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System and method for neighborhood optimization for content recommendation
System and method for neighborhood optimization for content recommendation
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机译:用于内容推荐的邻域优化的系统和方法
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摘要
A cost function is stochastically optimized using, e.g., simulated annealing to render a neighborhood of entities based on which content recommendations can be provided to a user of a home entertainment system. The cost function represents a normalized sum of rating similarity scores from entities of the neighborhood that are related to content items viewed by the user.
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