PATENT CLAIM ANALYSIS

Application Number: 16371048
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-11
Patent Classification: ["709", "224000"]

Abstract:
This disclosure relates to methods, systems, and storage media for generating a performance profile of a node profile. First electronic activities linked to a first node profile can be accessed. For each first electronic activity, a type of the first electronic activity can be determined. A feature extraction policy can be selected to generate a first feature array for the first electronic activity. The first feature array for the first electronic activity can be generated based on the type of the first electronic activity. A first performance profile of the first node profile can be generated for the time period by providing the generated first feature array for each first electronic activity to one or more models trained using second feature arrays corresponding to second electronic activities of second node profiles. An association between the first node profile and the first performance profile can be stored.

Claim (Index 6):
The method of  claim 1 , wherein, for at least one of the first electronic activities, generating the first feature array comprises:\n identifying, by the one or more processors, a recipient of the at least one electronic activity; determining, by the one or more processors, that none of the plurality of first electronic activities were sent from the identified recipient; and generating, by the one or more processors, the feature array for the at least one electronic activity based on the determination that none of the remaining electronic activities of the plurality of first electronic activities were sent from the identified recipient.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.55738
- Patent Class: 709.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16371042', '16360884', '16360933', '16360997', '16360866']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2872731640160523
- 35 USC 102 Novelty (BERT): 0.5190487719952311
- Combined Prediction Score: 0.3104507248139702
- Mean Citation Score: 313.9519200000001
- Max Citation Score: 317.36243
- Similarity Product: 242.995989400248

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