PATENT CLAIM ANALYSIS

Application Number: 15874676
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["705", "040000"]

Abstract:
The disclosed embodiments provide systems, methods, and techniques for managing merchandising cards. A merchandising card may be, for example, a gift card, loyalty card, or the like. Consistent disclosed embodiments, a system for managing merchandising cards may include one or more memory devices storing instructions and one or more processors configured to acquire, from a device over a network, a plurality of locations associated with the device, the device locations being acquired at different instances in time within a predetermined period of time. Additionally, the processor may be configured to calculate a merchant confidence rating for a merchant using the device locations. Further, the one or more processors may be configured to, based on the merchant confidence rating, determine that the merchant matches a merchant that is associated with merchandising card, and send a reminder a user of the device.

Claim (Index 29):
The electronic system of  claim 28 , wherein the processor is further configured to execute instructions to:\n determine the characteristic based on a machine learning algorithm, wherein the machine learning algorithm receives the stored determination of whether the final tip amount matches the first tip recommendation.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 86.0
- Lexical Diversity: 2.16216
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15792890', '15863587', '15832449', '15843954', '14548020']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1246038105573059
- 35 USC 102 Novelty (BERT): 0.4999074118056464
- Combined Prediction Score: 0.16213417068214
- Mean Citation Score: 213.340526
- Max Citation Score: 215.79942000000003
- Similarity Product: 135.82029936418536

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