Invention Grant
- Patent Title: Identification of similar queries based on overall and partial similarity of time series
- Patent Title (中): 基于时间序列的总体和部分相似性识别类似查询
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Application No.: US11770505Application Date: 2007-06-28
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Publication No.: US08290921B2Publication Date: 2012-10-16
- Inventor: Ning Liu , Jun Yan , Benyu Zhang , Zheng Chen , Jian Wang
- Applicant: Ning Liu , Jun Yan , Benyu Zhang , Zheng Chen , Jian Wang
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Perkins Coie LLP
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06F17/30

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.
Public/Granted literature
- US20090006365A1 IDENTIFICATION OF SIMILAR QUERIES BASED ON OVERALL AND PARTIAL SIMILARITY OF TIME SERIES Public/Granted day:2009-01-01
Information query