PATENT CLAIM ANALYSIS

Application Number: 16015710
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["709", "201000"]

Abstract:
An online machine data collection and archiving process generates a machine data profile of a customer computer accessing a transaction form of a merchant web site and links the machine data profile and a transaction record with customer identifying information using a unique transaction identification string. The process preferably captures parameters typically communicated as a part of web accesses, such as an IP address, an HTTP header, and cookie information. The process additionally causes the customer computer to process self-identification routines by processing coding within the merchant transaction form, the self-identification routines yielding further profile parameters. The process further includes a routine for bypassing an intervening proxy to the merchant web site to reveal the true IP address of the customer computer.

Claim (Index 1):
A method for identifying a device involved in an online transaction, the method comprising:\n receiving a communication from the device in response to the online transaction; determining device identification information from the received communication, wherein the device identification information identifies the device; storing the device identification information in association with the online transaction, and monitoring additional transactions for marketing purposes based at least in part on comparing the stored device identification information for the online transaction with information about another online transaction.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 94.0
- Lexical Diversity: 1.9403
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13107811', '14664200', '09873339', '12607335', '13107813']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3345380819321316
- 35 USC 102 Novelty (BERT): 0.5716284335392399
- Combined Prediction Score: 0.3582471170928424
- Mean Citation Score: 462.365114
- Max Citation Score: 481.85916
- Similarity Product: 394.1165714331078

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