PATENT CLAIM ANALYSIS

Application Number: 16053431
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2020-02
Patent Classification: ["null", "null"]

Abstract:
A device receives, in real-time, a request to share data. The request includes an account identifier and a merchant identifier. The device obtains transaction data associated with the account identifier included in the request, and obtains merchant attributes associated with the merchant identifier included in the request. The device determines, using a first model, a plurality of first scores for a plurality of transaction records included in the transaction data, based on the merchant attributes, where the plurality of first scores predict a measure of relevancy of the plurality of transaction records to the merchant identifier. The device identifies at least one relevant transaction record of the plurality of transaction records based on the plurality of first scores, and transmits the at least one relevant transaction record to cause an action to be performed.

Claim (Index 16):
A non-transitory computer-readable medium storing instructions, the instructions comprising:\n one or more instructions that, when executed by one or more processors, cause the one or more processors to:\n receive, in real-time, a request to share data,\n wherein the request includes:\n an account identifier, and \n a merchant identifier, and \n \n wherein the request corresponds to a particular transaction; \n obtain transaction data associated with the account identifier included in the request, \n the transaction data including a plurality of transaction records,\n each transaction record, of the plurality of transaction records, including transaction metadata for a respective transaction associated with the account identifier; \n \n obtain merchant attributes corresponding to a merchant identified by the merchant identifier included in the request,\n the merchant attributes identifying at least one competitor of the merchant; \n \n determine, using a first model, a plurality of first scores for a plurality of transaction records included in the transaction data, based on the merchant attributes,\n wherein the plurality of first scores predict a measure of relevancy of the plurality of transaction records to the merchant identifier, \n wherein the first model is a machine learning model trained to: \n \u2003receive, as input, the merchant attributes and at least a portion of the transaction metadata, \n \u2003\u2003the at least the portion of the transaction metadata including information identifying a particular competitor, of the at least one competitor of the merchant, and \n \u2003produce, as output, the plurality of first scores, and \n wherein a particular first score, of the plurality of first scores, for a particular transaction record, of the plurality of transaction records, is based on \n \n the information identifying the particular competitor; \n identify a plurality of relevant transaction records, of the plurality of transaction records, based on the plurality of first scores,\n the plurality of relevant transaction records including the particular transaction record; \n \n generate data representing a monetary amount based on information contained in the particular transaction record; and \n transmit the data representing the monetary amount to cause an action to be performed with respect to the particular transaction.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 96.0
- Lexical Diversity: 2.82692
- Patent Class: nan
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['10245789', '14729537', '14734342', '13860395', '13735559']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5857419241060183
- 35 USC 102 Novelty (BERT): 0.4718541802050112
- Combined Prediction Score: 0.5743531497159177
- Mean Citation Score: 211.21566600000003
- Max Citation Score: 213.96452
- Similarity Product: 166.9542111424279

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