发明申请
- 专利标题: GUIDED CLUSTER ATTRIBUTE SELECTION
- 专利标题(中): 指导集群属性选择
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申请号: US11561779申请日: 2006-11-20
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公开(公告)号: US20080120307A1公开(公告)日: 2008-05-22
- 发明人: Glen Anthony Ames , David A. Burgess , Joshua Ethan Miller Koran , Amit Umesh Shanbhag
- 申请人: Glen Anthony Ames , David A. Burgess , Joshua Ethan Miller Koran , Amit Umesh Shanbhag
- 申请人地址: US CA Sunnyvale
- 专利权人: YAHOO! INC.
- 当前专利权人: YAHOO! INC.
- 当前专利权人地址: US CA Sunnyvale
- 主分类号: G06F17/30
- IPC分类号: G06F17/30
摘要:
A method for selecting at least one target customer attribute from a plurality of customer attributes, wherein each customer attribute represents a unique customer characteristic is provided. The plurality of customer attributes is presented for selection. A selection of at least one target customer attribute selected from the plurality of customer attributes is received. For each cluster of a plurality of clusters, indicated the statistic of customers belonging to that cluster who possess each and every one of the at least one target customer attribute. The plurality of clusters comprises a plurality of customers and each customer of the plurality of customers belongs to at least one cluster of the plurality of clusters.
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