PATENT CLAIM ANALYSIS

Application Number: 15934825
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["706", "012000"]

Abstract:
Embodiments are directed towards managing data. A data engine provides a data model that may include a plurality of concepts and a plurality of relations between the concepts. The data engine associates a propagation weight with each relation based on characteristics of the concepts. A feature engine associates an initial impetus value with a pivot concept. The feature engine employs the pivot concept as a start point to recursively traverse the data model. The feature engine allocates a portion of the impetus value to concepts that may be on a direct path of the traversal based on the propagation weight associated with each relation of the concepts. The feature engine may identify feature concepts based on a value of a portion of the impetus value that exceeds a threshold.

Claim (Index 22):
The network computer of  claim 19 , wherein the feature engine performs further actions, comprising, updating one or more propagation weights based on joint usage statistics captured from a user interacting with the data model, wherein one or more propagation weights in the data model are increased when two or more concepts having a relation are interacted with by the user.

Metadata:
- Claim Count in Document: 62.0
- Percentile: 90.0
- Lexical Diversity: 2.42857
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15848777', '15799322', '15425695', '14584414', '15913864']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3707457283784111
- 35 USC 102 Novelty (BERT): 0.4789703191341878
- Combined Prediction Score: 0.3815681874539888
- Mean Citation Score: 141.31297999999995
- Max Citation Score: 148.26102
- Similarity Product: 96.9146223828292

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