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Generalized linear mixed models for improving search

机译:广义线性混合模型以改善搜索

摘要

Techniques for improving search using generalized linear mixed models are disclosed herein. In some embodiments, a computer-implemented method comprises: receiving a search query comprising at least one search term and being associated with a user; extracting features from corresponding profiles of a plurality of candidates; for each one of the candidates, generating a corresponding score based on a generalized linear mixed model comprising a generalized linear query-based model and a random effects user-based model; selecting a subset of candidates from the plurality of candidates based on the corresponding scores; and causing the selected subset of candidates to be displayed to the user in a search results page for the search query.
机译:本文公开了使用广义线性混合模型来改善搜索的技术。在一些实施例中,一种计算机实现的方法,包括:接收包括至少一个搜索词并且与用户相关联的搜索查询;以及从多个候选者的对应简档中提取特征;对于每个候选者,基于广义线性混合模型,包括基于广义线性查询的模型和基于随机效应用户的模型,产生对应的分数;基于相应分数从多个候选中选择候选子集;并使所选的候选子集​​在搜索查询的搜索结果页面中显示给用户。

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