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SYSTEM AND METHOD FOR RECOMMENDING PERSONALIZED CONTENT USING CONTEXTUALIZED KNOWLEDGE BASE

机译:使用上下文化知识库推荐个性化内容的系统和方法

摘要

A system for recommending content for use, by a learner is provided. The system includes a processor in communication with a memory. The memory stores a knowledge base. The processor is configured for identifying a subset of the knowledge base, based on the academic context of the learner and for identifying a first set of content tagged to interlinked nodes of the subset of knowledge base. The processor is configured for identifying a second set of content from the first set of content, based on the behavioral context and the characteristics of the learner. The processor is configured for identifying a learning path for the learner, based on a learning strategy for the learner and a score assigned to a concept. The processor is configured for structuring the identified second set of content for recommending to the learner, based on the identified learning path.
机译:提供了一种学习者推荐使用内容的系统。该系统包括与存储器通信的处理器。存储器存储知识库。处理器被配置为基于学习者的学术背景来识别知识库的子集,并且用于识别被标记为知识库的子集的互连节点的第一组内容。处理器被配置为基于行为上下文和学习者的特征从第一组内容中识别第二组内容。处理器被配置为基于学习者的学习策略和分配给概念的分数来识别学习者的学习路径。处理器被配置为基于所识别的学习路径来构造所识别的第二内容集合以推荐给学习者。

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