DERIVATION OF ONTOLOGICAL RELEVANCIES AMONG DIGITAL CONTENT

• US 20140244647A1
• Filed: 02/27/2014
• Published: 08/28/2014
• Est. Priority Date: 02/27/2013
• Status: Active Grant

• Current Assignee: Pavlov Media, Inc. (Wavelength Corp.)
• Original Assignee: Pavlov Media, Inc. (Wavelength Corp.)
• Inventors: WYATT, BARTOW, Scifres, Mark
• Granted Patent: US 10,581,996 B2
• Time in Patent Office: Days
• US Class Current: 707/737
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9574 of access to content, e.g. by caching
• CPC Class Codes: H04L 67/1097 for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
• CPC Class Codes: H04L 67/568 Storing data temporarily at an intermediate stage, e.g. caching

Abstract

System for ontological evaluation and filtering of digital content evaluates metadata associated with content available from an original content server. The metadata is filtered and evaluated by a processing cluster to develop correlation among content for the formation of content “channels”. In general, the filtering and evaluation criteria use predictive algorithms and seek to identify content that is likely to be desired for download by the consumers located at, for example, a particular multi-dwelling unit. The content, once so correlated, is then grouped or aggregated into “channels”.

Claims

1. A method for deriving ontological relevancies of digital content comprising:

evaluating, in a computer, the metadata associated with content available from an original content server,

using predictive algorithms to identify content that is likely to be desired for download,

evaluating, in a computer, new requests for content to identify content of a type that does not need to be placed into one or more channels, and

grouping other requested content into one or more channels.