PATENT CLAIM ANALYSIS

Application Number: 15988950
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["726", "005000"]

Abstract:
Disclosed herein are systems and methods for determining learned associations between authentication credentials and network contextual data, such as may be utilized in a network that supports network roving. A mobile device attempts to rove to a visited network using authentication credentials associated with another network, based at least in part on first contextual information associated with the other network and second contextual information associated with the visited network indicating that the visited network is part of a common association of networks that supports roving internetworking between the networks of the common association.

Claim (Index 10):
The method of  claim 1 , wherein the other authentication credentials are first authentication credentials, and the method further comprises:\n determining that a plurality of authentication credentials, including the first authentication credentials, are associated with contextual information that at least partially matches the second contextual information associated with the visited network; and prioritizing the plurality of authentication credentials for authenticating to the visited network based at least on one or more of:\n degrees of similarity between the contextual information associated with the plurality of authentication credentials and the second contextual information of the visited network; \n specificity of the contextual information associated with of the plurality of authentication credentials; and \n information regarding previous attempts to authenticate using individual ones of the plurality of authentication credentials.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 1.73214
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14748031', '15348939', '13243185', '10996439', '13848757']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2764535127187226
- 35 USC 102 Novelty (BERT): 0.540001511394263
- Combined Prediction Score: 0.3028083125862766
- Mean Citation Score: 197.573106
- Max Citation Score: 385.51514
- Similarity Product: 329.2579067024232

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

Dataset: test