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 16):
A computer program product, the computer program product stored on a non-transitory computer-readable medium and including instructions configured to cause a processor to execute steps comprising:\n maintaining a parking prediction model trained on training data; receiving input data, the input data including a destination; identifying at least one parking venue near the destination; identifying an event occurring at an event venue near the destination; retrieving a capacity for the event venue and an event type for the identified event; calculating a crowd index based on the retrieved capacity and the event type, wherein the crowd index is indicative of an estimate of a crowd size at the destination; determining at least one parking prediction corresponding to the identified at least one parking venue based at least in part on applying the input data and the calculated crowd index to the parking prediction model; and presenting the identified at least one parking venue and the at least one parking prediction to a user.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.88372
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15676396', '14548179', '14071054', '15693086', '12981278']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6539354500823669
- 35 USC 102 Novelty (BERT): 0.5449081461586902
- Combined Prediction Score: 0.6430327196899992
- Mean Citation Score: 248.453126
- Max Citation Score: 375.78802
- Similarity Product: 346.09915514629364

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