PATENT CLAIM ANALYSIS

Application Number: 15972986
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["726", "025000"]

Abstract:
Aspects of an abuse detection system for a web service include an abuse detection engine executing on a server. The abuse detection engine includes a pre-processing module for aggregating a data set for processing and analysis; a suspiciousness test module for identifying suspicious content owners and suspicious users; a graphing module for finding connections between suspicious content owners and suspicious users; an analysis module for determining which groups are constituted of fraudulent or abusive accounts; and a notification generation and output module for generating a list of abusive entities and a notification for output to at least one of: the abusive entity, a digital content distribution company associated with the abusive entity, and a legal department or other entity for further investigation or action. Additionally, royalties for content consumptions associated with abusive accounts may be held. Aspects of an abusive traffic detection method enable multi-account and multi-content owner fraud detection.

Claim (Index 3):
The method of  claim 1 , wherein aggregating the set of consumption data comprises aggregating a set of consumption data associated with consumption within a predetermined time period.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 1.90588
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14739787', '14035535', '13909682', '13909711', '12561875']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2395644238489307
- 35 USC 102 Novelty (BERT): 0.5954728181755637
- Combined Prediction Score: 0.275155263281594
- Mean Citation Score: 240.693822
- Max Citation Score: 482.53766
- Similarity Product: 478.7433297453357

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

Dataset: test