PATENT CLAIM ANALYSIS

Application Number: 15972875
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["705", "037000"]

Abstract:
Embodiments are described for a virtual currency exchange system having a network connecting a plurality of users. Each user may create a profile and engage with one another to send, receive, and trade for goods and services using a plurality of currencies.

Claim (Index 1):
One or more computer storage hardware devices storing computer-usable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform a method within a system, the method comprising the steps of:\n a. storing an account for each of a plurality of users; b. generating a unique virtual storage component for each user; c. creating requests for currency, wherein each request creates a predetermined number of credits d. storing credits in the virtual wallet; e. receiving a plurality of requests from a first user to transfer credits to a second user; and f. transferring credits based on the request from the first user, wherein the first user performs an action on a social media network, wherein the action is tracked to result in a value, wherein the value corresponds to a value of credit, and wherein the credit is transferred from the second user to the first user.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 93.0
- Lexical Diversity: 1.31429
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12839993', '13584717', '13966216', '13276968', '15485228']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1088526046380304
- 35 USC 102 Novelty (BERT): 0.4698845952129797
- Combined Prediction Score: 0.1449558036955253
- Mean Citation Score: 186.587592
- Max Citation Score: 196.31331
- Similarity Product: 158.0495337081009

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

Dataset: test