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 13):
The client device of  claim 12 , wherein the first contextual information includes first network association information that indicates one or more other networks for which authentication credentials are usable to rove to the other network, and the acts further comprise sending the authentication request to the visited network based at least on the second contextual information of the visited network including second network association information that at least partly overlaps with the first network association information.

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): 0.2781364285155437
- 35 USC 102 Novelty (BERT): 0.538337939875264
- Combined Prediction Score: 0.3041565796515158
- Mean Citation Score: 197.573106
- Max Citation Score: 385.51514
- Similarity Product: 268.2006500502634

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