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 10):
The system of  claim 8 , wherein the operations further comprise:\n in response to a condition associated with an expiration value of the updated time data being determined to have been satisfied, generating an updated expiration value, which updates the expiration value, to be sent to the network 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): 0.7430497988144901
- 35 USC 102 Novelty (BERT): 0.51479472988576
- Combined Prediction Score: 0.7202242919216171
- Mean Citation Score: 255.575178
- Max Citation Score: 306.22614
- Similarity Product: 235.9999736575341

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