qinjr / UBR4CTRLinks
UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.
☆79Updated 4 years ago
Alternatives and similar repositories for UBR4CTR
Users that are interested in UBR4CTR are comparing it to the libraries listed below
Sorting:
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 4 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆101Updated 5 years ago
- A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"☆97Updated 5 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆115Updated 4 years ago
- ☆61Updated last year
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Updated 5 years ago
- ☆64Updated 4 years ago
- Deep Feedback Network for Recommendation☆95Updated 4 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'☆79Updated 5 years ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆56Updated 3 years ago
- DHAN code for SIGIR 2020☆46Updated 5 years ago
- ☆41Updated 4 years ago
- ☆74Updated 5 years ago
- Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling☆205Updated last year
- ☆51Updated 6 years ago
- ☆35Updated 4 years ago
- Generative model for sequential recommendation based on Convolution Neural Networks (CNN))☆111Updated last year
- [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"☆83Updated last year
- Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.☆101Updated 4 years ago
- Sequential deep matching model for recommender system at Alibaba☆209Updated 5 years ago
- 推荐系统修炼手册☆117Updated 3 years ago
- ☆51Updated 8 months ago
- TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018☆76Updated 6 years ago
- paper collection for recommendation aspet☆38Updated 4 years ago
- A Matlab implementation of Convolutional Sequence Embedding Recommendation Model (Caser)☆76Updated 7 years ago
- DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System☆66Updated 3 years ago
- ☆83Updated 6 years ago