thuml / Multi-Embedding
About Code Release for "On the Embedding Collapse When Scaling Up Recommendation Models" (ICML 2024)
☆15Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for Multi-Embedding
- ☆28Updated 8 months ago
- The code of CL4CTR☆49Updated last year
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆54Updated 2 years ago
- Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.☆44Updated 6 months ago
- A curated collection of recommendation datasets with trackable dataset IDs☆37Updated 5 months ago
- [AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".☆42Updated 3 months ago
- Code for SIGIR 2024 paper: M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework☆28Updated 2 months ago
- UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.☆77Updated 3 years ago
- This is the implementation of `Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Models`, which is accepted by …☆24Updated 2 years ago
- [WWW'22] Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation☆22Updated 2 years ago
- code for RIM☆22Updated 2 years ago
- ☆21Updated 3 months ago
- The code of GDCN☆31Updated 10 months ago
- This is the official PyTorch implementation for the paper: "EulerNet: Adaptive Feature Interaction Learning via Euler’s Formula for CTR P…☆26Updated 3 months ago
- ☆40Updated 3 years ago
- Dynamic Fair Rankings☆86Updated last year
- ☆19Updated 2 years ago
- WSDM 2022 CUP - Cross-Market Recommendation - Starter Kit☆24Updated 3 years ago
- Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)☆57Updated 4 years ago
- Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"☆62Updated last year
- ☆23Updated last month
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 2 years ago
- ☆35Updated last year
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆53Updated 4 years ago
- SIGKDD'2022: Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling☆42Updated last year
- Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions☆38Updated 4 years ago
- ☆59Updated 3 years ago
- ☆23Updated 7 months ago
- Code of Paper "ReLLa: Retrieval-enhanced Large Language Models for Mitigating Long Context Problems in Recommendation".☆41Updated 8 months ago