PATENT CLAIM ANALYSIS

Application Number: 16178929
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["706", "012000"]

Abstract:
Systems and methods enable intelligent online user classification and cohort detection within an electronic communications environment includes accessing electronic communication data exchanged between a plurality of online users; processing the electronic communication data by (i) extracting cohort data features from the electronic communication data; (ii) allowing the extracted cohort data features, as input, into a cohort grouping circuit; (iii) identifying, by the cohort grouping circuit, at least one cohort grouping comprising a subset of online users of the plurality of online users based on an output of the cohort grouping circuit; wherein the cohort grouping circuit uses the extracted cohort data features to generate a cohort network mapping that illustrates connections between the subset of online users defining the at least one cohort grouping.

Claim (Index 6):
An online method that enables intelligent online user classification and cohort detection within an electronic communications environment based on electronic communications data, the online method comprising:\n at an electronic communication networking service that is implemented by one or more networked computing servers:\n accessing electronic communication data exchanged between a plurality of online users; \n processing the electronic communication data by:\n (i) extracting cohort data features from the electronic communication data; \n (ii) allowing the extracted cohort data features, as input, into a cohort grouping circuit; \n (iii) identifying, by the cohort grouping circuit, at least one cohort grouping comprising a subset of online users of the plurality of online users based on an output of the cohort grouping circuit; \n \n wherein the cohort grouping circuit uses the extracted cohort data features to generate a cohort network mapping that illustrates connections between the subset of online users defining the at least one cohort grouping.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 98.0
- Lexical Diversity: 2.13846
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15995865', '15801043', '15715332', '11193691', '14975756']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3254673440550929
- 35 USC 102 Novelty (BERT): 0.490518368579296
- Combined Prediction Score: 0.3419724465075132
- Mean Citation Score: 161.50820399999995
- Max Citation Score: 214.90756
- Similarity Product: 156.9613524929476

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

Dataset: test