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 11):
A method for implementing in a system for group tagging, comprising:\n obtaining, by one or more processors, a first subset of users from a plurality of users and one or more first tags associated with the first subset of users, wherein the plurality of users and a plurality of data fields associated with the plurality of uses are part of platform data; determine, by the one or more processors, one or more key data fields by, for each of the one or more of the plurality of data fields,\n determining, by the one or more processors, at least a difference between the first subset of users and at least part of the plurality of users; and \n in response to a determining determination of the difference exceeding a first threshold, determining, by the one or more processors, the corresponding data field as a key data field; \n determining, by the one or more processors, data of the corresponding one or more key data fields associated with the first subset of users as positive samples; obtaining, by the one or more processors, based on the one or more key data fields, from the platform data, a second subset of users and data associated with the second subset of users as negative samples; and training a rule model with the positive samples and the negative samples to obtain a trained group tagging rule model.

Metadata:
- Claim Count in Document: 45.0
- Percentile: 93.0
- Lexical Diversity: 2.46269
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15928865', '15169729', '15889947', '13175674', '14480353']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1995461078417409
- 35 USC 102 Novelty (BERT): 0.472594327225445
- Combined Prediction Score: 0.2268509297801113
- Mean Citation Score: 148.714728
- Max Citation Score: 155.25322
- Similarity Product: 106.94759419467208

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