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Learning a ranker to rank entities with automatically derived domain-specific preferences
Learning a ranker to rank entities with automatically derived domain-specific preferences
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机译:学习排序器以对具有自动派生的特定领域首选项的实体进行排序
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摘要
A system is described herein that includes a preference deriver component that receives a predefined preference rule that indicates a hierarchy pertaining to entities belonging to a domain, wherein each of the entities has attributes and values for such attributes corresponding thereto, and wherein the preference deriver component outputs preferences between various subsets of entities based at least in part upon the preference rule. The system also includes a learning component that learns a computer-implemented ranker component that is configured to rank the entities belonging to the domain, wherein the learning component learns the computer-implemented ranker based at least in part upon the preferences between the various subsets of the entities output by the preference deriver component.
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