|
|
|
:point_down:Feature Interaction Models |
|
|
1 |
WWW'07 |
LR |
Predicting Clicks: Estimating the Click-Through Rate for New Ads :triangular_flag_on_post:Microsoft |
:arrow_upper_right: |
torch |
2 |
ICDM'10 |
FM |
Factorization Machines |
:arrow_upper_right: |
torch |
3 |
CIKM'13 |
DSSM |
Learning Deep Structured Semantic Models for Web Search using Clickthrough Data :triangular_flag_on_post:Microsoft |
:arrow_upper_right: |
torch |
4 |
CIKM'15 |
CCPM |
A Convolutional Click Prediction Model |
:arrow_upper_right: |
torch |
5 |
RecSys'16 |
FFM |
Field-aware Factorization Machines for CTR Prediction :triangular_flag_on_post:Criteo |
:arrow_upper_right: |
torch |
6 |
RecSys'16 |
YoutubeDNN |
Deep Neural Networks for YouTube Recommendations :triangular_flag_on_post:Google |
:arrow_upper_right: |
torch , tf |
7 |
DLRS'16 |
Wide&Deep |
Wide & Deep Learning for Recommender Systems :triangular_flag_on_post:Google |
:arrow_upper_right: |
torch , tf |
8 |
ICDM'16 |
IPNN |
Product-based Neural Networks for User Response Prediction |
:arrow_upper_right: |
torch |
9 |
KDD'16 |
DeepCrossing |
Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features :triangular_flag_on_post:Microsoft |
:arrow_upper_right: |
torch |
10 |
NIPS'16 |
HOFM |
Higher-Order Factorization Machines |
:arrow_upper_right: |
torch |
11 |
IJCAI'17 |
DeepFM |
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction :triangular_flag_on_post:Huawei |
:arrow_upper_right: |
torch , tf |
12 |
SIGIR'17 |
NFM |
Neural Factorization Machines for Sparse Predictive Analytics |
:arrow_upper_right: |
torch |
13 |
IJCAI'17 |
AFM |
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks |
:arrow_upper_right: |
torch |
14 |
ADKDD'17 |
DCN |
Deep & Cross Network for Ad Click Predictions :triangular_flag_on_post:Google |
:arrow_upper_right: |
torch , tf |
15 |
WWW'18 |
FwFM |
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising :triangular_flag_on_post:Oath, TouchPal, LinkedIn, Alibaba |
:arrow_upper_right: |
torch |
16 |
KDD'18 |
xDeepFM |
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems :triangular_flag_on_post:Microsoft |
:arrow_upper_right: |
torch |
17 |
CIKM'19 |
FiGNN |
FiGNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction |
:arrow_upper_right: |
torch |
18 |
CIKM'19 |
AutoInt/AutoInt+ |
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks |
:arrow_upper_right: |
torch |
19 |
RecSys'19 |
FiBiNET |
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction :triangular_flag_on_post:Sina Weibo |
:arrow_upper_right: |
torch |
20 |
WWW'19 |
FGCNN |
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction :triangular_flag_on_post:Huawei |
:arrow_upper_right: |
torch |
21 |
AAAI'19 |
HFM/HFM+ |
Holographic Factorization Machines for Recommendation |
:arrow_upper_right: |
torch |
22 |
Arxiv'19 |
DLRM |
Deep Learning Recommendation Model for Personalization and Recommendation Systems :triangular_flag_on_post:Facebook |
:arrow_upper_right: |
torch |
23 |
NeuralNetworks'20 |
ONN |
Operation-aware Neural Networks for User Response Prediction |
:arrow_upper_right: |
torch |
24 |
AAAI'20 |
AFN/AFN+ |
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions |
:arrow_upper_right: |
torch |
25 |
AAAI'20 |
LorentzFM |
Learning Feature Interactions with Lorentzian Factorization :triangular_flag_on_post:eBay |
:arrow_upper_right: |
torch |
26 |
WSDM'20 |
InterHAt |
Interpretable Click-through Rate Prediction through Hierarchical Attention :triangular_flag_on_post:NEC Labs, Google |
:arrow_upper_right: |
torch |
27 |
DLP-KDD'20 |
FLEN |
FLEN: Leveraging Field for Scalable CTR Prediction :triangular_flag_on_post:Tencent |
:arrow_upper_right: |
torch |
28 |
CIKM'20 |
DeepIM |
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions :triangular_flag_on_post:Alibaba, RealAI |
:arrow_upper_right: |
torch |
29 |
WWW'21 |
FmFM |
FM^2: Field-matrixed Factorization Machines for Recommender Systems :triangular_flag_on_post:Yahoo |
:arrow_upper_right: |
torch |
30 |
WWW'21 |
DCN-V2 |
DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems :triangular_flag_on_post:Google |
:arrow_upper_right: |
torch |
31 |
CIKM'21 |
DESTINE |
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction :triangular_flag_on_post:Alibaba |
:arrow_upper_right: |
torch |
32 |
CIKM'21 |
EDCN |
Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models :triangular_flag_on_post:Huawei |
:arrow_upper_right: |
torch |
33 |
DLP-KDD'21 |
MaskNet |
MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask :triangular_flag_on_post:Sina Weibo |
:arrow_upper_right: |
torch |
34 |
SIGIR'21 |
SAM |
Looking at CTR Prediction Again: Is Attention All You Need? :triangular_flag_on_post:BOSS Zhipin |
:arrow_upper_right: |
torch |
35 |
KDD'21 |
AOANet |
Architecture and Operation Adaptive Network for Online Recommendations :triangular_flag_on_post:Didi Chuxing |
:arrow_upper_right: |
torch |
36 |
Blog'21 |
PPNet |
Parameter Personalized Net :triangular_flag_on_post:KuaiShou |
|
torch |
37 |
AAAI'23 |
FinalMLP |
FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction :triangular_flag_on_post:Huawei |
|
torch |
|
|
|
:point_down:User Behavior Modeling |
|
|
38 |
KDD'18 |
DIN |
Deep Interest Network for Click-Through Rate Prediction :triangular_flag_on_post:Alibaba |
|
torch |
39 |
AAAI'19 |
DIEN |
Deep Interest Evolution Network for Click-Through Rate Prediction :triangular_flag_on_post:Alibaba |
|
torch |
40 |
DLP-KDD'19 |
BST |
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba :triangular_flag_on_post:Alibaba |
|
torch |
41 |
CIKM'20 |
DMIN |
Deep Multi-Interest Network for Click-through Rate Prediction :triangular_flag_on_post:Alibaba |
|
torch |
42 |
AAAI'20 |
DMR |
Deep Match to Rank Model for Personalized Click-Through Rate Prediction :triangular_flag_on_post:Alibaba |
|
torch |
43 |
Arxiv'21 |
ETA |
End-to-End User Behavior Retrieval in Click-Through RatePrediction Model :triangular_flag_on_post:Alibaba |
|
torch |
44 |
CIKM'22 |
SDIM |
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction :triangular_flag_on_post:Meituan |
|
torch |