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MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale
  Recommendation Scenarios

MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios

27 December 2021
Xiaofeng Pan
Ming Li
Jing Zhang
Keren Yu
Luping Wang
Hong Wen
Chengjun Mao
Bo Cao
ArXivPDFHTML

Papers citing "MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios"

27 / 27 papers shown
Title
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for
  Image Recognition and Beyond
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond
Qiming Zhang
Yufei Xu
Jing Zhang
Dacheng Tao
ViT
60
231
0
21 Feb 2022
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
Yufei Xu
Qiming Zhang
Jing Zhang
Dacheng Tao
ViT
136
333
0
07 Jun 2021
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
32
39
0
20 Apr 2021
Delayed Feedback Modeling for the Entire Space Conversion Rate
  Prediction
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction
Yanshi Wang
Jie Zhang
Qing Da
Anxiang Zeng
33
19
0
24 Nov 2020
Empowering Things with Intelligence: A Survey of the Progress,
  Challenges, and Opportunities in Artificial Intelligence of Things
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
Jing Zhang
Dacheng Tao
76
466
0
17 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
464
40,217
0
22 Oct 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
320
1,950
0
11 Apr 2020
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic
  Segmentation
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation
Qiming Zhang
Jing Zhang
Wei Liu
Dacheng Tao
OOD
61
285
0
29 Oct 2019
MeLU: Meta-Learned User Preference Estimator for Cold-Start
  Recommendation
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation
Hoyeop Lee
Jinbae Im
Seongwon Jang
Hyunsouk Cho
Sehee Chung
27
360
0
31 Jul 2019
Sequential Scenario-Specific Meta Learner for Online Recommendation
Sequential Scenario-Specific Meta Learner for Online Recommendation
Zhengxiao Du
Xiaowei Wang
Hongxia Yang
Jingren Zhou
Jie Tang
OffRL
LRM
CLL
62
116
0
02 Jun 2019
Deep Interest Evolution Network for Click-Through Rate Prediction
Deep Interest Evolution Network for Click-Through Rate Prediction
Guorui Zhou
Na Mou
Ying Fan
Qi Pi
Weijie Bian
Chang Zhou
Xiaoqiang Zhu
Kun Gai
62
1,056
0
11 Sep 2018
Perceive Your Users in Depth: Learning Universal User Representations
  from Multiple E-commerce Tasks
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks
Yabo Ni
Dan Ou
Shichen Liu
Xiang Li
Wenwu Ou
Anxiang Zeng
Luo Si
51
140
0
28 May 2018
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in
  Recommendation System
Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System
Hong Wen
Jing Zhang
Quan Lin
Keping Yang
Pipei Huang
28
35
0
24 May 2018
Task-Agnostic Meta-Learning for Few-shot Learning
Task-Agnostic Meta-Learning for Few-shot Learning
Muhammad Abdullah Jamal
Guo-Jun Qi
M. Shah
79
461
0
20 May 2018
Entire Space Multi-Task Model: An Effective Approach for Estimating
  Post-Click Conversion Rate
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate
Xiao Ma
Liqin Zhao
Guan Huang
Zhi Wang
Zelin Hu
Xiaoqiang Zhu
Kun Gai
48
415
0
21 Apr 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
246
4,035
0
16 Nov 2017
Deep & Cross Network for Ad Click Predictions
Deep & Cross Network for Ad Click Predictions
Ruoxi Wang
Bin Fu
Gang Fu
Mingliang Wang
71
1,220
0
17 Aug 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Zhenguo Li
Fengwei Zhou
Fei Chen
Hang Li
90
1,114
0
31 Jul 2017
Deep Interest Network for Click-Through Rate Prediction
Deep Interest Network for Click-Through Rate Prediction
Guorui Zhou
Cheng-Ning Song
Xiaoqiang Zhu
Xi-Wang Dai
Ziru Xu
Xiao Ma
Yanghui Yan
Junqi Jin
Han Li
Kun Gai
64
1,814
0
21 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
526
129,831
0
12 Jun 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
255
8,072
0
15 Mar 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
99
2,625
0
13 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
781
11,793
0
09 Mar 2017
Meta Networks
Meta Networks
Tsendsuren Munkhdalai
Hong-ye Yu
GNN
AI4CE
91
1,064
0
02 Mar 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
327
7,299
0
13 Jun 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
518
37,815
0
09 Mar 2016
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
177
8,309
0
06 Nov 2014
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