ssui-liu / learnable-embed-sizes-for-RecSysLinks
A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems
☆65Updated 4 years ago
Alternatives and similar repositories for learnable-embed-sizes-for-RecSys
Users that are interested in learnable-embed-sizes-for-RecSys are comparing it to the libraries listed below
Sorting:
- Implementation of the SIGIR 2020 paper "Automated Embedding Size Search in Deep Recommender Systems"☆27Updated 4 years ago
- A PyTorch implementation of Ranking Distillation☆90Updated 4 years ago
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆107Updated 2 years ago
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆58Updated 5 years ago
- Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions☆38Updated 4 years ago
- This repo includes some graph-based CTR prediction models and other representative baselines.☆67Updated last year
- Code for our WWW'2020 paper "Efficient Neural Interaction Function Search for Collaborative Filtering"☆25Updated 5 years ago
- [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"☆83Updated last year
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆43Updated 5 years ago
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 3 years ago
- A box of core libraries for recommendation model development☆91Updated 8 months ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆103Updated 2 years ago
- Dynamic Fair Rankings☆87Updated 2 years ago
- [TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recomm…☆82Updated last year
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Updated last year
- Adaptive Denoising Training (ADT) for Recommendation.☆71Updated 3 years ago
- This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)☆106Updated 5 years ago
- DE-RRD: A Knowledge Distillation Framework for Recommender System (CIKM'20)☆29Updated 2 years ago
- TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.☆126Updated 4 years ago
- Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared …☆111Updated 4 years ago
- This repository contains PyTorch Implementation of CIKM 2022 research-track paper: OptEmbed: Learning Optimal Embedding Table for Click-t…☆15Updated last year
- Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021☆34Updated 3 years ago
- Disentagnled Graph Collaborative Filtering, SIGIR2020☆139Updated 4 years ago
- ☆41Updated 5 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 2 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
- The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)☆78Updated 2 years ago
- An unofficial pytorch implementation of MELU☆45Updated 10 months ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆52Updated 4 years ago