PATENT CLAIM ANALYSIS

Application Number: 15939602
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-11
Patent Classification: ["704", "009000"]

Abstract:
Client instance data including a plurality of incidents is obtained, each incident including a plurality of fields. A target field and an evaluation field are selected from among the plural fields. The plurality of incidents are grouped into a plurality of clusters based on a degree of a natural language text similarity of respective target fields in the plurality of incidents. A quality value is determined for each of the plurality of clusters based on the degree of the natural language text similarity of respective target fields in grouped incidents of the cluster from among the plurality of incidents, and based on respective evaluation fields. Each of the plurality of clusters is ranked based on the respective quality value of the cluster and a number of the grouped incidents of the cluster. At least one of the ranked plurality of clusters is identified to perform a service management operation.

Claim (Index 16):
A cluster identification method for service management operations, comprising:\n obtaining, by one or more hardware processors, client instance data including a plurality of incidents, each incident including a plurality of fields; selecting, by the one or more hardware processors, a first target field and an evaluation field from among the plurality of fields; grouping, by the one or more hardware processors, the plurality of incidents of the client instance data into a plurality of clusters based on a degree of a first natural language text similarity of respective first target fields in the plurality of incidents; determining, by the one or more hardware processors and for each of the plurality of clusters, a first quality value based on the degree of the first natural language text similarity of respective first target fields in grouped incidents of the cluster from among the plurality of incidents, and based on respective evaluation fields in the grouped incidents of the cluster; selecting, by the one or more hardware processors, a second target field from among the plurality of fields, the second target field being different from the first target field; determining, by the one or more hardware processors and for each of the plurality of clusters, a second quality value based on a degree of a second natural language text similarity of respective second target fields in the grouped incidents of the cluster from among the plurality of incidents, and based on the respective evaluation fields in the grouped incidents of the cluster; ranking, by the one or more hardware processors, each of the plurality of clusters of the client instance data based on the respective first and the respective second quality value of the cluster and a respective number of the grouped incidents of the cluster of the client instance data; and identifying, by the one or more hardware processors, at least one of the ranked plurality of clusters to perform a service management operation associated with the cluster.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 2.75439
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15723731', '15202113', '15939609', '15809889', '14250789']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.276189102822798
- 35 USC 102 Novelty (BERT): 0.5413550420254678
- Combined Prediction Score: 0.302705696743065
- Mean Citation Score: 221.969906
- Max Citation Score: 399.87515
- Similarity Product: 309.54094858892563

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

Dataset: test