research
∙
08/22/2022
KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging
An industrial recommender system generally presents a hybrid list that c...
share
research
∙
12/21/2021
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction
Nowadays, data-driven deep neural models have already shown remarkable p...
research
∙
11/11/2020
CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction
Inspired by the success of deep learning, recent industrial Click-Throug...
research
∙
06/25/2019
Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling
Recently, click-through rate (CTR) prediction models have evolved from s...
research
∙
05/22/2019
Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction
Click-through rate (CTR) prediction is critical for industrial applicati...
research
∙
05/02/2019
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction
User response prediction, which models the user preference w.r.t. the pr...
research
∙
09/11/2018
Deep Interest Evolution Network for Click-Through Rate Prediction
Click-through rate (CTR) prediction, whose goal is to estimate the proba...
research
∙
08/14/2017
