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RECOMMENDER SYSTEM FOR IDENTIFYING A NEW SET OF MEDIA ITEMS RESPONSIVE TO AN INPUT SET OF MEDIA ITEMS AND KNOWLEDGE BASE METRICS
RECOMMENDER SYSTEM FOR IDENTIFYING A NEW SET OF MEDIA ITEMS RESPONSIVE TO AN INPUT SET OF MEDIA ITEMS AND KNOWLEDGE BASE METRICS
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机译:识别与媒体项和知识基础指标输入有关的新媒体项集的推荐系统
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摘要
Systems and methods are disclosed for identifying a new set of media items in response to an input set (or “query set”) of media items and knowledge base metrics. The system uses a knowledge base consisting of a collection of mediasets. Various metrics among media items are considered by analyzing how the media items are grouped to form the mediasets in the knowledge base. Such association or “similarity” metrics are preferably stored in a matrix form that allows the system to efficiently identify a new set of media items that complements the input set of media items.
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