PATENT CLAIM ANALYSIS

Application Number: 16031010
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["455", "456100"]

Abstract:
An information processing device according to the present application includes an acquisition unit and a determination unit. The acquisition unit acquires time-series position information acquired by a terminal device. The determination unit determines whether relation between one or more pieces of interest position information included in the time-series position information acquired by the acquisition unit and prior or posterior position information in time series satisfies a predetermined criterion, and determines whether to hold the interest position information based on a determination result.

Claim (Index 16):
The information processing device according to  claim 15 , wherein\n the acquisition unit acquires the time-series position information acquired by a plurality of the terminal devices, and the determination unit determines whether the position information acquired by the acquisition unit satisfies the predetermined criterion, the information processing device further comprising an information management unit that extracts position information that is a common outlier by analyzing the determination result, and that sets the position information that is a common outlier as the known specific location.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 95.0
- Lexical Diversity: 1.79167
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13609888', '13597876', '15537192', '13792983', '15537252']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6531771717754492
- 35 USC 102 Novelty (BERT): 0.4717442254381009
- Combined Prediction Score: 0.6350338771417144
- Mean Citation Score: 110.573735
- Max Citation Score: 112.38884
- Similarity Product: 74.42958099499226

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

Dataset: test