PATENT CLAIM ANALYSIS

Application Number: 16291933
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-06
Patent Classification: ["455", "418000"]

Abstract:
An approach is provided in which an information handling system identifies registration-based messages sent from services over a computer network to a mobile device. The registration-based messages correspond to registering a first mobile number assigned to the mobile device to the plurality of services. The information handling system then combines registration information extracted from each of the registration-based messages into a set of registration results. Next, the information handling system identifies a set of transaction results corresponding to transactions between the first mobile number and at least one of the services, and generates an analytics report based on performing statistical analysis on the set of transaction results and the set of registration results. In turn, the information handling system provides the set of registration results and the analytics report to a user assigned to the mobile number.

Claim (Index 3):
The method of  claim 1  further comprising:\n collecting, from a plurality of service providers, a plurality of incoming messages sent to the first mobile number; \n identifying a set of transaction messages included in the plurality of incoming messages, wherein the set of transaction messages correspond to the one or more transactions between the first mobile number and at least one of the plurality of services; \n combining transaction information extracted from the set of transaction messages into the set of transaction results; and \n providing the set of transaction results to the user.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 99.0
- Lexical Diversity: 2.30159
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16291903', '15806948', '16291953', '10969760', '16039773']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7109814016080032
- 35 USC 102 Novelty (BERT): 0.5399108815397221
- Combined Prediction Score: 0.6938743496011751
- Mean Citation Score: 278.70621800000004
- Max Citation Score: 388.25006
- Similarity Product: 385.58492207365873

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