DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving-Reference-Cited by-同舟云学术

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving

Published:2021-03-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th ACM International Conference on Web Search and Data Mining
language:
Short-container-title:

Author:

Deng Wei¹,Pan Junwei²,Zhou Tian²,Kong Deguang²,Flores Aaron²,Lin Guang¹

Affiliation:

1. Purdue University, West Lafayette, IN, USA

2. Yahoo Research, Sunnyvale, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3437963.3441727

Reference39 articles.

1. Interactive Advertising Bureau. 2020. IAB internet advertising revenue report. In Iab Pwc. 1--32. Interactive Advertising Bureau. 2020. IAB internet advertising revenue report. In Iab Pwc. 1--32.

2. Matthieu Courbariaux and Yoshua Bengio. 2016. BinaryNet: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1. CoRR. Matthieu Courbariaux and Yoshua Bengio. 2016. BinaryNet: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1. CoRR.

Cited by 44 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive Deep Neural Network for Click-Through Rate estimation;Expert Systems with Applications;2025-01

2. Towards a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation;Proceedings of the 15th ACM SIGOPS Asia-Pacific Workshop on Systems;2024-09-04

3. CETN: Contrast-enhanced Through Network for Click-Through Rate Prediction;ACM Transactions on Information Systems;2024-08-12

4. SqueezeNIC: Low-Latency In-NIC Compression for Distributed Deep Learning;Proceedings of the 2024 SIGCOMM Workshop on Networks for AI Computing;2024-08-04

5. Proof-of-Concept of a Flexible and High-Fidelity Approach to Distributed DNN Training Emulation;Proceedings of the 2024 SIGCOMM Workshop on Networks for AI Computing;2024-08-04