PATENT CLAIM ANALYSIS

Application Number: 16015160
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["709", "203000"]

Abstract:
An improved method and system for identifying individual users accessing a web site. A web site server is able to identify distinct users by using a unique identifier associated with each client computer system requesting access to the web site. The unique identifier comprises an Internet address, such as an Internet Protocol (IP) address, and a time value associated with each client computer system requesting access to the web site. On starting up a web browser, an application program or browser plug-in may synchronize the internal clock included with the client computer system with a global time standard. The synchronized time value may be based on an event associated with the client computer system, such as the start of a web browser. A web site server may determine the uniqueness of the client computer system by comparing unique identifier records of users accessing the web site. A user may be identified as distinct if no matching record exists in the database. Multiple client computer systems having a common Internet address may be identified by using this method. Users privacy is also protected as the unique identifiers are erased when the client computer system's user exits the web browser or powers down the computer.

Claim (Index 4):
The method of  claim 1 , wherein said time value is generated by a time keeping device, wherein said time keeping device is configured to synchronize said time value with a global time keeping standard clock.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 94.0
- Lexical Diversity: 2.21212
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['09588879', '13159127', '13335614', '14495330', '12045693']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3124768365691588
- 35 USC 102 Novelty (BERT): 0.536456227389759
- Combined Prediction Score: 0.3348747756512188
- Mean Citation Score: 331.97479
- Max Citation Score: 372.55496
- Similarity Product: 370.75518541564463

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