Invention Grant
US09251275B2 Data clustering and user modeling for next-best-action decisions
有权
数据聚类和用户建模,用于下一个最佳动作决策
- Patent Title: Data clustering and user modeling for next-best-action decisions
- Patent Title (中): 数据聚类和用户建模,用于下一个最佳动作决策
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Application No.: US13895947Application Date: 2013-05-16
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Publication No.: US09251275B2Publication Date: 2016-02-02
- Inventor: Norbert Herman , Daniel T. Lambert
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Keohane & D'Alessandro PLLC
- Agent Maeve L. McCarthy; Hunter E. Webb
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
Embodiments herein provide data clustering and user modeling for next-best-action decisions. Specifically, a modeling tool is configured to: receive indicators within unstructured social data from a plurality of users; analyze the unstructured social data of each of the plurality of users to assign a set of feature vectors to each of the plurality of users, each feature vector corresponding to one or more personality characteristics of each of the plurality of users; and analyze the feature vectors to identify two or more users from the plurality of users sharing a set of similar feature vectors. The modeling tool is further configured to: group the two or more users from the plurality of users sharing the set of similar feature vectors to form a cluster; identify attributes of the cluster; and input the attributes of the cluster into a predictive model to determine an offer corresponding to the cluster.
Public/Granted literature
- US20140344270A1 DATA CLUSTERING AND USER MODELING FOR NEXT-BEST-ACTION DECISIONS Public/Granted day:2014-11-20
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