ruizhang-ai / HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_SystemsLinks
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems, KDD 2022
☆25Updated 3 years ago
Alternatives and similar repositories for HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_Systems
Users that are interested in HIRS-Detecting_Arbitrary_Order_Beneficial_Feature_Interactions_for_Recommender_Systems are comparing it to the libraries listed below
Sorting:
- Causal Representation Learning for Out-of-Distribution Recommendation (WWW'22)☆19Updated 2 years ago
- TimelyRec (Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation, WWW'21)☆13Updated 4 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 4 years ago
- This is the repository of the NeurIPS 2021 paper "Curriculum Disentangled Recommendation withNoisy Multi-feedback"☆22Updated 3 years ago
- Adaptive Denoising Training (ADT) for Recommendation.☆75Updated 3 years ago
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆25Updated 5 years ago
- the 1st place of WSDM 2022 Challenge (Temporal Link Prediction)☆13Updated 2 years ago
- Official code implementation for ICDE 23 paper MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation☆38Updated 2 years ago
- ☆24Updated 3 years ago
- Pre-training and Lifelong learning for User Embedding and Recommender System☆45Updated last year
- WSDM2022 Challenge - Large scale temporal graph link prediction☆38Updated 3 years ago
- Source code and dataset for WWW'22 paper "STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation"☆39Updated 3 years ago
- ☆32Updated 4 years ago
- TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21☆26Updated 2 years ago
- [WWW'23] "SimRec: Graph-less Collaborative Filtering"☆31Updated 2 years ago
- Deconfounded Recommendation for Alleviating Bias Amplification☆46Updated 4 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆46Updated 2 years ago
- cross-domain recommendation,transfer learning,pre-training,self-supervise learning papers and datasets☆45Updated last year
- Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021☆33Updated 4 years ago
- Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"☆53Updated 4 years ago
- ☆31Updated 4 years ago
- The source code for WWW 2022 Paper "Filter-enhanced MLP is All You Need for Sequential Recommendation"☆50Updated 3 years ago
- Code for CIKM 2021 best short paper nomination "Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation" https…☆16Updated 4 years ago
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆33Updated 4 years ago
- This is the source code of PFRec☆14Updated 3 years ago
- ☆18Updated 4 years ago
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆27Updated 2 years ago
- PyTorch implementation of Interactive Hypergraph Neural Network for Personalized Product Search (IHGNN)☆24Updated 3 years ago
- Official source code for AAAI 2023 paper: Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation☆66Updated 7 months ago
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Updated 2 years ago