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 16):
The method of  claim 11 , wherein the difference is a Kullback-Leibler divergence.

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): 0.2216956686801028
- 35 USC 102 Novelty (BERT): 0.4613806855978847
- Combined Prediction Score: 0.245664170371881
- Mean Citation Score: 148.714728
- Max Citation Score: 155.25322
- Similarity Product: 119.4557696811867

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