PATENT CLAIM ANALYSIS

Application Number: 16148960
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-01
Patent Classification: ["455", "456100"]

Abstract:
Architecture that enables geofence combinations and compositions where multiple correlated geofences are generated for an entity such as a point of interest. The geofences can have varying radii relative to a specific entity and represent distinct areas or aspects of the entity. The geofences can relate to correspondingly different categories to which the entity can belong. The geofences can be of differing shapes than circular, such as polygons (e.g., rectangles, squares, etc.). Moreover, these differently shaped geofences can be applied to a single entity. Each geofence of a geofence set associated with an entity can be assigned to represent different parts of an entity such as a part a shopping mall. Geofence composition is obtained by combining multiple primitive geofences to compose more complex geofence(s) for an entity and for embedding the relationship of the primitive geofences into such compositions.

Claim (Index 1):
A system, comprising:\n an identification component configured to identify multiple characteristics of an entity; a geofence component configured to generate multiple geofences for the entity based on the characteristics and apply the geofences to the entity relative to a specific geographical point of the entity; an evaluation component configured to manage triggering of the multiple geofences based on location of a user device; and at least one microprocessor configured to execute computer-executable instructions in a memory associated with the identification component, the geofence component, and the evaluation component.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 97.0
- Lexical Diversity: 1.84706
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14092967', '14092968', '13802211', '15987319', '15509869']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6528044810090917
- 35 USC 102 Novelty (BERT): 0.5174158852919816
- Combined Prediction Score: 0.6392656214373807
- Mean Citation Score: 234.162108
- Max Citation Score: 322.16156
- Similarity Product: 301.3074506298161

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

Dataset: test