Applied-Machine-Learning-Lab / AdaFSLinks
☆15Updated 2 years ago
Alternatives and similar repositories for AdaFS
Users that are interested in AdaFS are comparing it to the libraries listed below
Sorting:
- [CIKM 2022]Contrastive Cross-Domain Sequential Recommendation☆38Updated 3 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
- cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets☆46Updated last year
- ☆25Updated 3 years ago
- This is the official implementation of our paper Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR), whi…☆141Updated 2 years ago
- MB-STR SIGIR22☆45Updated 3 years ago
- Contrastive Learning for Cold-start Recommendation☆72Updated 4 years ago
- The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation☆46Updated last year
- Code for SIGIR 2024 paper: M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework☆47Updated last year
- This is a library built upon RecBole for cross-domain recommendation algorithms☆110Updated last year
- [KDD'22] Official PyTorch implementation for "Towards Universal Sequence Representation Learning for Recommender Systems".☆208Updated 2 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆117Updated 4 years ago
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆43Updated 3 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆77Updated 4 years ago
- Code implementation of "HAMUR: Hyper Adapter for Multi-Domain Recommendation" in CIKM‘2023☆22Updated 2 years ago
- This repository contains PyTorch implemenation of WWW 2023 research paper: Optimizing Feature Set for Click-through Rate Prediction.☆12Updated 2 years ago
- Our implementation of neurips'20 paper "Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering"☆35Updated 3 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆70Updated 3 years ago
- this is the code of MMCLR☆44Updated 2 years ago
- ☆131Updated 2 years ago
- [WWW'22] Official PyTorch implementation for "Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning".☆124Updated 3 years ago
- ☆53Updated 2 years ago
- This repo includes some graph-based CTR prediction models and other representative baselines.☆69Updated last year
- Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021☆50Updated 4 years ago
- Code for the CIKM2022 Paper "Explanation Guided Contrastive Learning for Sequential Recommendation"☆28Updated 3 years ago
- The code for the paper "MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation" (AC…☆59Updated last year
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆84Updated 3 years ago
- ☆27Updated 2 years ago
- Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"☆101Updated 5 years ago