PATENT CLAIM ANALYSIS

Application Number: 16000146
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["708", "250000"]

Abstract:
Method and apparatus for generating a random character string are disclosed. The method comprises: acquiring a value of a sequence number variable in a database, wherein the value of the sequence variable is a sequence comprising basic numerals in a basic numeral set, and the acquired value of the sequence variable is different from values of the sequence variable acquired at any other times; and mapping the sequence into a character string as a generated random character string according to an one-to-one mapping relationship between characters contained in a character set and the basic numerals contained in the basic numeral set.

Claim (Index 9):
The non-transitory computer-readable storage medium according to  claim 8 , wherein the acquiring a value of a sequence variable in a database comprises:\n receiving a generation request for generating a random character string; according to a type of the generation request, determining a preset sequence variable that corresponds to the type from at least one sequence variable in the database; and acquiring a value of the sequence variable corresponding to the type, wherein the acquired value of the sequence variable is different from values of the sequence variable corresponding to the type that are acquired at any other times.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 1.98148
- Patent Class: 708.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11680786', '10379419', '15154867', '13130422', '15278906']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4411681361658757
- 35 USC 102 Novelty (BERT): 0.5017944502003665
- Combined Prediction Score: 0.4472307675693248
- Mean Citation Score: 157.661572
- Max Citation Score: 173.36118000000005
- Similarity Product: 111.16449055406574

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

Dataset: test