PATENT CLAIM ANALYSIS

Application Number: 16231645
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-05
Patent Classification: ["714", "037000"]

Abstract:
A system and method for predictive ticketing in information technology (IT) systems. The method includes extracting a plurality of features from monitoring data related to an IT system, wherein the plurality of features includes at least one incident parameter, wherein the monitoring data includes machine-generated textual data; applying a machine learning model to the extracted plurality of features, wherein the machine learning model is configured to output a suitable insight for an incident represented by the at least one incident parameter, wherein the suitable insight is selected from among a plurality of historical insights; and generating a predictive ticket based on the suitable insight, wherein the predictive ticket includes a textual description of an expected future symptom in the IT system.

Claim (Index 16):
The system of  claim 12 , wherein the machine learning model is trained based on historical data including a plurality of historical tickets, wherein the machine learning model is created further using machine-learned ranking to identify similarities among the plurality of historical tickets, wherein the plurality of historical tickets is grouped into at least one set of historical tickets based on the identified similarities, wherein each set of historical tickets is associated with one of the plurality of historical root causes.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 98.0
- Lexical Diversity: 2.09524
- Patent Class: 714.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15785863', '13672365', '14929961', '12556275', '12428337']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3280837210982205
- 35 USC 102 Novelty (BERT): 0.5071563778219527
- Combined Prediction Score: 0.3459909867705937
- Mean Citation Score: 199.407418
- Max Citation Score: 283.70673
- Similarity Product: 207.9142615493596

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test