Derivation of ontological relevancies among digital content

• US 10,581,996 B2
• Filed: 02/27/2014
• Issued: 03/03/2020
• 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
• Primary Examiner(s): Ly, Anh
• Application Number:
  US14/192,355
• Publication Number:
  US 20140244647A1
• Time in Patent Office: 2,196 Days
• 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 to provide the content to a client device connected to a local network at extremely fast data rates without at least some of the delays and latency associated with conventional internet downloads comprising the steps of:

evaluating, in a metadata processing cluster in a central processing cloud, for at least some content available across a network from an original content server, metadata associated with that content available from that original content server,

processing, in the central processing cloud in response to the evaluating step at least in part using predictive algorithms on the result of past usage characteristics of at least some users associated with the central processing cloud, content that is likely to be desired for download at a network location sufficiently remote from the original content server that a request to the original content server will result in significant latency in delivering that content to a user,

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

storing other requested content into one or more channels configured to be stored on a local content store located more proximate to a user device than the original content server and connected substantially locally thereto such that at least a portion of the requested content on the local content store is delivered to the user device without the delays and latency typical of conventional internet downloads.