PATENT CLAIM ANALYSIS

Application Number: 16006075
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["705", "014530"]

Abstract:
In certain aspects, the disclosed implementations include methods and systems for dynamically generating and providing transaction affinity recommendation data. In certain implementations, the transaction affinity recommendation data may include information that identifies a target merchant and associated merchant promotion data that may be generated based on a dynamic analysis of transaction data corresponding to an account record. The disclosed implementations may determine temporal relationships between pairs of sequential transactions corresponding to the account record, and based on such relationships, may identify pairs of transactions involving separate merchants. The disclosed implementations may determine affinity relationships associated with one or more pairs of the temporally related transactions and a target merchant, and based on such relationships, generate and provide the transaction affinity recommendation data.

Claim (Index 22):
The method of  claim 15 , wherein providing the at least one portion of the first merchant recommendation data comprises:\n providing:\n at least one merchant logo, \n map information, or \n at least one hyperlink.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 94.0
- Lexical Diversity: 2.12903
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14647119', '14089218', '15811541', '14949305', '09675412']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1164440508211672
- 35 USC 102 Novelty (BERT): 0.4896190399283279
- Combined Prediction Score: 0.1537615497318832
- Mean Citation Score: 174.16868200000005
- Max Citation Score: 194.17938
- Similarity Product: 130.886582792902

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

Dataset: test