PATENT CLAIM ANALYSIS

Application Number: 15867630
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["455", "411000"]

Abstract:
Briefly, in accordance with one embodiment, a method and/or system for mobile identity authentication is disclosed. For example, mobile identity authentication may be employed in a variety of situations, including purchases, financial transactions, granted access to accounts, granting access to content, etc.

Claim (Index 29):
An apparatus comprising: a computing device; said computing device operable to associate a mobile subscriber identifier with a pre-established mobile identity for a mobile subscriber in a database entry of a mobile database and to expand the database entry to be capable to provide more accurate and/or timelier mobile identity authentication (MIA) responses regarding the mobile subscriber to a third party request for mobile identity authentication (MIA) of the mobile subscriber so as to reduce reliance on a mobile identity authentication (MIA) default, including reliance by the third party making the request for mobile identity authentication (MIA), and to consequently reduce risk of incorrectly failing to authenticate the mobile identity as valid to the third party making the request for mobile identity authentication (MIA) of the mobile subscriber.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 1.40541
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14518765', '14676029', '12488943', '12995636', '11547444']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6499273234144549
- 35 USC 102 Novelty (BERT): 0.4608880860106536
- Combined Prediction Score: 0.6310233996740748
- Mean Citation Score: 159.447698
- Max Citation Score: 224.65807
- Similarity Product: 223.4214956999361

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