RUCAIBox / EulerNet
This is the official PyTorch implementation for the paper: "EulerNet: Adaptive Feature Interaction Learning via Euler’s Formula for CTR Prediction".
☆26Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for EulerNet
- ☆23Updated 2 years ago
- implementation code for 'PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations' in SIGIR 2023☆13Updated last month
- ☆24Updated 3 years ago
- ☆15Updated 3 months ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆42Updated last year
- ☆25Updated last year
- Code of Paper "ReLLa: Retrieval-enhanced Large Language Models for Mitigating Long Context Problems in Recommendation".☆41Updated 8 months ago
- ☆20Updated 2 years ago
- A Generic Network Compression Framework for Sequential Recommender Systems☆19Updated 4 years ago
- Code for 'Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation' accepted to WSDM 2024☆11Updated last month
- source code of paper "Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation", which is accepted…☆31Updated 2 years ago
- Code for our SIGIR 2021 short paper "Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation."☆14Updated 3 years ago
- Implementation for "Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation"☆25Updated 8 months ago
- ☆15Updated 3 years ago
- Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback☆27Updated 3 years ago
- [WWW'23] PyTorch implementation for "Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders".☆65Updated last year
- Adaptive Denoising Training (ADT) for Recommendation.☆67Updated 2 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆38Updated 4 years ago
- The source code and dataset for the RecGURU paper (WSDM 2022)☆27Updated 2 years ago
- ☆34Updated 3 years ago
- Contrastive Learning for Cold-start Recommendation☆63Updated 3 years ago
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)☆34Updated 3 months ago
- The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)☆72Updated 2 years ago
- UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation☆23Updated 9 months ago
- [WWW 2023] Official code of "Adap-$\tau$: Adaptively Modulating Embedding Magnitude for Recommendation"☆28Updated 10 months ago
- ☆31Updated last year
- [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation☆32Updated 3 years ago
- code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation☆22Updated 4 years ago
- Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.☆97Updated 2 years ago
- Codebase for KDD 2023 paper, Text Is All You Need: Learning Language Representations for Sequential Recommendation☆61Updated last year