fuyuanlyu / OptEmbedLinks
This repository contains PyTorch Implementation of CIKM 2022 research-track paper: OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction.
☆15Updated last year
Alternatives and similar repositories for OptEmbed
Users that are interested in OptEmbed are comparing it to the libraries listed below
Sorting:
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- Graph Meta Embedding (GME) for cold-start ads in CTR/CVR prediction☆37Updated 3 years ago
- A Generic Network Compression Framework for Sequential Recommender Systems☆19Updated 5 years ago
- ☆24Updated 4 years ago
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆30Updated 2 years ago
- Contrastive Learning for Cold-start Recommendation☆69Updated 3 years ago
- Multi-order Attentive Ranking Model for Sequential Recommendation☆26Updated 6 years ago
- ☆25Updated 2 years ago
- The implementation of “A Context-Aware User-Item Representation Learning for Item Recommendation”, Libing Wu, Cong Quan, Chenliang Li, Qi…☆28Updated 2 years ago
- ☆31Updated 5 years ago
- A PyTorch implementation of Determinantal Point Process Likelihoods for Sequential Recommendation☆12Updated 7 months ago
- Symmetric Metric Learning with Adaptive Margin for Recommendation☆36Updated 5 years ago
- This repository is contains several Automated feature selection methods in CTR Predicition.☆9Updated 2 years ago
- A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems☆65Updated 4 years ago
- Pre-training and Lifelong learning for User Embedding and Recommender System☆45Updated last year
- (PyTorch re-implementation) Neural Rating Regression with Abstractive Tips Generation for Recommendation, SIGIR'17☆11Updated 5 months ago
- This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention☆40Updated 5 years ago
- This is the official PyTorch implementation for the paper: "EulerNet: Adaptive Feature Interaction Learning via Euler’s Formula for CTR P…☆28Updated 11 months ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- Code for the KDD21 paper -- Popularity Bias in Dynamic Recommendation☆17Updated 3 years ago
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆83Updated last year
- Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation (KDD19)☆27Updated 5 years ago
- cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets☆44Updated last year
- A curator of Sequential Recommendation algorithms☆20Updated 4 years ago
- data and code of AttList from CIKM2019☆22Updated 5 years ago
- ☆28Updated last year
- This is a pytorch (>=1.3.0) implementation of RepeatNet☆35Updated 5 years ago
- WSDM 2022 CUP - Cross-Market Recommendation - Starter Kit☆24Updated 3 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 2 years ago
- ☆24Updated 3 years ago