Benchmark for Multi-Scenario-Recommendation.
The source code for our paper "Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction" (accepted by KDD2023 Applied Science Track), which proposes a model for Multi-Scenario/Multi-Domain Recommendation.
Code implementation of "HAMUR: Hyper Adapter for Multi-Domain Recommendation" in CIKM‘2023
Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System. TKDD, 2024.
Add a description, image, and links to the multi-scenario-recommendation topic page so that developers can more easily learn about it.
To associate your repository with the multi-scenario-recommendation topic, visit your repo's landing page and select "manage topics."