Method for real-time viral event prediction from social data
US-2015350149-A1 · Dec 3, 2015 · US
US11676040B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11676040-B2 |
| Application number | US-201916371521-A |
| Country | US |
| Kind code | B2 |
| Filing date | Apr 1, 2019 |
| Priority date | Jun 9, 2014 |
| Publication date | Jun 13, 2023 |
| Grant date | Jun 13, 2023 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
A cognitive information processing system environment which includes a plurality of data sources; a cognitive inference and learning system coupled to receive a data from the plurality of data sources, the cognitive inference and learning system processing the data from the plurality of data sources to provide cognitively processed insights, the cognitive inference and learning system further comprising performing a learning operation to iteratively improve the cognitively processed insights over time; and, a destination, the destination receiving the cognitively processed insights.
Opening claim text (preview).
What is claimed is: 1. A method for cognitive information processing comprising: receiving data from a plurality of data sources; processing the data from the plurality of data sources via a cognitive inference and learning system to provide cognitively processed insights, the cognitive inference and learning system executing on a hardware processor of an information processing system, the cognitive inference and learning system and the information processing system providing a cognitive computing function, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a cognitive engine, the cognitive engine comprising a data set engine, a graph engine and an insight/learning engine, the insight/learning engine performing a learning operation to iteratively improve the cognitively processed insights over time; a plurality of sourcing agents, the plurality of sourcing agents sourcing multi-site, multi-structured data streams; and, a plurality of destination agents, the plurality of destination agents publishing the cognitively processed insights; performing a learning operation via the cognitive inference and learning system to iteratively improve the cognitively processed insights over time; and, providing the cognitively processed insights to a destination, the destination comprising a cognitive application, the cognitive application enabling a user to interact with the cognitive insights. 2. The method of claim 1 , wherein the plurality of data sources comprise at least one of situational data sources and temporal data sources. 3. The method of claim 1 , wherein: the plurality of data sources comprise at least one of a social data source, a public data source, a private data source and a device data source. 4. The method of claim 1 , further comprising: performing analysis operations to achieve a semantic level of understanding about language by relating syntactic structures. 5. The method of claim 1 , further comprising: performing multi-criteria decision making operations to achieve a goal. 6. The method of claim 1 , further comprising: filtering for information through collaborative involvement of a plurality of entities. 7. The method of claim 1 , further comprising: inherently making deductions from commonly known facts. 8. The method of claim 1 , further comprising: enabling natural language interactions with the cognitive inference and learning system. 9. The method of claim 1 , further comprising: processing information, organizing the information, ranking the information and generating a corresponding summary of the information. 10. The method of claim 1 , further comprising: reasoning based upon qualitative abstractions of temporal and spatial aspects of common sense knowledge. 11. The method of claim 1 , further comprising: identifying elements in a set of data that refer to the same entity across different data sources. 12. The method of claim 1 , wherein: the destination comprises at least one of a mobile application, an alert, a business intelligence type application, a statistical tool, a third party custom application, a marketplace and an application program interface.
Related publications grouped by family.
Answers are generated from the same data shown on this page.