PATENT CLAIM ANALYSIS

Application Number: 15933995
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["709", "231000"]

Abstract:
A method for designating a class of data content for determining how the content will be handled by a content delivery network (CDN) into one of: a transport designation by which content is transported from an entrance node to one or more edge nodes; a caching designation by which the content is stored at one or more edge nodes; and a hybrid designation by which content is stored at a node in the CDN for subsequent transport to one or more edge nodes in the CDN, the method comprising: determining a set of one or more transport designation options; determining a set of one or more caching designation options; determining a set of one or more hybrid designation options; determining a normalised measure resource requirement for each of the transport, caching and hybrid designation options; and selecting one designation option for the class of content from all of the transport, caching and hybrid designation options by an optimisation function for selecting the designation option based on the determined normalised resource requirement for each option.

Claim (Index 16):
The computer system of  claim 14  wherein the computer program code, when executed, further causes the processor to:\n determine a set of consumers for which content can be delivered by the selected designation option; and \n responsive to a determination that the selected option does not meet a predetermined threshold proportion of a set of consumers for which the class of content is to be available for delivery, disregard the selected designation option and the optimisation function selection an alternate designation option.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 90.0
- Lexical Diversity: 2.9375
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13939095', '10061983', '15010441', '14588386', '13375022']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2843784072775622
- 35 USC 102 Novelty (BERT): 0.5120851107786282
- Combined Prediction Score: 0.3071490776276688
- Mean Citation Score: 199.425652
- Max Citation Score: 200.55171
- Similarity Product: 99.77939519738052

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test