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Using model-based collaborative filtering techniques to recommend the expected best strategy to defeat a simulated soccer opponent

Pedro Henriques Abreu, Daniel Castro Silva, João Paulo dos Santos Portela, João Mendes‐Moreira, Luís Paulo Reis

发表年份: 2014
引用次数: 11

摘要

How to improve the performance of a simulated soccer team using final game statistics? This is the question this research aims to answer using model-based collaborative techniques and a robotic team – FC Portugal – as a case study. After developing a

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AdversaryComputer scienceArtificial intelligenceCollaborative filteringOperations researchSimulationMachine learningEngineeringComputer securityRecommender system

Using model-based collaborative filtering techniques to recommend the expected best strategy to defeat a simulated soccer opponent

摘要

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