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 5):
The method of  claim 1 , wherein, for at least one of the plurality of first electronic activities, generating the first feature array comprises:\n comparing, by the one or more processors, the at least one electronic activity with at least a second electronic activity of the plurality of electronic activities to determine a difference in the content between the at least one electronic activity and the second electronic activity; determining, by the one or more processors, that the difference in content is below a threshold; and generating, by the one or more processors, the feature array for the at least one electronic activity based on determining that the difference in content is below the threshold.

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): 0.2874204237091717
- 35 USC 102 Novelty (BERT): 0.5171119192069337
- Combined Prediction Score: 0.310389573258948
- Mean Citation Score: 313.9519200000001
- Max Citation Score: 317.36243
- Similarity Product: 257.5196026120657

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