PATENT CLAIM ANALYSIS

Application Number: 16297559
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["340", "932200"]

Abstract:
A system and method for identifying a potential parking violation for a location includes storing and rating parking violation related data, and notifying a user, by a computing system communicating with a user's computing device, of the potential parking violation and how to avoid receiving the potential parking violation citation. The data is stored in a database and clustered by data types. The user's computing device is used to identify user type, location, and time. A user engagement panel is used to share and rate parking violation related data and notifications, and rewards are allocated to a user for contributing useful data. Highly rated data may be incorporated into the notifications. The data is analyzed to predict or infer a violation. A notification corresponding to a current location and user type are generated when violations are predicted.

Claim (Index 26):
The method according to  claim 21 , wherein the one or more users who provide the one or more positive ratings have first-hand experience, and wherein the first-hand experience is identified by receiving the notification, or by passing or having passed within a predetermined distance of the present location.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 99.0
- Lexical Diversity: 2.14085
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15973217', '15382240', '15617881', '14832584', '16272912']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7943601106516169
- 35 USC 102 Novelty (BERT): 0.5681052477040659
- Combined Prediction Score: 0.7717346243568619
- Mean Citation Score: 420.15322
- Max Citation Score: 502.59326
- Similarity Product: 308.6990093125844

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