PATENT CLAIM ANALYSIS

Application Number: 16142524
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-04
Patent Classification: ["726", "023000"]

Abstract:
A method, a system, and an article are provided for detecting and managing anomalies associated with content presentations. An example computer-implemented method includes: obtaining a stream of data including a record of software installations on a plurality of client devices; processing the stream of data using a real-time anomaly detector to detect a first anomaly indicating that a client device was previously associated with fraudulent software installation activity; aggregating the stream of data to generate a batch record of software installations for each publisher from a plurality of content publishers; processing each batch record of software installations using a batch anomaly detector to detect a second anomaly indicating that at least one of the publishers is associated with fraudulent software installation activity; and facilitating an adjustment of content presentations on the client devices, based on at least one of the detected first anomaly and the detected second anomaly.

Claim (Index 10):
The method of  claim 1 , further comprising:\n identifying at least one of the client devices as being associated with the second anomaly; and adding the identified at least one of the client devices to a blacklist.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 97.0
- Lexical Diversity: 2.25714
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14285611', '12797904', '13693272', '11850855', '15633289']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2507045034592695
- 35 USC 102 Novelty (BERT): 0.4840639207168697
- Combined Prediction Score: 0.2740404451850295
- Mean Citation Score: 152.85029999999998
- Max Citation Score: 165.36636
- Similarity Product: 108.10893834988116

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