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A Search Engine Based on Query Logs, and Search Log Analysis by Automatic Language Identification

机译:基于查询日志和自动语言识别的搜索日志分析的搜索引擎

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This work describes a variation on the traditional Information Retrieval paradigm, where instead of text documents being indexed according to their content, they are indexed according to the search terms previous users have used in finding them. We determine the effectiveness of this approach by indexing a sample of query logs from the European Library, and describe its usefulness for multilingual searching. In our analysis of the search logs, we determine the language of the past queries automatically, and annotate the search logs accordingly. From this information, we derive matrices to show that a) users tend to persist with the same query language throughout a query session, and b) submit queries in the same language as the interface they have selected.
机译:这项工作描述了传统信息检索范例的一种变体,在该范例中,不是根据文本文档的内容建立索引,而是根据先前用户在查找文本文档时所使用的搜索词对它们进行索引。我们通过索引来自欧洲图书馆的查询日志样本来确定此方法的有效性,并描述其对多语言搜索的有用性。在对搜索日志进行分析时,我们会自动确定过去查询的语言,并相应地对搜索日志进行注释。从这些信息中,我们得出矩阵,显示出:a)用户在整个查询会话中倾向于使用相同的查询语言,并且b)使用与所选界面相同的语言提交查询。

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