PATENT CLAIM ANALYSIS

Application Number: 16059014
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2020-02
Patent Classification: ["null", "null"]

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 20):
A system comprising:\n one or more memory devices for storing instructions; and one or more processors configured to execute instructions to:\n receive, from a consumer system, a recommendation request, the recommendation request comprising historical merchant review data associated with a merchant and identifying a location associated with the merchant; \n in response to receiving the recommendation request:\n retrieve authorization data associated with a transaction made using a transaction card of a user at a merchant device associated with the merchant; \n retrieve posted transaction data, the posted transaction data corresponding to the authorization data; \n retrieve merchant review data for the merchant; \n determine a tip amount associated with the transaction based on the authorization data and the posted transaction data; \n retrieve historical tip data associated with the user, the historical tip data associated with the user comprising historical tip amounts associated with the user; \n select at least a portion of the historical tip data associated with the user based on the location; \n normalize the selected portion of the historical tip data associated with the user; \n retrieve historical tip data associated with other users, the historical tip data associated with the other users comprising historical tip amounts associated with the other users; \n select at least a portion of the historical tip data associated with the other users based on the location; \n normalize the selected portion of the historical tip data associated with the other users; \n determine a user sentiment value for the merchant based on the normalized historical tip data associated with the user and the normalized historical tip data associated with the other users, the user sentiment value representing a user sentiment for the merchant; \n modify the merchant review data based on the user sentiment value; and \n provide the merchant review data to the consumer system.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 2.16216
- Patent Class: nan
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15900312', '14472641', '15843954', '15959119', '15797644']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5203042865284501
- 35 USC 102 Novelty (BERT): 0.4810834425530951
- Combined Prediction Score: 0.5163822021309146
- Mean Citation Score: 204.020774
- Max Citation Score: 240.16148
- Similarity Product: 204.44671976881983

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

Dataset: test