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DISCOVERING INTERESTINGNESS IN FACETED SEARCH

机译:搜寻搜寻中的兴趣

摘要

Exemplary embodiments of the present invention relate to enhanced faceted search support for OLAP queries over unstructured text as well as structured dimensions by the dynamic and automatic discovery of dimensions that are determined to be most “interesting” to a user based upon the data. Within the exemplary embodiments “interestingness” is defined as how surprising a summary along some dimensions is from a user's expectation. Further, multi-attribute facets are determined and a user is optionally permitted to specify the distribution of values that she expects, and/or the distance metric by which actual and expected distributions are to be compared.
机译:本发明的示例性实施例涉及对非结构化文本以及结构化维度上的OLAP查询的增强的多面搜索支持,该动态化和自动发现是基于数据对用户最“感兴趣”的维度。在示例性实施例中,“有趣度”被定义为沿着某些维度的摘要从用户的期望中有多么令人惊讶。此外,确定多属性方面,并且可选地允许用户指定她期望的值的分布和/或将比较实际分布和期望分布的距离度量。

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