PATENT CLAIM ANALYSIS

Application Number: 15979556
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-10
Patent Classification: ["707", "741000"]

Abstract:
Systems and methods are provided for group tagging. Such system may comprise processors accessible to platform data that comprises a plurality of users and a plurality of associated data fields, and a memory storing instructions that, when executed by the processors, cause the system to perform a method. The method may comprise obtaining a first subset users and associated first tags; determining, respectively for the associated data fields, at least a difference between the first subset users and at least some of the plurality of users; responsive to determining the difference exceeding a first threshold, determining the data field as a key data field; determining data of the corresponding key data fields associated with the first subset users as positive samples; obtaining, based on the key data fields, a second subset users and associated data as negative samples; and training a rule model with the positive and negative samples.

Claim (Index 4):
The system of  claim 1 , wherein to obtain the first subset of users, the one or more processors further receive identifications of the first subset of users from one or more entities without full access to the platform data.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 93.0
- Lexical Diversity: 2.46269
- Patent Class: 707.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15928865', '15169729', '15889947', '13175674', '14480353']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2186305600834284
- 35 USC 102 Novelty (BERT): 0.4780853523478075
- Combined Prediction Score: 0.2445760393098663
- Mean Citation Score: 148.714728
- Max Citation Score: 155.25322
- Similarity Product: 103.98998301268576

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

Dataset: test