian Bach, Alexander Binder, Gr\u00e9goire Montavon, Frederick Klauschen, Klaus-Robert M\u00fcller, and Wojciech Samek. 2015. On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation. PLOS ONE 10, 7 (07 2015), 1\u201346. https:\/\/doi.org\/10.1371\/journal.pone.0130140"},{"volume-title":"5 Ways the Future of B2B Buying Will Rewrite the Rules of Effective Selling. Gartner","author":"Brent\u00a0Adamson Nick\u00a0Toman","key":"e_1_3_2_1_3_1","unstructured":"Nick\u00a0Toman Brent\u00a0Adamson . 2020. 5 Ways the Future of B2B Buying Will Rewrite the Rules of Effective Selling. Gartner , Inc . https:\/\/emtemp.gcom.cloud\/ngw\/globalassets\/en\/sales-service\/documents\/trends\/5-ways-the-future-of-b2b-buying.pdf Nick\u00a0Toman Brent\u00a0Adamson. 2020. 5 Ways the Future of B2B Buying Will Rewrite the Rules of Effective Selling. Gartner, Inc. https:\/\/emtemp.gcom.cloud\/ngw\/globalassets\/en\/sales-service\/documents\/trends\/5-ways-the-future-of-b2b-buying.pdf"},{"volume-title":"B2B Marketing Attribution 101. Bizible","author":"Con Jordan","key":"e_1_3_2_1_4_1","unstructured":"Jordan Con . 2016. B2B Marketing Attribution 101. Bizible , Inc . https:\/\/engage.marketo.com\/rs\/460-TDH-945\/images\/BZ-B2B-Marketing-Attribution-101-ebook.pdf Jordan Con. 2016. B2B Marketing Attribution 101. Bizible, Inc. https:\/\/engage.marketo.com\/rs\/460-TDH-945\/images\/BZ-B2B-Marketing-Attribution-101-ebook.pdf"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2351356.2351363"},{"volume-title":"Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network. Research Papers 3761","author":"Du Ruihuan","key":"e_1_3_2_1_6_1","unstructured":"Ruihuan Du , Yu Zhong , Harikesh\u00a0 S. Nair , Bo Cui , and Ruyang Shou . 2019. Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network. Research Papers 3761 . Stanford University , Graduate School of Business. https:\/\/ideas.repec.org\/p\/ecl\/stabus\/3761.html Ruihuan Du, Yu Zhong, Harikesh\u00a0S. Nair, Bo Cui, and Ruyang Shou. 2019. Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network. Research Papers 3761. Stanford University, Graduate School of Business. https:\/\/ideas.repec.org\/p\/ecl\/stabus\/3761.html"},{"key":"e_1_3_2_1_7_1","unstructured":"Matt Halchak. 2017. 2017 B2B Buyer\u2019s Survey Report Demand Gen Reports. DemandBase. https:\/\/www.demandgenreport.com\/resources\/research\/2017-b2b-buyers-survey-report\/  Matt Halchak. 2017. 2017 B2B Buyer\u2019s Survey Report Demand Gen Reports. DemandBase. https:\/\/www.demandgenreport.com\/resources\/research\/2017-b2b-buyers-survey-report\/"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/3298239.3298438"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.113"},{"key":"e_1_3_2_1_10_1","volume-title":"Austin Reiter, and Gregory\u00a0D. Hager","author":"Lea Colin","year":"2016","unstructured":"Colin Lea , Ren\u00e9 Vidal , Austin Reiter, and Gregory\u00a0D. Hager . 2016 . Temporal Convolutional Networks: A Unified Approach to Action Segmentation. In Computer Vision \u2013 ECCV 2016 Workshops, Gang Hua and Herv\u00e9 J\u00e9gou (Eds.). Springer International Publishing , Cham, 47\u201354. Colin Lea, Ren\u00e9 Vidal, Austin Reiter, and Gregory\u00a0D. Hager. 2016. Temporal Convolutional Networks: A Unified Approach to Action Segmentation. In Computer Vision \u2013 ECCV 2016 Workshops, Gang Hua and Herv\u00e9 J\u00e9gou (Eds.). Springer International Publishing, Cham, 47\u201354."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271677"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2599820"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020453"},{"key":"e_1_3_2_1_14_1","volume-title":"Shapley Meets Uniform: An Axiomatic Framework for Attribution in Online Advertising. In The World Wide Web Conference","author":"Singal Raghav","year":"2019","unstructured":"Raghav Singal , Omar Besbes , Antoine Desir , Vineet Goyal , and Garud Iyengar . 2019 . Shapley Meets Uniform: An Axiomatic Framework for Attribution in Online Advertising. In The World Wide Web Conference ( San Francisco, CA, USA) (WWW \u201919). Association for Computing Machinery, New York, NY, USA, 1713\u20131723. https:\/\/doi.org\/10.1145\/3308558.3313731 10.1145\/3308558.3313731 Raghav Singal, Omar Besbes, Antoine Desir, Vineet Goyal, and Garud Iyengar. 2019. Shapley Meets Uniform: An Axiomatic Framework for Attribution in Online Advertising. In The World Wide Web Conference (San Francisco, CA, USA) (WWW \u201919). Association for Computing Machinery, New York, NY, USA, 1713\u20131723. https:\/\/doi.org\/10.1145\/3308558.3313731"},{"key":"e_1_3_2_1_15_1","unstructured":"A\u00e4ron van\u00a0den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alexander Graves Nal Kalchbrenner Andrew Senior and Koray Kavukcuoglu. 2016. WaveNet: A Generative Model for Raw Audio. In Arxiv. https:\/\/arxiv.org\/abs\/1609.03499  A\u00e4ron van\u00a0den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alexander Graves Nal Kalchbrenner Andrew Senior and Koray Kavukcuoglu. 2016. WaveNet: A Generative Model for Raw Audio. In Arxiv. https:\/\/arxiv.org\/abs\/1609.03499"},{"key":"e_1_3_2_1_16_1","volume-title":"4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2-4, 2016, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http:\/\/arxiv.org\/abs\/1511","author":"Yu Fisher","year":"2016","unstructured":"Fisher Yu and Vladlen Koltun . 2016 . Multi-Scale Context Aggregation by Dilated Convolutions . In 4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2-4, 2016, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http:\/\/arxiv.org\/abs\/1511 .07122 Fisher Yu and Vladlen Koltun. 2016. Multi-Scale Context Aggregation by Dilated Convolutions. In 4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, May 2-4, 2016, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http:\/\/arxiv.org\/abs\/1511.07122"},{"key":"e_1_3_2_1_17_1","volume-title":"Multi-touch Attribution in Online Advertising with Survival Theory. In 2014 IEEE International Conference on Data Mining. 687\u2013696","author":"Zhang Ya","year":"2014","unstructured":"Ya Zhang , Yi Wei , and Jianbiao Ren . 2014 . Multi-touch Attribution in Online Advertising with Survival Theory. In 2014 IEEE International Conference on Data Mining. 687\u2013696 . https:\/\/doi.org\/10.1109\/ICDM.2014.130 10.1109\/ICDM.2014.130 Ya Zhang, Yi Wei, and Jianbiao Ren. 2014. Multi-touch Attribution in Online Advertising with Survival Theory. In 2014 IEEE International Conference on Data Mining. 687\u2013696. https:\/\/doi.org\/10.1109\/ICDM.2014.130"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330753"}],"event":{"name":"WWW '22: The ACM Web Conference 2022","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Virtual Event, Lyon France","acronym":"WWW '22"},"container-title":["Companion Proceedings of the Web Conference 2022"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3487553.3524670","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3487553.3524670","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:22Z","timestamp":1750188622000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3487553.3524670"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,25]]},"references-count":18,"alternative-id":["10.1145\/3487553.3524670","10.1145\/3487553"],"URL":"https:\/\/doi.org\/10.1145\/3487553.3524670","relation":{},"subject":[],"published":{"date-parts":[[2022,4,25]]},"assertion":[{"value":"2022-08-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}