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Search query processing to identify search string corrections that reflect past search query submissions of users

机译:搜索查询处理,以识别反映用户过去的搜索查询提交的搜索字符串更正

摘要

A search engine process predicts the correct spellings of search terms within multiple-term search queries. In one embodiment, when a user submits a multiple-term search query that includes a non-matching term and at least one matching term, a table is accessed to look up a set of terms that are “related” to the matching term or terms. A spelling comparison function is then used to determine whether any of these related terms is sufficiently similar in spelling to the non-matching term to be deemed a candidate correctly-spelled replacement. A candidate replacement term may automatically be substituted for the non-matching term, or may be suggested to the user as a replacement. The invention also includes a process for identifying terms that are related to each other based on the relatively high frequencies with which they co-occur within search queries of users, database records, and/or specific database fields.
机译:搜索引擎过程会预测多个术语搜索查询中搜索词的正确拼写。在一个实施例中,当用户提交包括不匹配项和至少一个匹配项的多个术语搜索查询时,访问表以查找与一个或多个匹配项“相关”的一组术语。 。然后使用拼写比较功能来确定这些相关术语中的任何一个在拼写上是否与不匹配的术语足够相似,从而被视为候选的正确拼写替换。候选替换词可以自动替换不匹配词,或者可以向用户建议作为替换词。本发明还包括一种用于基于相对高的频率来识别彼此相关的术语的过程,在用户,数据库记录和/或特定的数据库字段的搜索查询中它们以较高的频率共存。

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