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Multi-Level Deep Cascade Trees for Conversion Rate Prediction in
  Recommendation System

Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System

24 May 2018
Hong Wen
Jing Zhang
Quan Lin
Keping Yang
Pipei Huang
ArXivPDFHTML

Papers citing "Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System"

3 / 3 papers shown
Title
Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task
  Learning Method for Recommender System
Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System
Jie Zhou
Qian Yu
Chuanxian Luo
Jing Zhang
14
12
0
10 Feb 2023
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task
  Learning for Conversion Rate Prediction
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction
Hong Wen
Jing Zhang
Fuyu Lv
Wentian Bao
Tianyi Wang
Zulong Chen
14
39
0
20 Apr 2021
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition
  for Conversion Rate Prediction
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction
Hong Wen
Jing Zhang
Yuan Wang
Fuyu Lv
Wentian Bao
Quan Lin
Keping Yang
16
9
0
15 Oct 2019
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