Patent application EP18204234A (EP), filed 2018-11-05
Publication number: EP3502878A1
Title: METHOD FOR PRELOADING APPLICATION AND TERMINAL DEVICE
Abstract: A method for preloading an application, a storage medium, and a terminal device are provided. The method includes the following. In response to a target application being detected to be closed, current state feature information of a terminal device is acquired. The current state feature information is input into a random forest prediction model corresponding to the target application, where the random forest prediction model is generated based on a usage regularity of the target application corresponding to historical state feature information of the terminal device. Whether to preload the target application is determined according to a prediction result of the random forest prediction model.
IPC codes: G06K   9/    62            A I
G06N  20/    00            A I
G06F   9/   445            A I
G06N   5/    00            A I
G06N  20/    20            A I
Claims: number: 1
text: A method for preloading an application, comprising:
number: 2
text: The method of claim 1, further comprising:
number: 3
text: The method of claim 2, further comprising the following before the random forest prediction model is constructed:
number: 4
text: The method of claim 2, wherein the constructing the random forest prediction model corresponding to the target application according to samples of the target application and sample labels corresponding to the samples comprises:
number: 5
text: The method of claim 4, wherein the constructing a decision tree prediction model for each sample set of the k sample sets according to the m samples included in the sample set and sample labels corresponding to the m samples comprises:
number: 6
text: The method of any of claims 1 to 5, further comprising:
number: 7
text: The method of claim 6, wherein the acquiring an output result of the decision tree prediction model comprises:
number: 8
text: A terminal device (600), comprising:
number: 9
text: The terminal device of claim 8, wherein the at least one processor configured to carry out the determining whether to preload the target application according to the current state feature information and a random forest prediction model corresponding to the target application is configured to carry out actions, comprising:
number: 10
text: The terminal device of claim 9, wherein the random forest prediction model comprises a plurality of decision tree prediction models, and the at least one processor is further configured to carry out actions, comprising:
number: 11
text: The terminal device of claim 10, wherein the at least one processor configured to carry out the acquiring an output result of the decision tree prediction model is configured to carry out actions, comprising:
number: 12
text: The terminal device of any of claims 8 to 11, wherein the at least one processor is further configured to carry out actions, comprising:
number: 13
text: The terminal device of claim 12, wherein the at least one processor is further configured to carry out actions, comprising:
number: 14
text: The terminal device of claim of 12, wherein the at least one processor configured to carry out the constructing the random forest prediction model corresponding to the target application according to samples of the target application and sample labels corresponding to the samples is configured to carry out actions, comprising:
number: 15
text: The terminal device of claim 14, wherein the at least one processor configured to carry out the constructing a decision tree prediction model for each sample set of the k sample sets according to the m samples included in the sample set and sample labels corresponding to the m samples is configured to carry out actions, comprising:
Office action: search_report, dated 2019-06-26
Rejection reasons: novelty_epc_54
Prior art cited: ref_id: US2014366041A1
ref_type: patent
severity: background
ref_id: US2013173513A1
ref_type: patent
severity: background
ref_id: US2014372356A1
ref_type: patent
severity: background
ref_id: - LIOR ROKACH: "Decision forest: Twenty years of research", INFORMATION FUSION., vol. 27, 20 June 2015 (2015-06-20), US, pages 111 - 125, XP055587348, ISSN: 1566-2535, DOI: 10.1016/j.inffus.2015.06.005
ref_type: npl
severity: background
ref_id: US2013173513
ref_type: patent
severity: novelty_destroying
ref_id: US2014372356
ref_type: patent
severity: background
ref_id: - LIOR ROKACH, "Decision forest: Twenty years of research", INFORMATION FUSION., US, (20150620), vol. 27, doi:10.1016/j.inffus.2015.06.005, ISSN 1566-2535, pages 111 - 125, XP055587348 [A] 1-15 * the whole document *
ref_type: npl
severity: background
Final disposition: pending (2019-06-26)