Multi-View Multi-Task Campaign Embedding for Cold-Start Conversion Rate Forecasting
Author:
Affiliation:
1. the University of Kansas, Lawrence, KS, USA
2. Google, Mountain View, CA, USA
3. Snap Inc., Santa Monica, CA, USA
4. Yahoo Research, Sunnyvale, CA, USA
5. the Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Information Systems and Management,Information Systems
Link
http://xplorestaging.ieee.org/ielx7/6687317/10017386/09741334.pdf?arnumber=9741334
Reference49 articles.
1. Multi-view Convolutional Neural Networks for 3D Shape Recognition
2. Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency
3. Medical Concept Embedding with Time-Aware Attention
4. Joint Embedding of Query and Ad by Leveraging Implicit Feedback
5. Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising
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