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Calculating expertise confidence based on content and social proximity

机译:根据内容和社会接近计算专业知识信心

摘要

A document-oriented search can be executed to generate a set of document results, at least one of the documents associated with at least one potential expert. The document results can be analyzed to produce a list of potential experts. An expertise score for at least one of the potential experts can be calculated based on a content score and a metadata score for the at least one of the potential experts. A confidence score for the potential expert can be calculated based on a diversity-constrained content score and a diversity-constrained metadata score for the at least one of the potential experts, the diversity-constrained content score and the diversity-constrained metadata score calculated using an evidence diversity score for the at least one of the potential experts. A list of experts with associated confidence scores that are above a confidence score threshold can be sent to a client device.
机译:可以执行面向文档的搜索以生成一组文档结果,至少一个与至少一个潜在专家相关联的文档。 可以分析文件结果以制定潜在专家名单。 至少一个潜在专家的专业知识分数可以基于内容分数和至少一个潜在专家的元数据分数来计算。 潜在专家的信心评分可以基于分集受限的内容分数和用于至少一个潜在专家的分集受限的元数据分数,分集受限的内容得分和使用的分集约束的元数据分数 至少一个潜在专家的证据分量分数。 可以向客户端设备发送具有高于置信度阈值的相关置信度分数的专家列表。

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