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 14):
The client device of  claim 11 , wherein the first contextual information includes first physical location information corresponding to another network for which the other authentication credentials are usable to authenticate, the second contextual information includes second physical location information corresponding to the visited network, and the acts further comprise determining that there is at least partial agreement between the first contextual information and the second contextual information based at least in part on the first physical location information being associated with the second physical location 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): 0.2762805487580729
- 35 USC 102 Novelty (BERT): 0.5401727712485651
- Combined Prediction Score: 0.3026697710071221
- Mean Citation Score: 197.573106
- Max Citation Score: 385.51514
- Similarity Product: 335.54601726208216

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