PATENT CLAIM ANALYSIS

Application Number: 15880287
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["379", "088180"]

Abstract:
Systems and methods for call detail record (CDR) analysis to determine a risk score for a call and identify fraudulent activity and for fraud detection in Interactive Voice Response (IVR) systems. An example method may store information extracted from received calls. Queries of the stored information may be performed to select data using keys, wherein each key relates to one of the received calls, and wherein the queries are parallelized. The selected data may be transformed into feature vectors, wherein each feature vector relates to one of the received calls and includes a velocity feature and at least one of a behavior feature or a reputation feature. A risk score for the call may be generated during the call based on the feature vectors.

Claim (Index 6):
The computer-implemented method of  claim 1 , wherein the created feature vector is based on a behavior feature of the call; and\n wherein the behavior feature of the call is at least one of an action taken during interaction with an IVR system, an amount of time elapsed between actions taken during interaction with an IVR system, providing incorrect information to an IVR system, a number of times a specific activity in an IVR was performed, a number of times an IVR was called during a measure of time, a volume or a duration of at least one DTMF tone during interaction with an IVR system, an amount of time elapsed between DTMF tones, a use of voice during interaction with an IVR system, an amount of time elapsed between a beginning of an IVR prompt and a user's spoken response to the IVR prompt, or an amount of time elapsed between an IVR prompt and an action taken during interaction with an IVR system.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 86.0
- Lexical Diversity: 1.78947
- Patent Class: 379.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15294538', '15294576', '15646532', '15658994', '15801019']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6112242711352674
- 35 USC 102 Novelty (BERT): 0.5653607023180106
- Combined Prediction Score: 0.6066379142535417
- Mean Citation Score: 344.368738
- Max Citation Score: 530.8562
- Similarity Product: 358.15954529069666

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