Data clustering and user modeling for next-best-action decisions
US9251275B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 16, 2013 |
| Grant date | Feb 2, 2016 |
| Priority date | — |
| Expiry date | Aug 15, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.