A Practical Incremental Method to Train Deep CTR Models

A Practical Incremental Method to Train Deep CTR Models

4 September 2020

Ruiming Tang

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

5 / 5 papers shown

Title
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 Zhikai Wang Yanyan Shen Zibin Zhang Kangyi Lin 37 2 0 29 Apr 2025
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task Learning Qingtian Bian Jiaxing Xu Hui Fang Yiping Ke 24 7 0 09 Sep 2023
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table Huifeng Guo Wei Guo Yong Gao Ruiming Tang Xiuqiang He Wenzhi Liu 38 20 0 17 Apr 2021
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