PATENT CLAIM ANALYSIS

Application Number: 16208910
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["455", "456100"]

Abstract:
A system and method for using super geo-fences to improve efficiency of geo-fences is disclosed. A server system determines a geo-fence density based on a number of geo-fences in an area around a client system. In response to determining the geo-fence density is greater than a predetermined density value, the server system selects a number of geo-fences that is greater than a fixed number of geo-fences that the client system is capable of handling. The server system groups the selected geo-fences into a first and second group of geo-fences and generates a super geo-fence that encompasses the first group. The server system transmits the first and second group of geo-fences and the super geo-fence to an application stored at the client device. the application adds geo-fence data corresponding to the second group to the client system in response to detecting the client system crossing a boundary of the super geo-fence.

Claim (Index 10):
The method of  claim 1 , wherein the selecting of the number of geo-fences includes:\n determining, for one or more potential geo-fences, a time-to-reach value; and selecting one or more geo-fences based on the time-to-reach value for each of the potential geo-fences.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 98.0
- Lexical Diversity: 2.53226
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15624485', '14503340', '14473987', '15912769', '14593403']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7714688921105224
- 35 USC 102 Novelty (BERT): 0.5073017088467561
- Combined Prediction Score: 0.7450521737841458
- Mean Citation Score: 252.563254
- Max Citation Score: 303.82086
- Similarity Product: 266.7520956299221

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