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CALCULATING EXPERTISE CONFIDENCE BASED ON CONTENT AND SOCIAL PROXIMITY

机译:基于内容和社会接近度的专业素养计算

摘要

Examples of techniques for calculating confidence scores are described herein. A method includes executing, via a processor, a document-oriented search based on a query in an index of documents to generate a set of document results, each document associated with at least one potential expert. The method includes analyzing the document results to produce a list of potential experts. The method includes calculating an expertise score for each potential expert based on a calculated content score and metadata score for each potential expert. The method includes calculating an evidence diversity score for each potential expert. The method includes calculating a confidence score for each potential expert based on a diversity-constrained content score and a diversity-constrained metadata score for each potential expert. The method includes displaying a list of potential experts with associated confidence scores.
机译:本文描述了用于计算置信度分数的技术的示例。一种方法包括经由处理器基于文档索引中的查询来执行面向文档的搜索,以生成一组文档结果,每个文档与至少一个潜在专家相关联。该方法包括分析文档结果以产生潜在专家列表。该方法包括基于所计算的每个潜在专家的内容得分和元数据得分来计算每个潜在专家的专业知识得分。该方法包括计算每个潜在专家的证据多样性分数。该方法包括基于每个潜在专家的多样性受限内容得分和多样性受限元数据得分来计算每个潜在专家的置信度得分。该方法包括显示具有相关置信度分数的潜在专家的列表。

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