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.
Benchmark for Multi-Scenario-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.
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