CN112286609B

CN112286609B - Method and device for managing shortcut setting items of intelligent terminal

Info

Publication number: CN112286609B
Application number: CN202011169669.5A
Authority: CN
Inventors: 李潇; 宋浩杰
Original assignee: Samsung Electronics China R&D Center; Samsung Electronics Co Ltd
Current assignee: Samsung Electronics China R&D Center; Samsung Electronics Co Ltd
Priority date: 2020-10-28
Filing date: 2020-10-28
Publication date: 2023-08-22
Anticipated expiration: 2040-10-28
Also published as: CN112286609A

Abstract

The embodiment of the disclosure discloses a method and a device for managing shortcut setting items of an intelligent terminal. The specific implementation mode of the method comprises the following steps: receiving an instruction triggered by a user; acquiring context information of an intelligent terminal; matching the instruction and the context information with a predefined rule, and outputting a recommended setting item if the matching is successful; the recommended settings are displayed in a first location in a default settings interface. According to the embodiment, the setting items to be used by the user can be effectively managed in different contexts, so that the user is reliably and conveniently influenced and the influence on the user is reduced.

Description

Method and device for managing shortcut setting items of intelligent terminal

Technical Field

The embodiment of the disclosure relates to the technical field of computers, in particular to a method and a device for managing shortcut setting items of an intelligent terminal.

Background

With the continuous development of intelligent terminals such as mobile phones, televisions, flat plates, watches and vehicle-mounted computers, the built-in setting functions of the terminal system are gradually powerful, the mobile phones or televisions also support third-party apps to add custom shortcut setting icons, the time cost for changing the setting of users is increased, and the user experience can be improved by effectively managing the setting icons of the shortcut setting interfaces.

The prior art generally reorders based on the frequency of use of applications without regard to the context information of the applications.

Disclosure of Invention

The embodiment of the disclosure provides a method and a device for managing shortcut setting items of an intelligent terminal.

In a first aspect, an embodiment of the present disclosure provides a method for managing shortcut settings of an intelligent terminal, including: receiving an instruction triggered by a user; acquiring context information of an intelligent terminal; matching the instruction and the context information with a predefined rule, and outputting a recommended setting item if the matching is successful; the recommended settings are displayed in a first location in a default settings interface.

In some embodiments, the method further comprises: and in response to detecting that the user clicks the recommended setting items, restoring the arrangement sequence of the setting items in the default setting interface.

In some embodiments, the method further comprises: and in response to detecting that the user does not click on the recommended setting items within a preset time, restoring the arrangement sequence of the setting items in the default setting interface.

In some embodiments, the method further comprises: counting the times of clicking the recommended setting item by a user as correct recommendation times; if the ratio of the correct recommended times to the total recommended times is smaller than the preset accuracy threshold, updating the predefined rule according to the log of the intelligent terminal.

In some embodiments, the predefined rule is generated by: acquiring context information, a trigger instruction and a setting item when at least one sample user sets the setting item; and clustering the context information and the triggering instruction of each setting item to obtain the predefined rule of the setting item.

In some embodiments, updating the predefined rules from the log of the intelligent terminal includes: acquiring a log of the intelligent terminal, wherein the log comprises context information, a trigger instruction and a setting item when a user sets the setting item; and clustering the context information and the triggering instruction of each setting item in the log to obtain the predefined rule of the setting item.

In some embodiments, clustering the context information of the setting item and the trigger instruction includes: clustering the context information and the triggering instruction of the setting item through a Canopy algorithm to obtain the center point; and further clustering the context information and the triggering instruction of the setting item through a kmeans algorithm according to the number of center points.

In a second aspect, an embodiment of the present disclosure provides an apparatus for managing shortcut settings of an intelligent terminal, including: the receiving unit is configured to receive an instruction triggered by a user; an acquisition unit configured to acquire context information of the intelligent terminal; the matching unit is configured to match the instruction and the context information with the predefined rule, and if the matching is successful, the recommended setting item is output; and a control unit configured to display the recommended setting item at a first position in the default setting interface.

In some embodiments, the control unit is further configured to: and in response to detecting that the user clicks the recommended setting items, restoring the arrangement sequence of the setting items in the default setting interface.

In some embodiments, the control unit is further configured to: and in response to detecting that the user does not click on the recommended setting items within a preset time, restoring the arrangement sequence of the setting items in the default setting interface.

In some embodiments, the apparatus further comprises a modeling unit configured to: counting the times of clicking the recommended setting item by a user as correct recommendation times; if the ratio of the correct recommended times to the total recommended times is smaller than the preset accuracy threshold, updating the predefined rule according to the log of the intelligent terminal.

In some embodiments, the modeling unit is further configured to: acquiring context information, a trigger instruction and a setting item when at least one sample user sets the setting item; and clustering the context information and the triggering instruction of each setting item to obtain the predefined rule of the setting item.

In some embodiments, the modeling unit is further configured to: acquiring a log of the intelligent terminal, wherein the log comprises context information, a trigger instruction and a setting item when a user sets the setting item; and clustering the context information and the triggering instruction of each setting item in the log to obtain the predefined rule of the setting item.

In a third aspect, an embodiment of the present disclosure provides an electronic device for managing shortcut settings of an intelligent terminal, including: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method of any of the first aspects.

In a fourth aspect, embodiments of the present disclosure provide a computer readable medium having a computer program stored thereon, wherein the program when executed by a processor implements the method according to any of the first aspects.

The method and the device for managing the shortcut setting items of the intelligent terminal, provided by the embodiment of the disclosure, generate a predefined rule according to a large amount of real user use data, and trigger the prediction model to update when the predefined rule accords with preset updating conditions. Updating the shortcut setting interface when the current context matches the dynamic rule or the predefined rule scene, moving the predicted recommended setting item to the first position of the interface, and recovering the user default interface when the current context does not match the rule.

Drawings

Other features, objects and advantages of the present disclosure will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the following drawings:

FIG. 1 is an exemplary system architecture diagram in which an embodiment of the present disclosure may be applied;

FIG. 2 is a flow chart of one embodiment of a method for managing shortcut settings for a smart terminal in accordance with the present disclosure;

3a-3d are schematic diagrams of one application scenario of a method for managing shortcut settings for a smart terminal in accordance with the present disclosure;

FIG. 4 is a flowchart of yet another embodiment of a method for managing shortcut settings for a smart terminal in accordance with the present disclosure;

5a-5b are schematic diagrams of application scenarios of yet another embodiment of a method for managing shortcut settings for a smart terminal in accordance with the present disclosure;

FIG. 6 is a schematic structural view of one embodiment of an apparatus for managing shortcut settings for a smart terminal in accordance with the present disclosure;

fig. 7 is a schematic diagram of a computer system suitable for use in implementing embodiments of the present disclosure.

Detailed Description

The present disclosure is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be noted that, for convenience of description, only the portions related to the present application are shown in the drawings.

It should be noted that, without conflict, the embodiments of the present disclosure and features of the embodiments may be combined with each other. The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.

Fig. 1 illustrates an exemplary system architecture 100 to which embodiments of the methods for managing shortcut settings of a smart terminal or the apparatuses for managing shortcut settings of a smart terminal of the present disclosure may be applied.

As shown in fig. 1, a system architecture 100 may include intelligent terminals 101, 102, 103, a network 104, and a server 105. The network 104 is used as a medium to provide communication links between the intelligent terminals 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

A user may interact with the server 105 through the network 104 using the smart terminals 101, 102, 103 to receive or send messages or the like. The smart terminals 101, 102, 103 may have various communication client applications installed thereon, such as a web browser application, a shopping class application, a search class application, an instant messaging tool, a mailbox client, social platform software, and the like.

The smart terminals 101, 102, 103 are various electronic devices having a display screen and supporting setting item settings, including but not limited to smartphones, tablet computers, electronic book readers, MP3 players (Moving Picture Experts Group Audio Layer III, dynamic video expert compression standard audio plane 3), MP4 (Moving Picture Experts Group Audio Layer IV, dynamic video expert compression standard audio plane 4) players, laptop and desktop computers, and the like. When the intelligent terminals 101, 102, 103 are software, they can be installed in the above-listed electronic devices. Which may be implemented as multiple software or software modules (e.g., to provide distributed services), or as a single software or software module. The present application is not particularly limited herein.

The server 105 may be a server providing various services, such as a background training server providing support for initial predefined rules used on the intelligent terminals 101, 102, 103. The background training server can analyze and other processes on the received instructions, context information and setting items of a large number of users, and feed back the processing results (such as initial predefined rules) to the intelligent terminal.

The server may be hardware or software. When the server is hardware, the server may be implemented as a distributed server cluster formed by a plurality of servers, or may be implemented as a single server. When the server is software, it may be implemented as a plurality of software or software modules (e.g., a plurality of software or software modules for providing distributed services), or as a single software or software module. The present application is not particularly limited herein. The server may also be a server of a distributed system or a server that incorporates a blockchain. The server can also be a cloud server, or an intelligent cloud computing server or an intelligent cloud host with artificial intelligence technology.

It should be noted that, the method for managing shortcut setting items of an intelligent terminal provided by the embodiments of the present disclosure is generally performed by the intelligent terminals 101, 102, 103, and accordingly, the device for managing shortcut setting items of an intelligent terminal is generally disposed in the intelligent terminals 101, 102, 103.

It should be understood that the number of intelligent terminals, networks and servers in fig. 1 is merely illustrative. There may be any number of intelligent terminals, networks, and servers, as desired for implementation.

With continued reference to fig. 2, a flow 200 of one embodiment of a method for outputting information according to the present disclosure is shown. The method for outputting information comprises the following steps:

step 201, receiving a user-triggered instruction.

In this embodiment, an execution subject of a method for managing shortcut setting items of an intelligent terminal (e.g., the intelligent terminal shown in fig. 1) may receive an instruction triggered by a user through an application or a sensor of the intelligent terminal, for example, open the application, play a video, etc.

And 202, acquiring context information of the intelligent terminal.

In this embodiment, all the context information affecting the user click setting decision including time, space, application, network conditions, and user personalized features before the setting is used is acquired through logs, sensors, or external sources, etc. The log records operation information of the user, time, space, application programs, network conditions and the like at the moment, and can also record instructions triggered by the user. External sources refer to accessing peripherals such as USB.

And 203, matching the instruction and the context information with the predefined rule, and outputting a recommended setting item if the matching is successful.

In this embodiment, the predefined rules are generated in advance from a large number of real user usage data. Predetermined conditions (instructions and context) are satisfied, a setting item is recommended. The match here may be a keyword match, the instruction may be matched to a predetermined condition, and if the match is successful, the matching of the context information is continued. The matching of the context information may be performed by calculating the similarity of the current context information to a predetermined condition in the predefined rule, and if the similarity is greater than a predetermined similarity threshold, the matching is considered successful. The context information may also be converted into a vector and then subjected to similarity calculation with a vector of a predetermined condition. For example, when the user receives an instruction to play music, and obtains that the current space is home and the time is 7 late, according to a predefined rule, it is determined that the user is used to play music using bluetooth after 6 late, and the recommended setting item is bluetooth.

Step 204, displaying the recommended setting item at a first position in the default setting interface.

In this embodiment, the first position refers to a position in front of the default setting interface, and the user can directly select without turning pages or moving. And when the instruction and the context information are detected to be successfully matched with the predefined rule, displaying a default setting interface, and adjusting the position of the recommended setting item to a first position for quick selection by a user.

According to the method provided by the embodiment of the disclosure, the setting items to be used by the user are effectively managed in different contexts, and when the recommended accuracy is not high enough, the context rule is updated, so that the accuracy is gradually improved, and meanwhile, the training cost can be reduced. And moving the setting item of the current context in the rule to the position in front of the shortcut setting interface, if the user does not click the setting item, recording the setting item as management error under the rule once, and if the user finishes the setting or clicks other setting items, recovering the previous shortcut setting interface, thereby reducing the influence on the user as much as possible.

For example, fig. 3a-3b are diagrams of examples of a user after opening music after coming home from work, where the application analyzes from previous data of the user that the user is likely to play music through bluetooth connection. When the method of the application is not used, the user needs to click a pull-down button after pulling down the shortcut setting interface, select Bluetooth and click. After the method of the application is used, after the built-in monitoring of the mobile phone acquires the context conditions, the Bluetooth setting is moved to the forefront position according to the generated rule, and the user directly clicks the first Bluetooth setting after pulling down the shortcut setting interface.

Similarly, fig. 3c-3d show that when the method of the present application is not used, the user clicks the shortcut menu and then finds that the desired setting item is at the sixth position, presses the right key five more times, and clicks the confirm. When the method of the application is used, the option that the user wants to click the sixth position is directly predicted, the option is advanced to the first position, and the user directly clicks the first setting item.

In some optional implementations of the present embodiment, the method further includes: and in response to detecting that the user clicks the recommended setting items, restoring the arrangement sequence of the setting items in the default setting interface. If the user clicks the recommendation setting item, the recommendation is considered to be a correct recommendation, and the number of times of the correct recommendation is accumulated.

In some optional implementations of the present embodiment, the method further includes: and in response to detecting that the user does not click on the recommended setting items within a preset time, restoring the arrangement sequence of the setting items in the default setting interface. If the user does not click on any of the setting items or clicks on other setting items than the recommended setting item, it is considered that the recommended setting item is not clicked for a predetermined time. And (5) indicating that the recommendation fails, and accumulating the number of times of error recommendation. The sum of the number of correct recommendations and the number of incorrect recommendations is the total number of recommendations.

In some optional implementations of the present embodiment, the method further includes: counting the times of clicking the recommended setting item by a user as correct recommendation times; if the ratio of the correct recommended times to the total recommended times is smaller than the preset accuracy threshold, updating the predefined rule according to the log of the intelligent terminal. For example, the update of the predefined rule is triggered when the total recommended number is greater than 15 and the accuracy is below 90%. The process of updating the predefined rules is similar to the process of generating the predefined rules, except that the process of updating the predefined rules uses a log of the current user, while the original process of generating the predefined rules uses a log of other users. The step of generating the predefined rule is shown in fig. 4.

With further reference to fig. 4, a flow 400 of yet another embodiment of a method for managing shortcut settings for a smart terminal is shown. The process 400 of the method for managing shortcut settings of an intelligent terminal includes the steps of:

in step 401, context information, a trigger instruction and a setting item when at least one sample user performs setting of the setting item are obtained.

In this embodiment, an execution body of a method for managing shortcut setting items of an intelligent terminal (for example, the intelligent terminal shown in fig. 1) may acquire context information, a trigger instruction, and setting items when a large number of users perform setting item settings from a third party server. All contextual information affecting the user's click setup decision including time before using the setup, space, application, network conditions, and user personalization features is obtained through logs, sensors or external sources, etc.

Step 402, clustering the context information and the trigger instruction of each setting item through a Canopy algorithm to obtain the center point.

In this embodiment, the related information indexed by the user identifier in step 401 is rearranged into information indexed by the setting item. For example, user a connects bluetooth when music is turned on at home, and connects WIFI when video is turned on at home. User B connects bluetooth when office opens office software, WIFI when home or office opens video. The data may be sorted by the settings "connect bluetooth" and "connect WIFI". The relevant information (context information, trigger instructions) of each setting item is grouped into one set. Clustering is then performed inside the set. The clustering can be directly performed by adopting a kmeans mode and the like. The related information of each setting item can be clustered through a Canopy algorithm to obtain the center point.

And step 403, further clustering the context information and the triggering instruction of the setting item through a kmeans algorithm according to the center point number to obtain a predefined rule of the setting item.

In this embodiment, the center point is used as the K value of the kmeans algorithm, and the context information and the trigger instruction of the setting item are further clustered through the kmeans algorithm. At least one cluster is obtained. Taking the clustering center of each cluster as a predefined condition, at least one predefined condition of each setting item can be obtained, and recommending the setting item if the generated predefined rule meets the predefined condition.

Fig. 5a is a schematic view of an application scenario of the modeling process. A new handset will have built-in a number of predefined rules generated by the real user when it is initialized. The mobile phone can monitor the corresponding trigger to judge the context information, and if the current context information accords with the context in the predefined rule, the setting item corresponding to the context information in the predefined rule is moved to the position in front of the shortcut setting interface. And (4) recording the change of the setting interface once every triggering as one management, and re-acquiring the user data updated from the last rule to generate the latest predefined rule if the accuracy rate is lower than 90% when the management times reach 15 times. The user may manually edit the position of the setting item in the shortcut setting interface, and change the completed interface to act as a default shortcut setting interface. After the interface is changed every time, the user changes the setting or after the setting item is not clicked within the preset time, the user is restored to the default shortcut setting interface, and the influence on the user is reduced.

Fig. 5b is a detailed diagram of a modeling process, when a preset condition is met, acquiring data generated by other external sources such as a log and a sensor from a mobile phone, performing Canopy clustering on context data of a setting item clicked by a user each time, generating a clustering center point value K of the data, generating a context set by taking the value as a K value of a second K-means cluster, and finally generating the context set corresponding to the setting item to be a rule for outputting.

With further reference to fig. 6, as an implementation of the method shown in the foregoing figures, the present disclosure provides an embodiment of an apparatus for managing shortcut settings of an intelligent terminal, where the embodiment of the apparatus corresponds to the embodiment of the method shown in fig. 2, and the apparatus may be specifically applied in various electronic devices.

As shown in fig. 6, the apparatus 600 for managing shortcut setting items of an intelligent terminal of the present embodiment includes: a receiving unit 601, an acquiring unit 602, a matching unit 603, and a control unit 604. Wherein, the receiving unit 601 is configured to receive an instruction triggered by a user; an acquisition unit 602 configured to acquire context information of the intelligent terminal; a matching unit 603 configured to match the instruction and the context information with a predefined rule, and if the matching is successful, output a recommendation setting item; the control unit 604 is configured to display the recommended setting item in a first position in the default setting interface.

In some alternative implementations of the present embodiment, the control unit 604 is further configured to: and in response to detecting that the user clicks the recommended setting items, restoring the arrangement sequence of the setting items in the default setting interface.

In some alternative implementations of the present embodiment, the control unit 604 is further configured to: and in response to detecting that the user does not click on the recommended setting items within a preset time, restoring the arrangement sequence of the setting items in the default setting interface.

In some optional implementations of the present embodiment, the apparatus further comprises a modeling unit 605 configured to: counting the times of clicking the recommended setting item by a user as correct recommendation times; if the ratio of the correct recommended times to the total recommended times is smaller than the preset accuracy threshold, updating the predefined rule according to the log of the intelligent terminal.

In some alternative implementations of the present embodiment, the modeling unit 605 is configured to: acquiring context information, a trigger instruction and a setting item when at least one sample user sets the setting item; and clustering the context information and the triggering instruction of each setting item to obtain the predefined rule of the setting item.

In some optional implementations of the present embodiment, the modeling unit 605 is further configured to: acquiring a log of the intelligent terminal, wherein the log comprises context information, a trigger instruction and a setting item when a user sets the setting item; and clustering the context information and the triggering instruction of each setting item in the log to obtain the predefined rule of the setting item.

In some optional implementations of this embodiment, clustering the context information of the setting item and the trigger instruction includes: clustering the context information and the triggering instruction of the setting item through a Canopy algorithm to obtain the center point; and further clustering the context information and the triggering instruction of the setting item through a kmeans algorithm according to the number of center points.

Referring now to fig. 7, a schematic diagram of an electronic device (e.g., server or smart terminal of fig. 1) 700 suitable for use in implementing embodiments of the present disclosure is shown. The smart terminal in the embodiments of the present disclosure may include, but is not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), car terminals (e.g., car navigation terminals), and the like, and stationary terminals such as digital TVs, desktop computers, and the like. The intelligent terminal/server illustrated in fig. 7 is merely an example, and should not impose any limitations on the functionality and scope of use of embodiments of the present disclosure.

As shown in fig. 7, the electronic device 700 may include a processing means (e.g., a central processor, a graphics processor, etc.) 701, which may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 702 or a program loaded from a storage means 708 into a Random Access Memory (RAM) 703. In the RAM 703, various programs and data required for the operation of the electronic device 700 are also stored. The processing device 701, the ROM 702, and the RAM 703 are connected to each other through a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.

In general, the following devices may be connected to the I/O interface 705: input devices 706 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, and the like; an output device 707 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 708 including, for example, magnetic tape, hard disk, etc.; and a communication device 709. The communication means 709 may allow the electronic device 700 to communicate wirelessly or by wire with other devices to exchange data. While fig. 7 shows an electronic device 700 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 7 may represent one device or a plurality of devices as needed.

In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via communication device 709, or installed from storage 708, or installed from ROM 702. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing device 701. It should be noted that, the computer readable medium according to the embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In an embodiment of the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. Whereas in embodiments of the present disclosure, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.

The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: receiving an instruction triggered by a user; acquiring context information of an intelligent terminal; matching the instruction and the context information with a predefined rule, and outputting a recommended setting item if the matching is successful; the recommended settings are displayed in a first location in a default settings interface.

Computer program code for carrying out operations of embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units involved in the embodiments described in the present disclosure may be implemented by means of software, or may be implemented by means of hardware. The described units may also be provided in a processor, for example, described as: a processor includes a receiving unit, an acquiring unit, a matching unit, and a control unit. The names of these units do not in any way constitute a limitation of the unit itself, for example, the receiving unit may also be described as "unit receiving user-triggered instructions".

The foregoing description is only of the preferred embodiments of the present disclosure and description of the principles of the technology being employed. It will be appreciated by those skilled in the art that the scope of the application referred to in this disclosure is not limited to the specific combination of features described above, but encompasses other embodiments in which any combination of features described above or their equivalents is contemplated without departing from the inventive concepts described. Such as those described above, are mutually substituted with the technical features having similar functions disclosed in the present disclosure (but not limited thereto).

Claims

1. A method for managing shortcut settings of an intelligent terminal, comprising:

receiving a user-triggered instruction through an application program or a sensor of the intelligent terminal;

acquiring context information of the intelligent terminal through a log, a sensor or an external source, wherein the context information comprises time, space, an application program, network conditions and user personalized characteristics;

keyword matching is carried out on the instruction and the preset condition, if matching is successful, matching of the context information is carried out by calculating the similarity between the current context information and the preset condition in the predefined rule, and if the similarity is larger than a preset similarity threshold, a recommendation setting item is output;

moving the recommended setting item to a position close to the shortcut setting interface, if the user does not click on the recommended setting item, recording management errors under the rule of matching the current context information once, and if the user finishes the recommended setting item or clicks other setting items, recovering the previous shortcut setting interface;

wherein the predefined rule is generated by:

acquiring context information, a trigger instruction and a setting item when at least one sample user sets the setting item;

and clustering the context information and the triggering instruction of each setting item to obtain the predefined rule of the setting item.

2. The method of claim 1, wherein the method further comprises:

and in response to detecting that the user clicks the recommended setting items, restoring the arrangement sequence of the setting items in a default setting interface.

3. The method of claim 1, wherein the method further comprises:

and in response to detecting that the user does not click on the recommended setting items within a preset time, restoring the arrangement sequence of the setting items in a default setting interface.

4. The method of claim 2, wherein the method further comprises:

counting the times of clicking the recommended setting item by the user as correct recommendation times;

and if the ratio of the correct recommended times to the total recommended times is smaller than a preset accuracy threshold, updating the predefined rule according to the log of the intelligent terminal.

5. The method of claim 4, wherein the updating the predefined rule from the log of the intelligent terminal comprises:

acquiring a log of the intelligent terminal, wherein the log comprises context information, a trigger instruction and a setting item when the user sets the setting item;

and clustering the context information and the triggering instruction of each setting item in the log to obtain the predefined rule of the setting item.

6. The method according to claim 1 or 5, wherein the clustering the context information of the setting item and the trigger instruction comprises:

clustering the context information and the triggering instruction of the setting item through a Canopy algorithm to obtain the center point;

and further clustering the context information and the triggering instruction of the setting item through a kmeans algorithm according to the center point number.

7. An apparatus for managing shortcut settings of an intelligent terminal, comprising:

the receiving unit is configured to receive an instruction triggered by a user through an application program or a sensor of the intelligent terminal;

an acquisition unit configured to acquire context information of the intelligent terminal through a log, a sensor or an external source, wherein the context information includes time, space, an application program, network conditions and user personalized features;

a matching unit configured to match the instruction with a predetermined condition, match the context information by calculating a similarity of the current context information to the predetermined condition in the predefined rule if the matching is successful, and output a recommendation setting item if the similarity is greater than a predetermined similarity threshold;

the control unit is configured to move the recommended setting item to a position in front of the shortcut setting interface, if the user does not click on the recommended setting item, the recommended setting item is recorded as a management error under the rule of matching the current context information once, and if the user completes the recommended setting item or clicks other setting items, the previous shortcut setting interface is restored;

wherein the predefined rule is generated by:

8. An electronic device for managing shortcut settings of an intelligent terminal, comprising:

one or more processors;

a storage device having one or more programs stored thereon,

the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-6.

9. A computer readable medium having stored thereon a computer program, wherein the program when executed by a processor implements the method of any of claims 1-6.