PATENT CLAIM ANALYSIS

Application Number: 15961246
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-12
Patent Classification: ["455", "574000"]

Abstract:
An application control method includes acquiring M running applications on a mobile terminal, wherein M is a positive integer; acquiring user habit data related to closing at least one application within the M running applications; and closing the at least one application within the M running applications according to the user habit data. With embodiments of the present disclosure, an intelligent closing of the applications can be achieved, and power consumption of a mobile terminal can be reduced.

Claim (Index 7):
The method according to  claim 1 , further comprising a step of:\n acquiring a preset application ID set, the application ID set containing K application IDs, wherein K is a positive integer; and the step of closing the at least one application within the M running applications according to the user habit data related to closing the at least one application comprises: comparing application IDs of the M running applications with the K application IDs to obtain X target application IDs that are not matched with the K application IDs, wherein X is a positive integer; and closing at least one application corresponding to the X application IDs according to the user habit data.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 91.0
- Lexical Diversity: 1.84783
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15794488', '15505646', '14241077', '14907489', '13398248']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6568513556037804
- 35 USC 102 Novelty (BERT): 0.486357539378839
- Combined Prediction Score: 0.6398019739812862
- Mean Citation Score: 121.34605
- Max Citation Score: 129.75182
- Similarity Product: 78.57665031944038

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

Dataset: test