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Modeling Two-Way Selection Preference for Person-Job
#68
nogawanogawa
closed
1 year ago
7
Reciprocal Recommender Systems: Analysis of State-of-Art Literature, Challenges and Opportunities on Social Recommendation
#67
nogawanogawa
opened
1 year ago
6
Monolith: Real Time Recommendation System With Collisionless Embedding Table
#66
nogawanogawa
closed
1 year ago
4
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval
#65
nogawanogawa
closed
1 year ago
5
Embarrassingly Shallow Autoencoders for Sparse Data
#64
nogawanogawa
closed
1 year ago
4
MiCRO: Multi-interest Candidate Retrieval Online
#63
nogawanogawa
opened
1 year ago
3
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
#62
nogawanogawa
opened
1 year ago
0
Revisiting the Performance of iALS on Item Recommendation Benchmarks
#61
nogawanogawa
closed
1 year ago
5
Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations
#60
nogawanogawa
closed
1 year ago
5
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
#59
nogawanogawa
opened
1 year ago
0
Why do tree-based models still outperform deep learning on tabular data?
#58
nogawanogawa
closed
1 year ago
5
Improve User Retention with Causal Learning
#57
nogawanogawa
opened
1 year ago
1
Implicit Skills Extraction Using Document Embedding and Its Use in Job Recommendation
#56
nogawanogawa
closed
1 year ago
5
Looper: An End-to-End ML Platform for Product Decisions
#55
nogawanogawa
opened
1 year ago
0
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest
#54
nogawanogawa
closed
1 year ago
6
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities
#53
nogawanogawa
closed
2 years ago
5
GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction
#52
nogawanogawa
opened
2 years ago
0
From Query-By-Keyword to Query-By-Example: LinkedIn Talent Search Approach
#51
nogawanogawa
closed
1 year ago
6
Towards Deep and Representation Learning for Talent Search at LinkedIn
#50
nogawanogawa
closed
2 years ago
6
Personalized Transfer of User Preferences for Cross-domain Recommendation
#49
nogawanogawa
closed
2 years ago
5
Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network
#48
nogawanogawa
opened
2 years ago
0
Embedding-based Retrieval in Facebook Search
#47
nogawanogawa
opened
2 years ago
0
Entity Personalized Talent Search Models with Tree Interaction Features
#46
nogawanogawa
closed
2 years ago
8
Related Pins at Pinterest: The Evolution of a Real-World Recommender System
#45
nogawanogawa
closed
2 years ago
5
Deep Neural Networks for YouTube Recommendations
#44
nogawanogawa
opened
2 years ago
5
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
#43
nogawanogawa
closed
2 years ago
7
Do Transformers Really Perform Bad for Graph Representation?
#42
nogawanogawa
closed
2 years ago
4
MetaFormer is Actually What You Need for Vision
#41
nogawanogawa
closed
2 years ago
5
Pay Attention to MLPs
#40
nogawanogawa
closed
2 years ago
5
A Proposed Conceptual Framework for a Representational Approach to Information Retrieval
#39
nogawanogawa
opened
2 years ago
0
E-commerce in Your Inbox: Product Recommendations at Scale
#38
nogawanogawa
closed
2 years ago
5
Next item recommendation with self-attentive metric learning
#37
nogawanogawa
closed
2 years ago
4
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
#36
nogawanogawa
closed
2 years ago
4
Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation
#35
nogawanogawa
closed
2 years ago
6
End-to-End Retrieval in Continuous Space
#34
nogawanogawa
closed
2 years ago
4
Transformer Memory as a Differentiable Search Index
#33
nogawanogawa
closed
2 years ago
5
Wide & deep learning for recommender systems
#32
nogawanogawa
closed
2 years ago
4
When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism
#31
nogawanogawa
opened
2 years ago
2
Deep learning for recommender systems: A Netflix case study
#30
nogawanogawa
opened
2 years ago
0
A ConvNet for the 2020s
#29
nogawanogawa
closed
2 years ago
9
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
#28
nogawanogawa
closed
2 years ago
6
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
#27
nogawanogawa
closed
2 years ago
5
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
#26
nogawanogawa
opened
2 years ago
1
MLP-Mixer: An all-MLP Architecture for Vision
#25
nogawanogawa
closed
2 years ago
4
Bias and Debias in Recommender System: A Survey and Future Directions
#24
nogawanogawa
opened
2 years ago
2
Deep & Cross Network for Ad Click Predictions
#23
nogawanogawa
closed
2 years ago
5
TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models
#22
nogawanogawa
opened
2 years ago
0
Masked Autoencoders Are Scalable Vision Learners
#21
nogawanogawa
closed
2 years ago
4
DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems
#20
nogawanogawa
closed
2 years ago
9
Debiased Offline Evaluation of Recommender Systems: A Weighted-Sampling Approach
#19
nogawanogawa
closed
2 years ago
9
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