ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2009.02147
  4. Cited By
A Practical Incremental Method to Train Deep CTR Models

A Practical Incremental Method to Train Deep CTR Models

4 September 2020
Yichao Wang
Huifeng Guo
Ruiming Tang
Zhirong Liu
Xiuqiang He
    CLL
ArXivPDFHTML

Papers citing "A Practical Incremental Method to Train Deep CTR Models"

3 / 3 papers shown
Title
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
Zhikai Wang
Yanyan Shen
AI4TS
33
0
0
30 Apr 2025
Feature Staleness Aware Incremental Learning for CTR Prediction
Feature Staleness Aware Incremental Learning for CTR Prediction
Zhikai Wang
Yanyan Shen
Zibin Zhang
Kangyi Lin
32
2
0
29 Apr 2025
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep
  Learning Ads Systems
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems
Weijie Zhao
Deping Xie
Ronglai Jia
Yulei Qian
Rui Ding
Mingming Sun
P. Li
MoE
59
150
0
12 Mar 2020
1