PATENT CLAIM ANALYSIS

Application Number: 15934427
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["463", "017000"]

Abstract:
In some embodiments, the instant invention provides for a computer-implemented method, performed by a specifically programmed computer system, that that includes: displaying choices to be selected to define a personalized betting game; receiving selected choices, identifying: i) an event, ii) a plurality of markets, and iii) a plurality of potential outcomes; establishing a personalized data structure representative of data relationships among the selected choices, hereby resulting in a personalized betting game of a user; automatically updating the at least one first personalized data structure based, at least in part, on real-time changes; receiving an entry payment from the user to play the at least one first personalized betting game; determining an actual outcome of the personalized betting game; and determining a reward to be distributed to the user.

Claim (Index 7):
The method of  claim 1 , wherein the method further comprising,\n automatically completing, by the specifically programmed computer system, the at least one first personalized betting game for playing, by incorporating playing options into the at least one first personalized betting game based, at least in part, on the selected choices.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.96053
- Patent Class: 463.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14020248', '14532929', '13935996', '15849157', '14990706']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2943671939517402
- 35 USC 102 Novelty (BERT): 0.5572219743799339
- Combined Prediction Score: 0.3206526719945596
- Mean Citation Score: 283.401632
- Max Citation Score: 452.7632
- Similarity Product: 406.02761252565386

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

Dataset: test