Dynamic classification of time-series categorical data
US-12111851-B1 · Oct 8, 2024 · US
US9105048B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9105048-B2 |
| Application number | US-201313862919-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 15, 2013 |
| Priority date | Mar 29, 2006 |
| Publication date | Aug 11, 2015 |
| Grant date | Aug 11, 2015 |
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A behavioral targeting system determines user profiles from online activity. The system includes a plurality of models that define parameters for determining a user profile score. Event information, which comprises on-line activity of the user, is received at an entity. To generate a user profile score, a model is selected. The model comprises recency, intensity and frequency dimension parameters. The behavioral targeting system generates a user profile score for a target objective, such as brand advertising or direct response advertising. The parameters from the model are applied to generate the user profile score in a category. The behavioral targeting system has application for use in ad serving to on-line users.
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What is claimed is: 1. A method of behavioral targeting comprising: identifying, via a computing device, a user data set associated with a plurality of users, the user data set comprising past event information from a plurality of events, the past event information being generated based on past on-line activity between each user of the plurality of users and an entity, the user data set comprising categories of activities, wherein each activity of a particular user associated with…
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