Identification of similar queries based on overall and partial similarity of time series
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United States of America Patent
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Oct 16, 2012
Grant Date -
Jan 1, 2009
app pub date -
Jun 28, 2007
filing date -
Jun 28, 2007
priority date (Note) -
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Abstract
Techniques for identifying similar queries based on their overall similarity and partial similarity of time series of frequencies of the queries are provided. To identify queries that are similar to a target query, the query analysis system generates, for each query, an overall similarity score for that query and the target query based on the time series of the query and the target query. The query analysis system also generates, for each query, partial similarity scores for the query and the target query based on various time sub-series of the overall time series of the queries. The query analysis system then identifies queries as being similar to the target query based on the overall similarity scores and the partial similarity scores of the queries.
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