PATENT CLAIM ANALYSIS

Application Number: 15980702
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["705", "013000"]

Abstract:
Systems and methods for processing at least one service request for an on-demand service are provided. The systems may perform the methods to obtain a plurality of example service orders, each example service order of the plurality of example service orders may include a feature associated with a section of a plurality of sections of a measurement; cluster the plurality of example service orders into a plurality of subsets of example service orders, the feature of each example service order in a same subset of example service orders may be associated with a same section of the measurement; for each of the plurality of subsets of example service orders, train a first model of estimated time of arrival (first ETA model) using the subset of example service orders; and store structured data in the at least one storage medium encoding the plurality of first ETA models.

Claim (Index 16):
The method of  claim 12 , wherein clustering the plurality of example service orders into a plurality of subsets of example service orders, further comprising:\n determining a plurality of accuracy scores for the plurality first ETA models; and selecting the at least one second ETA model based on the plurality of accuracy scores.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.51613
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15980643', '15547528', '15566723', '15662407', '15844027']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1094534738546837
- 35 USC 102 Novelty (BERT): 0.4937991476741687
- Combined Prediction Score: 0.1478880412366322
- Mean Citation Score: 164.503756
- Max Citation Score: 241.19911
- Similarity Product: 176.64847755209385

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test