PATENT CLAIM ANALYSIS

Application Number: 16128809
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["340", "932200"]

Abstract:
A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.

Claim (Index 3):
The system of  claim 1 , wherein the training data is from at least one data source.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.88372
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15676396', '14548179', '14071054', '15693086', '12981278']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6814657348682017
- 35 USC 102 Novelty (BERT): 0.5468239052732893
- Combined Prediction Score: 0.6680015519087105
- Mean Citation Score: 248.453126
- Max Citation Score: 375.78802
- Similarity Product: 300.44421999151706

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