Efficient Personalized Reranking with Semi-Autoregressive Generation and Online Knowledge Distillation
Efficient Personalized Reranking with Semi-Autoregressive Generation and Online Knowledge Distillation explores A personalized semi-autoregressive reranking framework that balances generation quality and inference efficiency for recommender systems, making it suitable for real-time deployment.. Commercial viability score: 7/10 in Recommender Systems.
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