PATENT CLAIM ANALYSIS

Application Number: 16154658
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["455", "003010"]

Abstract:
A network system customizes communications and communication channels for delivery to candidate providers registering with the network system. Candidate providers progress through steps of a network registration process by providing input data at the various steps. The network system provides communications to request the input data and facilitate the candidate providers' progress. The network system can use a machine learning model to predict particular types of communications and communication channels (e.g., online messages, phone calls, physical mail, etc.) that are likely to be well-received by candidate providers. Thus, the network system is able to increase the expected number of candidate providers that successfully register to provide services to other users of the network system.

Claim (Index 17):
The non-transitory computer readable storage medium of  claim 10 , having further instructions that when executed by the one or more processors cause the one or more processors to:\n select the communication from a plurality of communications each requesting information for a different one of: driver license, vehicle insurance, and vehicle inspection, wherein the service is transportation service.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 1.77778
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15621959', '15365855', '15478184', '15360653', '14925358']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6766071478841976
- 35 USC 102 Novelty (BERT): 0.505663157906027
- Combined Prediction Score: 0.6595127488863806
- Mean Citation Score: 170.965572
- Max Citation Score: 270.96115
- Similarity Product: 209.1636809389233

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