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Intelligent exploration through multiple hierarchies using entity relevance

机译:使用实体相关性通过多个层次进行智能探索

摘要

A method, system, and computer readable code for improving user exploration (i.e. navigation and browsing) through hierarchies of information. Entity relevance is calculated for the entities in the hierarchies, and this information is used to guide the user in his exploration. Two types of entity relevance are used, structural relevance and state relevance. Structural relevance is preferably pre-computed, being static in nature. State relevance is dynamically computed, as the user selects nodes or categories during exploration. Each selection serves to further constrain the solution space. Entities are determined to be strongly relevant, weakly relevant, or irrelevant for the current solution space. Node feasibility is also dynamically calculated, and provides a forward-looking indication of which nodes can be selected while still remaining consistent with the current solution space.
机译:一种用于通过信息层次结构改进用户探索(即导航和浏览)的方法,系统和计算机可读代码。为层次结构中的实体计算实体相关性,并且此信息用于指导用户进行探索。使用了两种类型的实体相关性,结构相关性和状态相关性。结构相关性优选地是预先计算的,本质上是静态的。当用户在探索期间选择节点或类别时,将动态计算状态相关性。每个选择都用于进一步限制求解空间。确定实体与当前解决方案空间高度相关,弱相关或不相关。还可以动态计算节点可行性,并提供前瞻性的指示,表明可以选择哪些节点,同时仍与当前解决方案空间保持一致。

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