PATENT CLAIM ANALYSIS

Application Number: 16065959
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-01
Patent Classification: ["708", "422000"]

Abstract:
To perform high-speed and efficient processing of determining a correlation between vectors. An information processing system includes: a first information processing device having k number of vectors including secure data as an element; and a second information processing device having m number of vectors including secure data as an element. The first information processing device receives vector information regarding a vector Y selected from the m number of vectors, as encrypted data, from the second information processing device. A data processing unit of the first information processing device sequentially calculates element-based sample identifiers each having a specific common value for each of a plurality of different vectors Y selected from the m number of vectors to one vector X selected from the k number of vectors retained by the first information processing device, and sequentially determines the correlation between the one vector X and each of the plurality of different vectors.

Claim (Index 3):
The information processing device according to  claim 1 , wherein the data processing unit receives vector information regarding either the vector X or the vector Y, as encrypted data, from a different information processing device, and performs data processing.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 94.0
- Lexical Diversity: 2.58065
- Patent Class: 708.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15537567', '11803561', '13521317', '15418352', '14663789']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4461538838919366
- 35 USC 102 Novelty (BERT): 0.4989725482053564
- Combined Prediction Score: 0.4514357503232786
- Mean Citation Score: 173.312072
- Max Citation Score: 188.41588
- Similarity Product: 122.35782197399377

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

Dataset: test