Ui workflow optimization based on expected next ui interaction
US-2024427469-A1 · Dec 26, 2024 · US
US9065727B1 · US · B1
| Field | Value |
|---|---|
| Publication number | US-9065727-B1 |
| Application number | US-201213601775-A |
| Country | US |
| Kind code | B1 |
| Filing date | Aug 31, 2012 |
| Priority date | Aug 31, 2012 |
| Publication date | Jun 23, 2015 |
| Grant date | Jun 23, 2015 |
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A computerized method and system operable to build a device identifier similarity model with online event signals and determine similar network device identifiers. A processing circuit receives a first set of network device identifiers. The processing circuit represents each network device identifier of the first set by feature data associated with each network device identifier's network activity, where the feature data is associated with the content clicked-on or converted-on. The processing circuit applies abstractions on the feature data to form concepts. The processing circuit derives at least one hierarchy of feature data based on the keywords and concepts of the feature data. The processing circuit expands the feature data based on the derived at least one hierarchy of feature data and generates the device identifier similarity model based on the expanded feature data. The processing circuit is also capable of determining long-term and short-term history events.
Opening claim text (preview).
What is claimed is: 1. A computerized method of building a device identifier similarity model with online event signals, the method comprising: receiving at a processing circuit a first set of network device identifiers; identifying, by the processing circuit, an online event associated with network activity of each network device identifier of the first set; identifying, using the processing circuit, for each network device identifier of the first set, one or more long-term b…
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