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 In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance.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delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests.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 4):
The computer-implemented method of  claim 3 , wherein updating the clustering criterion based on the determined features further comprises updating the clustering criterion to discount the determined features.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 1.61667
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14578189', '14578050', '14578099', '15888860', '14942728']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3944322832433702
- 35 USC 102 Novelty (BERT): 0.5307870887583079
- Combined Prediction Score: 0.4080677637948641
- Mean Citation Score: 316.780138
- Max Citation Score: 386.06497
- Similarity Product: 242.9376605820609

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