Method for targeted advertising on the web based on accumulated self-learning data, clustering users and semantic node graph techniques
US6714975B1 · kind B1 · utility
187Cited by
18References
57Claims
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Key dates
| Filing date | Mar 31, 1997 |
| Grant date | Mar 30, 2004 |
| Priority date | — |
| Expiry date | Mar 31, 2017 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0277
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
A method for dynamically placing objects in slots on a web page in response to a current client request for the web page comprises the steps of classifying users into user groups based one or more user-characteristics, accumulating self-learning data based on user click behavior for each user group, matching the current client request with a corresponding user group and scheduling real-time selection of the slots for the objects on the web page based on the self-learning data of the corresponding user group.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.