Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising-Reference-Cited by-同舟云学术

Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising

Published:2019-07-25 Issue: Volume: Page:
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Container-title:Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
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Author:

Pan Junwei¹,Mao Yizhi¹,Ruiz Alfonso Lobos²,Sun Yu³,Flores Aaron¹

Affiliation:

1. Verizon Media, Sunnyvale, CA, USA

2. University of California, Berkeley, Berkeley, CA, USA

3. Indeed, San Francisco, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3292500.3330783

Reference32 articles.

1. Estimating rates of rare events with multiple hierarchies through scalable log-linear models

2. Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising

3. Ranking for the conversion funnel

4. Interactive Advertising Bureau. 2017. IAB internet advertising revenue report. https://www.iab.com/wp-content/uploads/2018/05/IAB-2017-Full-Year-Internet-Advertising-Revenue-Report.REV2_.pdf Interactive Advertising Bureau. 2017. IAB internet advertising revenue report. https://www.iab.com/wp-content/uploads/2018/05/IAB-2017-Full-Year-Internet-Advertising-Revenue-Report.REV2_.pdf

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