zyang1580 / DIL
This is an implementation for our SIGIR 2023 paper "Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation" based on PyTorch.
☆9Updated last year
Related projects ⓘ
Alternatives and complementary repositories for DIL
- ☆9Updated last year
- Pytorch implementation of DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns☆12Updated 2 years ago
- This repository hosts the code and the additional materials for the paper "ProtoMF: Prototype-based Matrix Factorization for Effective an…☆12Updated last year
- [SIGIR 2022]DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation☆35Updated 2 years ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆34Updated 3 months ago
- Contrastive Self-supervised Sequential Recommendation with Robust Augmentation☆78Updated 2 years ago
- The implementation of "Cross-Domain Recommendation via Preference Propagation GraphNet“, Cheng Zhao, Chenliang Li, Cong Fu, https://doi.o…☆25Updated 2 years ago
- [WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Re…☆25Updated 10 months ago
- This is the our implementation for the paper: Exploring Mixed Information Flow for Cross-domain Sequential Recommendations☆12Updated 4 years ago
- [ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck☆29Updated last year
- Implementation of the paper "Contrastive Learning with Bidirectional Transformers for Sequential Recommendation".☆26Updated 2 years ago
- Experiments codes for WSDM '24 paper "MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems"☆9Updated 5 months ago
- WWW 2022 "Sequential Recommendation via Stochastic Self-Attention"☆55Updated 2 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆24Updated last year
- ☆31Updated last year
- Sequential Recommendation with Probabilistic Logical Reasoning (SR-PLR)☆8Updated last year
- [SIGIR'2023] "MAERec: Graph Masked Autoencoder for Sequential Recommendation"☆58Updated last year
- Source codes and Datasets for EDDA in CIKM'23☆16Updated last year
- Adaptive Denoising Training (ADT) for Recommendation.☆67Updated 2 years ago
- The code of 'Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation', WWW-23☆18Updated last year
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆19Updated last year
- [WSDM 2023]Towards Universal Cross-Domain Recommendation☆18Updated last year
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆97Updated 2 years ago
- This repository contains PyTorch implemenation of WWW 2023 research paper: Optimizing Feature Set for Click-through Rate Prediction.☆10Updated last year
- Pytorch Implementation of Interest-Aware Message-Passing GCN for Recommender Systems☆15Updated 2 years ago
- KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering☆67Updated 2 years ago
- This is an implementation for our paper "Addressing Confounding Feature Issue for Causal Recommendation" based on PyTorch.☆15Updated last year
- The source code for WWW 2022 Paper "Filter-enhanced MLP is All You Need for Sequential Recommendation"☆39Updated 2 years ago
- implementation code for 'PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations' in SIGIR 2023☆13Updated last month
- [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"☆56Updated last year