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 20):
A method for group tagging, comprising:\n obtaining, by one or more processors, a first subset of a plurality of entities of a platform, wherein the first subset of the plurality of entities are tagged with first tags, and platform data of the platform comprises data of the plurality of entities with respect to one or more data fields; determining at least a difference between data associated with the one or more data fields of the first subset of the plurality of entities and that of some other entities of the plurality of entities; in response to a determination of the difference exceeding a first threshold, obtaining corresponding data associated with the first subset of the plurality of entities as positive samples, and corresponding data associated with a second subset of the plurality of entities as negative samples; and training a rule model with the positive samples and the negative samples to obtain a trained group tagging rule model, wherein the trained group tagging rule model determines if an existing or new entity is entitled to the first tag.

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): 0.1993798294247646
- 35 USC 102 Novelty (BERT): 0.473569522364711
- Combined Prediction Score: 0.2267987987187593
- Mean Citation Score: 148.714728
- Max Citation Score: 155.25322
- Similarity Product: 106.04550473923084

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