PATENT CLAIM ANALYSIS

Application Number: 15742061
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-04
Patent Classification: ["717", "168000"]

Abstract:
A single skill package upgrade management apparatus for managing upgrading of skill packages installed in an intelligent robot is provided with a statistics module, a determination module, and an upgrade module. The statistics module includes a local statistics unit and a network statistics unit. The determination module includes a timeline determination unit, a number determination unit, and an integration determination unit. The determination module further arranges the skill packages in a sequence. The skill package has a highest priority is scheduled to be upgraded first. An upgrade time of each skill package is scheduled to be in the duration of use having the least number of uses of each skill package. There is further provided a privilege module. A single skill package upgrade management method is also provided.

Claim (Index 1):
A single skill package upgrade management apparatus for managing upgrading of a plurality of skill packages installed in an intelligent robot, comprising:\n a statistics module for collecting data of use parameters of each skill package in the intelligent robot, and collecting data of attention parameters of each skill package wherein the use parameters include number of uses, time of use, and duration of use; and the attention parameters include number of downloads, degree of attention, evaluation score, and praise score of a corresponding skill package, number of readings of one of the skill packages by users; and number of user feedbacks; a determination module for analyzing the use parameters and the attention parameters of all of the skill packages by comparison, determining the skill packages to be upgraded, and determining an upgrade time of the skill packages to be upgraded; and an upgrade module for obtaining the skill packages to be upgraded by accessing the Internet and upgrading the skill packages in the upgrade time; wherein the statistics module includes a local statistics unit for reading the use parameters of each skill package in the intelligent robot based on use conditions, and a network statistics unit connecting to a network cloud to collect data of the attention parameters of each skill package; wherein the determination module includes: a timeline determination unit for establishing a timeline; analyzing the number of uses, the time of use, and the duration of use of each skill package as the timeline evolves; and determining the duration of use having the greatest number of uses and the duration of use having the least number of uses of each skill package; a number determination unit for determining the number of downloads, the degree of attention, the evaluation score, and the praise score of each skill package; viewing times of the skill packages, and the number of user feedbacks on the Internet; and an integration determination unit for determining the skill packages to be upgraded and an upgrade time of the skill packages to be upgraded based on results sent from both the timeline determination unit and the number determination unit; wherein based on the determination of the number of downloads, the degree of attention, the evaluation score, and the praise score of each skill package; the viewing times of the skill packages, and the number of user feedbacks on the Internet, the determination module arranges the skill packages in a sequence wherein the skill package has a highest priority in the sequence is scheduled to be upgraded first, and wherein an upgrade time of each skill package is scheduled to be in the duration of use having the least number of uses of each skill package based on the duration of use of the skill package having a highest priority in the sequence; and further comprising a privilege module for specifying which skill packages in the intelligent robot as skill packages to be upgraded, and assigning an upgrade time for each skill package.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 86.0
- Lexical Diversity: 2.37288
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13259372', '15838270', '13993608', '13885763', '15344475']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3683273818978719
- 35 USC 102 Novelty (BERT): 0.4907015151770569
- Combined Prediction Score: 0.3805647952257904
- Mean Citation Score: 162.944494
- Max Citation Score: 170.4981
- Similarity Product: 119.81265625684264

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

Dataset: test