Mar 3, 2021 · In this paper, we propose the computation resource allocation solution (CRAS) that maximizes the business goal with limited computation ...
Mar 3, 2021 · (1) We propose the computation resource allocation solution that maximizes the business goal of recommender systems with lim- ited computation ...
This paper proposes the computation resource allocation solution (CRAS) that maximizes the business goal with limited computation resources and response ...
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Jan 25, 2022 · Bibliographic details on Computation Resource Allocation Solution in Recommender Systems.
Recommender systems rely heavily on increasing computation resources to improve their business goal. By deploying computation-intensive models and ...
This paper proposes a hybrid scheme combining prediction methods and deep reinforcement learning to optimize revenue for multi-scenario advertising systems.
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Computation Resource Allocation Solution in Recommender Systems · no code ... DCAF: A Dynamic Computation Allocation Framework for Online Serving System.
5 days ago · Modern recommender systems are built upon computation-intensive infrastructure, and it is challenging to perform real-time computation for ...
This paper designs a user-item link prediction algorithm based on resource allocation within the user similarity network to enhance prediction accuracy
Apr 30, 2023 · This paper proposes a Reinforcement Learning (RL) based Multi-Phase Computation Allocation approach (RL-MPCA), which aims to maximize the total business ...
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