fuyuanlyu / AutoFS-in-CTRLinks
This repository is contains several Automated feature selection methods in CTR Predicition.
☆10Updated 3 years ago
Alternatives and similar repositories for AutoFS-in-CTR
Users that are interested in AutoFS-in-CTR are comparing it to the libraries listed below
Sorting:
- This repository contains PyTorch implemenation of WWW 2023 research paper: Optimizing Feature Set for Click-through Rate Prediction.☆12Updated 2 years ago
- [KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".☆208Updated 2 years ago
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆29Updated 2 years ago
- This is the official PyTorch implementation for the paper: "EulerNet: Adaptive Feature Interaction Learning via Euler’s Formula for CTR P…☆29Updated last year
- Adaptive Denoising Training (ADT) for Recommendation.☆75Updated 3 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆70Updated 3 years ago
- Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation☆63Updated 2 years ago
- The official implementation for WWW 2022 paper "A Model-Agnostic Causal Learning Framework for Recommendation using Search Data"☆31Updated 3 years ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆84Updated 3 years ago
- This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…☆107Updated 2 years ago
- End-to-end Training for Multimodal Recommendation Systems☆166Updated last year
- Official code implementation for ICDE 23 paper MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation☆38Updated 2 years ago
- A highly-modularized and recommendation-efficient recommendation library based on PyTorch.☆198Updated 11 months ago
- A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems☆66Updated 5 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 3 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆117Updated 4 years ago
- ☆63Updated 2 years ago
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆46Updated last year
- cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets☆46Updated last year
- This repository collects 100 papers related to negative sampling methods.☆196Updated 2 years ago
- Source code for SIGIR 2023 paper: Prompt Learning for News Recommendation☆84Updated 11 months ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 3 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆44Updated 2 years ago
- [WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".☆92Updated 2 years ago
- TOIS'23, Personalized Prompt Learning for Explainable Recommendation☆131Updated last year
- This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.☆107Updated 3 years ago
- Controllable Multi-Objective Re-ranking with Policy Hypernetworks (KDD 2023)☆35Updated last year
- ☆65Updated last year
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆77Updated 4 years ago
- ☆176Updated 3 years ago