PATENT CLAIM ANALYSIS

Application Number: 16293827
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-06
Patent Classification: ["455", "422100"]

Abstract:
Collection of crowd-sourced access point quality and selection data for intelligent network selection can be utilized by mobile devices to self-learn and optimize access point device selection. A cloud-based application can be utilized in conjunction with the mobile device to build a database of access point quality and thresholds suitable for real-time and other jitter-sensitive services. The mobile device jitter measurements and selection thresholds can be collected and sent to a cloud platform, which creates an access point performance and selection threshold profile.

Claim (Index 16):
The machine-readable storage medium of  claim 15 , wherein the operations further comprise:\n receiving, from the mobile device, status data associated with a status of the access point device.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 1.64151
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15721326', '15721335', '16251404', '15721308', '14892377']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.743047495778655
- 35 USC 102 Novelty (BERT): 0.5148176207758061
- Combined Prediction Score: 0.7202245082783701
- Mean Citation Score: 255.575178
- Max Citation Score: 306.22614
- Similarity Product: 235.86271485531088

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

Dataset: test