PATENT CLAIM ANALYSIS

Application Number: 16186310
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["715", "255000"]

Abstract:
A method for content transformation using a transformation node cluster. The transformation node cluster may comprise a plurality of nodes including a plurality of transformation nodes configured to execute one or more content transformation types. A request may be received from a client machine for a content item stored in a repository associated with a server machine that is associated with the transformation node cluster. A current content format of the content item and a target content format of the content item may be identified. The target content format may differ from the current content format. A chain of transformations may be determined as including a first transformation type for transforming the content item from the current content format to an intermediate content format.

Claim (Index 37):
The computer program product in accordance with  claim 36 , wherein the transformation chain comprises a transformation type resulting in formation of multiple intermediate content items, and each of the multiple intermediate content items requires a subsequent transformation, and wherein the operations further comprise:\n routing, by the router, the multiple intermediate content items to multiple transformation nodes in the transformation node cluster, the multiple transformation nodes each being configured to execute a same one of a plurality of content transformation types such that the multiple intermediate content items are processed in parallel.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 98.0
- Lexical Diversity: 2.36364
- Patent Class: 715.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14308562', '14308581', '10978549', '13288435', '15584134']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3423038751143717
- 35 USC 102 Novelty (BERT): 0.5508651062694365
- Combined Prediction Score: 0.3631599982298782
- Mean Citation Score: 251.397054
- Max Citation Score: 424.22513
- Similarity Product: 352.09456192692454

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

Dataset: test