PATENT CLAIM ANALYSIS

Application Number: 16201883
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-04
Patent Classification: ["709", "203000"]

Abstract:
Systems and methods for managing content delivery functionalities based on machine learning models are provided. In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance. In another aspect, content delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests. The model may also be used to determine above-the-fold configurations for rendering responses to content requests. In some embodiments, portions of the model can be executed on client computing devices.

Claim (Index 8):
A system comprising:\n a data store configured to at least store computer-executable instructions; and a hardware processor in communication with the data store, the hardware processor configured to execute the computer-executable instructions to at least:\n determine that a request for a network resource corresponds to a first group of content request associated with a first content serving computing device, wherein the first group is associated with the first content serving computing device based on a grouping criterion; \n route the request to the first content serving computing device; \n obtain cache performance data associated with the request; \n update the grouping criterion using at least the obtained cache performance data; \n generate an updated first group using the updated grouping criterion; and \n re-associate the first content serving computing device with the updated first group.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 1.61667
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14578189', '14578050', '14578099', '15888860', '14942728']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.363631010117205
- 35 USC 102 Novelty (BERT): 0.5309589075126658
- Combined Prediction Score: 0.3803637998567511
- Mean Citation Score: 316.780138
- Max Citation Score: 386.06497
- Similarity Product: 329.6728726799738

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

Dataset: test