PATENT CLAIM ANALYSIS

Application Number: 15862219
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-10
Patent Classification: ["706", "012000"]

Abstract:
An artificial intelligence system for communicating predicted hours of operation to a client device. The system may include a processor in communication with a client device and a database; and a storage medium storing instructions. When executed, the instructions in the storage medium configure the processor to: receive, from the client device, a request for hours of operation of a merchant, the request specifying a day of the week; obtain, from the database in response to the request, a set of credit card authorizations associated with the merchant; determine a selected day authorizations subset by selecting, from the set of credit card authorizations, credit card authorizations issued on the specified day of the week; generate a posted transaction array based on the selected day authorizations subset, the posted transaction array may include a plurality of time intervals and numbers of transactions for the time intervals; generate a predictions list based on the posted transaction array, the predictions list including the time intervals and prediction indications for the time intervals; and communicate the predictions list to the client device.

Claim (Index 40):
An artificial intelligence method for generating an hours-of-operation model for a prediction system, the method comprising:\n receiving, from a prediction system, a request for an hours-of-operation model for a merchant; determining a merchant classification for the merchant based on metadata associated with the merchant; obtaining, from a ground truth analyzer, ground-truth data associated with the merchant classification; obtaining, from the database, a set of credit card authorizations associated with the merchant classification; generating input model features based on the set of credit card authorizations; generating a training data set and a validation data set based on the ground-truth data and the set of credit card authorizations; determining an hours-of-operation model based on training data set and the input model features; determining a performance of the hours-of-operation model based on the validation data set; and communicating the hours-of-operation model for the merchant to the prediction system.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 2.71233
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['10863813', '11677517', '15697375', '12966213', '11012812']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4236706134569115
- 35 USC 102 Novelty (BERT): 0.4796277361630344
- Combined Prediction Score: 0.4292663257275237
- Mean Citation Score: 207.371798
- Max Citation Score: 213.67242
- Similarity Product: 159.9497239643526

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