PATENT CLAIM ANALYSIS

Application Number: 16147681
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-04
Patent Classification: ["340", "425500"]

Abstract:
A computer-implemented system and method for registering vehicle identifications and registering users linked to them, searching users or vehicles for example with portions of user names or portions of vehicle identifications and, sending messages directed to registered users or directed to registered vehicles. In case the messages are directed to a registered vehicle, the message may be received by the user(s) linked to that vehicle in the system. The system may also provide for a method to link several users to a vehicle and several vehicles to a user and, a method for reassigning vehicle identifications to users, as a means to enable the use of vehicle identifications by users with the greatest interest in those particular vehicle identifications.

Claim (Index 7):
The method from  claim 4 , further comprising receiving from a requester user a registered vehicles' messaging personalization request with none, one or more than one constraint criteria identifying the matching information in the message sender's record to prevent message sending from server system to said requester and none, one or more than one constraint criteria identifying matching information in the message sender's record to allow message sending from server system to said requester.

Metadata:
- Claim Count in Document: 58.0
- Percentile: 97.0
- Lexical Diversity: 2.2807
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15152075', '15401771', '14925133', '15394101', '09539392']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6427002535765965
- 35 USC 102 Novelty (BERT): 0.5023979633748418
- Combined Prediction Score: 0.6286700245564211
- Mean Citation Score: 135.68347599999998
- Max Citation Score: 140.68007
- Similarity Product: 80.3974278522873

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