CN110554994A - Icon labeling method and device, storage medium and equipment - Google Patents
Icon labeling method and device, storage medium and equipment Download PDFInfo
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- CN110554994A CN110554994A CN201810552796.XA CN201810552796A CN110554994A CN 110554994 A CN110554994 A CN 110554994A CN 201810552796 A CN201810552796 A CN 201810552796A CN 110554994 A CN110554994 A CN 110554994A
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Abstract
The disclosure relates to an icon labeling method, an icon labeling device, a storage medium and an icon labeling device, wherein the method comprises the following steps: acquiring a predetermined application classification relation spectrum according to a received icon merging instruction, wherein the application classification relation spectrum is a classification relation spectrum of all application programs determined according to the characteristics of all applications in an application store, and the classification relation spectrum comprises classification incidence relations among all the application programs; then determining whether a first icon and a second icon to be combined by the icon combination instruction meet an automatic labeling condition according to the application classification relation spectrum; and when the automatic labeling condition is met, determining the common characteristics of the first icon and the second icon determined according to the application classification relation spectrum as the label of the new icon generated after the first icon and the second icon are combined. Therefore, the combined icons can be automatically labeled by utilizing the application classification relation spectrum, the labeling operation of the icons is simplified, the intelligence of the terminal can be improved, and the user experience is improved.
Description
Technical Field
the present disclosure relates to the field of electronic technologies, and in particular, to an icon labeling method and apparatus, a storage medium, and a device.
Background
Along with the gradual popularization and maturity of technology, more and more application programs (APP) based on mobile terminal, the user also can download various APP at the APP store according to various needs, and when downloading too much APP on mobile terminal, the user need classify and merge it to the form of folder is arranged various APP and is classifyd, and marks the folder that merges. In the prior art, the marking of the merged folder needs to be manually input by a user, or direct marking is performed according to the classification of the merged APP in an APP store.
disclosure of Invention
In order to overcome the problems in the prior art, the present disclosure provides an icon labeling method, apparatus, storage medium, and device.
According to a first aspect of the embodiments of the present disclosure, there is provided an icon labeling method applied to a terminal, the method including:
Acquiring a predetermined application classification relation spectrum according to a received icon merging instruction, wherein the application classification relation spectrum is a classification relation spectrum of all application programs determined according to the characteristics of all application programs in an application store, and the classification relation spectrum comprises classification association relations among all the application programs;
determining whether a first icon and a second icon to be combined by the icon combination instruction meet an automatic labeling condition or not according to the application classification relation spectrum;
and when the automatic labeling condition is met, determining the common characteristics of the first icon and the second icon determined according to the application classification relation spectrum as the label of a new icon generated after the first icon and the second icon are combined.
Optionally, the applying a classification relation spectrum is an applying classification tree, and determining whether a first icon and a second icon to be combined by the icon combining instruction satisfy an automatic labeling condition according to the applying classification relation spectrum includes:
and when the first icon and the second icon are both application icons, determining that the automatic labeling condition is met.
optionally, the applying a classification relation spectrum is an applying classification tree, and determining whether a first icon and a second icon to be combined by the icon combining instruction satisfy an automatic labeling condition according to the applying classification relation spectrum includes:
determining an annotation for the folder icon when at least one of the first icon and the second icon is a folder icon;
searching the label in the application classification tree;
Determining that the automatic labeling condition is satisfied when a child node matching the label exists in the application classification tree;
determining that the automatic labeling condition is not satisfied when there is no child node matching the label in the application classification tree.
optionally, when the automatic labeling condition is satisfied, determining the common feature of the first icon and the second icon determined according to the application classification relation spectrum as a label of a new icon generated after the first icon and the second icon are merged, including:
acquiring a first node corresponding to the first icon on the application classification tree and a second node corresponding to the second icon on the application classification tree;
Determining two paths from the first node and the second node to a root node of the application classification tree respectively;
determining a first identical node from the first node and the second node as the common feature on the two paths;
and taking the common characteristic as a label of the new icon.
optionally, the obtaining a first node corresponding to the first icon on the application classification tree and a second node corresponding to the second icon on the application classification tree, where the first icon and the second icon are application icons, includes:
Determining a first application program corresponding to the first icon and a second application program corresponding to the second icon;
determining a first classification feature corresponding to the first application program and a second classification feature corresponding to the second application program, wherein the first classification feature is an upper node of the first application program on the application classification tree, and the second classification feature is an upper node of the second application program on the application classification tree;
determining the first classification characteristic as the first node and the second classification characteristic as the second node.
Optionally, the obtaining a first node corresponding to the first icon on the application classification tree and a second node corresponding to the second icon on the application classification tree, where the first icon and the second icon are the folder icons, includes:
Determining a first label of the folder corresponding to the first icon and a second label of the folder corresponding to the second icon;
Determining the first label and the second label as the first node and the second node, respectively.
optionally, the obtaining a first node corresponding to the first icon on the application classification tree and a second node corresponding to the second icon on the application classification tree, where the first icon is an application icon and the second icon is the folder icon, includes:
Determining an application program corresponding to the first icon;
determining a classification feature of the application program, wherein the classification feature is an upper node of the application program on the application classification tree;
Determining the classification feature as the first node;
determining the label of the folder corresponding to the second icon;
and correspondingly determining the label as the second node.
optionally, the method further includes:
And when the automatic labeling condition is not met and one of the first icon and the second icon is the folder icon, taking the label of the folder icon in the first icon and the second icon as the label of a new icon generated after the first icon and the second icon are combined.
Optionally, the method further includes:
Acquiring all characteristics of all applications;
determining unrepeated feature keywords according to all features of all the applications;
classifying the feature keywords to determine a feature structure tree, wherein the feature structure tree is a classification tree diagram formed by all the feature keywords;
according to the classification features of all the application programs, correspondingly determining all the applications as the bottommost nodes of the feature structure tree respectively;
Determining the feature structure tree with the bottom-most node as the application classification tree.
Optionally, the method further includes:
when a new application is added at the application store, determining all features of the new application;
taking the feature of the lowest node of the feature structure tree in all the features of the new application program as a first feature;
and classifying the new application program into a lower node of the first characteristic in the application classification tree.
according to a second aspect of the embodiments of the present disclosure, there is provided an icon labeling apparatus applied to a terminal, the apparatus including:
the map acquisition module is used for acquiring a predetermined application classification relation spectrum according to the received icon merging instruction, wherein the application classification relation spectrum is a classification relation spectrum of all application programs determined according to the characteristics of all application programs in an application store, and the classification relation spectrum comprises classification incidence relations among all the application programs;
The condition determining module is used for determining whether the first icon and the second icon to be combined by the icon combining instruction meet an automatic labeling condition according to the application classification relation spectrum;
And the icon labeling module is used for determining the common characteristics of the first icon and the second icon determined according to the application classification relation spectrum as the label of a new icon generated after the first icon and the second icon are combined when the automatic labeling condition is met.
optionally, the application classification relation spectrum is an application classification tree, and the condition determining module is configured to:
And when the first icon and the second icon are both application icons, determining that the automatic labeling condition is met.
Optionally, the application classification relation spectrum is an application classification tree, and the condition determining module includes:
an annotation determination sub-module, configured to determine an annotation for the folder icon when at least one of the first icon and the second icon is the folder icon;
the label searching submodule is used for searching the label in the application classification tree;
a condition determining submodule for determining that the automatic labeling condition is satisfied when a child node matching the label exists in the application classification tree;
The condition determining submodule is further configured to determine that the automatic labeling condition is not satisfied when there is no child node matching the label in the application classification tree.
Optionally, the icon labeling module includes:
the node obtaining submodule is used for obtaining a first node corresponding to the first icon on the application classification tree and a second node corresponding to the second icon on the application classification tree;
a path determining submodule, configured to determine two paths from the first node and the second node to a root node of the application classification tree, respectively;
a feature determination submodule configured to determine, on the two paths, a first same node from the first node and the second node as the common feature;
and the label determining sub-module is used for taking the public features as the labels of the new icons.
Optionally, the first icon and the second icon are application icons, and the node acquisition sub-module is configured to:
determining a first application program corresponding to the first icon and a second application program corresponding to the second icon;
Determining a first classification feature corresponding to the first application program and a second classification feature corresponding to the second application program, wherein the first classification feature is an upper node of the first application program on the application classification tree, and the second classification feature is an upper node of the second application program on the application classification tree;
Determining the first classification characteristic as the first node and the second classification characteristic as the second node.
optionally, the first icon and the second icon are folder icons, and the node acquisition sub-module is configured to:
determining a first label of the folder corresponding to the first icon and a second label of the folder corresponding to the second icon;
determining the first label and the second label as the first node and the second node, respectively.
Optionally, the first icon is an application icon and the second icon is the folder icon, and the node obtaining sub-module is configured to:
Determining an application program corresponding to the first icon;
Determining a classification feature of the application program, wherein the classification feature is an upper node of the application program on the application classification tree;
Determining the classification feature as the first node;
Determining the label of the folder corresponding to the second icon;
and correspondingly determining the label as the second node.
Optionally, the apparatus further comprises:
and the label keeping module is used for taking the label of the folder icon in the first icon and the second icon as the label of a new icon generated after the first icon and the second icon are combined when the automatic labeling condition is not met and one of the first icon and the second icon is the folder icon.
optionally, the apparatus further comprises:
The characteristic acquisition module is used for acquiring all characteristics of all the applications;
A keyword determining module, configured to determine non-repetitive feature keywords according to all the features of all the applications;
the structure tree determining module is used for classifying the feature keywords and determining a feature structure tree, wherein the feature structure tree is a classification tree diagram consisting of all the feature keywords;
the bottom node determining module is used for correspondingly determining all the applications as the bottom nodes of the feature structure tree according to the classification features of all the application programs;
And the classification tree determining module is used for determining the characteristic structure tree with the bottommost node as the application classification tree.
Optionally, the apparatus further includes:
The characteristic acquisition module is further used for determining all characteristics of a new application program when the new application program is added to the application store;
The characteristic determining module is used for taking the characteristic of the node at the bottommost layer of the characteristic structure tree in all the characteristics of the new application program as a first characteristic;
And the application classification module is used for classifying the new application program to a lower node of the first characteristic in the application classification tree.
in a third aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored, which, when being executed by a processor, implements the steps of the method of any one of the first aspect.
In a fourth aspect of the embodiments of the present disclosure, an electronic device is provided, including:
the computer-readable storage medium of the fourth aspect; and
One or more processors to execute the computer program in the computer-readable storage medium.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
acquiring a predetermined application classification relation spectrum according to a received icon merging instruction, wherein the application classification relation spectrum is a classification relation spectrum of all application programs determined according to the characteristics of all application programs in an application store, and the classification relation spectrum comprises classification association relations among all the application programs; determining whether a first icon and a second icon to be combined by the icon combination instruction meet an automatic labeling condition or not according to the application classification relation spectrum; and when the automatic labeling condition is met, determining the common characteristics of the first icon and the second icon determined according to the application classification relation spectrum as the label of a new icon generated after the first icon and the second icon are combined. Therefore, the application classification relation spectrum can be utilized, the public features of the icons to be combined serve as the marks of the new combined icons, the combined icons are automatically marked, the marking operation of the icons is simplified, the intelligence of the terminal can be improved, and the user experience is improved.
additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
FIG. 1 is a flow diagram illustrating a method of icon annotation in accordance with an exemplary embodiment;
FIG. 2 is a diagram illustrating an application classification tree in accordance with an illustrative embodiment;
FIG. 3 is a flow diagram illustrating another method of icon annotation in accordance with an exemplary embodiment;
FIG. 4 is a flow diagram illustrating yet another method of icon annotation in accordance with an exemplary embodiment;
FIG. 5 is a flow diagram illustrating yet another method of icon annotation in accordance with an exemplary embodiment;
FIG. 6 is a flow diagram illustrating yet another method of icon annotation in accordance with an exemplary embodiment;
FIG. 7 is a flow chart illustrating yet another method of icon annotation in accordance with an exemplary embodiment;
FIG. 8 is a flow chart illustrating yet another method of icon annotation in accordance with an exemplary embodiment;
FIG. 9 is a flow chart illustrating yet another method of icon annotation in accordance with an exemplary embodiment;
FIG. 10 is a block diagram illustrating an icon annotation device in accordance with an exemplary embodiment;
FIG. 11 is a block diagram illustrating a condition determination module in accordance with an exemplary embodiment;
FIG. 12 is a block diagram illustrating an icon annotation module in accordance with an exemplary embodiment;
FIG. 13 is a block diagram illustrating another icon annotation device in accordance with an exemplary embodiment;
FIG. 14 is a block diagram illustrating yet another iconic marking device in accordance with an exemplary embodiment;
FIG. 15 is a block diagram illustrating yet another iconic marking device in accordance with an exemplary embodiment;
FIG. 16 is a block diagram illustrating an electronic device in accordance with an example embodiment.
Detailed Description
the following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
fig. 1 is a flowchart illustrating an icon labeling method according to an exemplary embodiment, which is applied to a terminal, and as shown in fig. 1, the method includes the following steps:
step 101, obtaining a predetermined application classification relation spectrum according to the received icon merging instruction.
the application classification relation spectrum is a classification relation spectrum for all application programs determined according to the characteristics of all applications in the application store, and the classification relation spectrum comprises classification association relations among all application programs.
for example, when the terminal receives an icon merging instruction sent by a user, where the merged icon may correspond to a folder icon or an application icon, for example, when the user drags one application icon to overlap with another application icon, it indicates that the user wants to merge the two applications; alternatively, an application icon may be dragged to overlap a folder icon, indicating that the user wants to incorporate the application into the folder. Then, the terminal obtains a predetermined application classification relation spectrum according to the icon merging instruction, where the application classification relation spectrum includes a classification association relation of application programs determined according to massive data of the application programs in the application store, and for example, the application classification relation spectrum may be represented in the form of a tree diagram, and fig. 2 is a schematic diagram of a part of application classification tree, where each node (game, video, entertainment, finance, and the like) is a classification feature of an application program and is an attribute capable of embodying each application program, and each application program is used as a lowest node of the application classification tree structure. For example, the application 6 is largely classified as an entertainment application, and is further subdivided into music applications.
in addition, it should be noted that the application classification tree may be stored in an application store, and may be obtained at any time according to an icon merging instruction of a user; or the application classification tree can be partially cached on the terminal of the user, and can only comprise the application program which is downloaded currently on the terminal, so that the application classification tree can be directly called when the icons are combined.
and 102, determining whether the first icon and the second icon to be combined by the icon combination instruction meet the automatic labeling condition according to the application classification relation spectrum.
for example, when the first icon and the second icon are both applications, and the automatic labeling condition is necessarily satisfied, that is, the operation of step 103 may be used to label the combined new icon with the common features of the two applications. When one or both of the first icon and the second icon are folder icons, the labeling of the folder may be manually input by a user instead of automatic labeling according to the classification features in the application classification relationship spectrum, so that automatic labeling cannot be performed according to the common features of the first icon and the second icon during merging, that is, the automatic labeling condition is not met.
and 103, when the automatic labeling condition is met, determining the common characteristics of the first icon and the second icon determined according to the application classification relation spectrum as the label of the new icon generated after the first icon and the second icon are combined.
For example, when it is determined that the first icon and the second icon can be automatically labeled according to the previous step, it is described that there is a common feature in the first icon and the second icon, where the common feature is a common parent node on the application classification relation spectrum, that is, the application classification tree, that is, the new icon generated after merging can be automatically labeled as the common parent node. As shown in fig. 2, when the application 1 and the application 2 are to be merged, the common feature, i.e., the common parent node (common feature), is "game", and the label of the merged new icon is "game", so that when the icons are merged, the label of the merged new icon can be automatically labeled according with the classification feature.
In summary, according to the icon labeling method provided by the present disclosure, a predetermined application classification relation spectrum is obtained according to a received icon merging instruction, where the application classification relation spectrum is a classification relation spectrum for all application programs determined according to characteristics of all applications in an application store, and the classification relation spectrum includes classification association relations among all application programs; then determining whether a first icon and a second icon to be combined by the icon combination instruction meet an automatic labeling condition according to the application classification relation spectrum; and when the automatic labeling condition is met, determining the common characteristics of the first icon and the second icon determined according to the application classification relation spectrum as the label of the new icon generated after the first icon and the second icon are combined. Therefore, the combined icons can be automatically labeled by utilizing the application classification relation spectrum, the labeling operation of the icons is simplified, the intelligence of the terminal can be improved, and the user experience is improved.
fig. 3 is a flowchart illustrating another icon labeling method according to an exemplary embodiment, where as shown in fig. 3, the determining whether the first icon and the second icon to be combined by the icon combining instruction satisfy the automatic labeling condition according to the application classification relationship spectrum in step 102 includes the following steps:
step 1020, determine whether the first icon and the second icon are both application icons.
When the first icon and the second icon are both application icons, step 1023 is executed to determine that the automatic labeling condition is satisfied.
for example, when both icons are application icons, both icons can find corresponding nodes on the application classification tree, and thus it can be determined that the condition for automatic labeling is satisfied.
when at least one of the first icon and the second icon is a folder icon, step 1021 is executed to determine an annotation of the folder icon.
step 1022, find labels in the application classification tree.
that is, whether there is a matching child node in the application classification tree is searched, and according to the search result, it is determined to execute step 1023 or step 1024.
When there is a child node matching the label in the application classification tree, step 1023 is performed to determine that the automatic labeling condition is satisfied.
when there is no child node matching the label in the application classification tree, step 1024 is executed to determine that the automatic labeling condition is not satisfied.
and 1025, when the automatic labeling condition is not met and one of the first icon and the second icon is the folder icon, taking the label of the folder icon in the first icon and the second icon as the label of a new icon generated after the first icon and the second icon are combined.
for example, it can be determined through the above steps whether two icons that need to be merged in the icon merging instruction have labels that match nodes in the application classification tree, that is, when a folder icon exists in the two icons, it is first determined whether the label of the folder icon is self-defined, that is, it is queried whether there is a matching child node in the application classification tree. For example, when the first icon is a folder icon, it is labeled as "unusual", and the second icon is an application icon, then step 1022 is performed, the label "unusual" of the first icon is searched, when it is determined that there is no child node matching the label in the application classification tree, it indicates that the automatic labeling condition is not satisfied, the operation of step 1025 may be performed, the application corresponding to the second icon is classified in the folder corresponding to the first icon, and the label of the generated new folder is maintained as "unusual".
Fig. 4 is a flowchart illustrating a further icon labeling method according to an exemplary embodiment, where, as shown in fig. 4, when the automatic labeling condition is satisfied, the determining, in step 103, the common feature of the first icon and the second icon determined according to the application classification relationship spectrum as a label of a new icon generated after the first icon and the second icon are merged includes the following steps:
step 1031, obtaining a first node corresponding to the first icon on the application classification tree and a second node corresponding to the second icon on the application classification tree.
step 1032, two paths from the first node and the second node to the root node of the application classification tree are respectively determined.
Step 1033 determines a first identical node from the first node and the second node as a common feature on both paths.
Step 1034, the common features are marked as new icons.
Illustratively, when determining the common features of the first icon and the second icon, first determining the positions of the first icon and the second icon on the application classification tree, then determining a path to a root node of the application classification tree according to the positions, and searching for a common node on the path, wherein the common node is the common feature and is also used as a label of the new icon.
for example, the first icon is an icon of an application program, i.e., the application program 3, the second icon is also an icon of an application program, i.e., the application program 6, the first node corresponding to the first icon is an "action game", and the second node corresponding to the second icon is a "live broadcast", so that the paths from the starting point of the "action game" and the starting point of the "live broadcast" to the root node "application program" of the application classification tree are respectively determined as follows: the "action game" - "entertainment" - "application" and the "live" - "video" - "entertainment" - "application" can determine that the first same node on the two paths is "entertainment" and further can determine that the label of the new icon after the application 3 and the application 6 are merged is "entertainment".
Illustratively, the first icon and the second icon are application icons, and as shown in fig. 5, the obtaining a first node corresponding to the first icon on the application classification tree and a second node corresponding to the second icon on the application classification tree in step 1031 includes the following steps:
Step 10311, determining a first application program corresponding to the first icon and a second application program corresponding to the second icon.
step 10312, determining a first classification feature corresponding to the first application program and a second classification feature corresponding to the second application program.
the first classification characteristic is an upper node of the first application program on the application classification tree, and the second classification characteristic is an upper node of the second application program on the application classification tree.
and step 10313, determining the first classification characteristic as a first node, and determining the second classification characteristic as a second node.
that is, since the first icon and the second icon are both application icons, it is first necessary to determine the applications corresponding to the two icons, for example, when the first application is application 1, the second application is application 7. Then, as shown in fig. 2, on the application classification tree, if the upper node corresponding to the application program 1 is determined to be the "policy game" and the upper node corresponding to the application program 7 is determined to be the "music", the first node may be determined to be the "policy game" and the second node may be determined to be the "music".
illustratively, the first icon and the second icon are folder icons, and as shown in fig. 6, the obtaining a first node corresponding to the first icon on the application classification tree and a second node corresponding to the second icon on the application classification tree in step 1031 includes the following steps:
step 10314, determining a first label of the folder corresponding to the first icon and a second label of the folder corresponding to the second icon.
And step 10315, determining the first label and the second label as a first node and a second node respectively.
That is, when the folders are merged, since the first icon and the second icon satisfy the automatic labeling condition, it is described that the labels of the first icon and the second icon are child nodes on the classification application tree. For example, if the first icon is labeled "action game" and the second icon is labeled "strategy game", then the first node and the second node may be determined to be "action game" and "strategy game", respectively, before continuing with the operations of steps 1032-1034 to determine the common characteristic.
In addition, there is also a case where one of the first icon and the second icon is a folder icon, for example, the first icon is an application icon and the second icon is a folder icon. As shown in fig. 7, the obtaining of the first node corresponding to the first icon on the application classification tree and the second node corresponding to the second icon on the application classification tree in step 1031 includes the following steps:
And step 10316, determining the application program corresponding to the first icon.
Step 10317, determining the classification characteristics of the application program, wherein the classification characteristics are the upper nodes of the application program on the application classification tree.
And step 10318, determining the classification features as the first nodes.
And step 10319, determining the label of the folder corresponding to the second icon.
and step 10310, determining the label correspondence as a second node.
that is to say, when the first icon and the second icon are the application icon and the folder icon, respectively, the method described in fig. 5 and fig. 6 needs to be used to determine the first node of the application icon and the second node of the folder icon, which is not described herein again.
FIG. 8 is a flowchart illustrating yet another method of icon annotation, according to an exemplary embodiment, as shown in FIG. 8, the method further includes:
step 801, obtain all features of all applications.
Step 802, determining unrepeated feature keywords according to all features of all applications.
And step 803, classifying the feature keywords and determining a feature structure tree.
wherein, the feature structure tree is a classification tree diagram composed of all feature keywords.
And step 804, according to the classification characteristics of all the application programs, respectively and correspondingly determining all the applications as the bottommost nodes of the characteristic structure tree.
step 805, the feature structure tree with the lowest level node is determined as the application classification tree.
Illustratively, all applications in the application store have a plurality of features, such as the features included in application 0 in fig. 2: entertainment, games, strategy games; after all the features are obtained, the repeated features need to be removed, then the feature structure tree constructed by the feature keywords is determined, wherein the feature structure tree does not include the application program, then the application programs are respectively classified under the belonged classification features to be used as the bottommost node of the feature structure tree, and the application classification tree shown in fig. 2 is generated through the steps.
in addition, when a developer of an application develops a new application, the new application needs to be classified, and an existing application classification tree is updated, as shown in fig. 9, the icon labeling method further includes the following steps:
When a new application is added at the application store, all features of the new application are determined, step 806.
In step 807, the feature located at the lowest node of the feature structure tree in all the features of the new application is used as the first feature.
step 808, categorize the new application into a lower level node of the first characteristic in the application classification tree.
illustratively, for a new application, it needs to be added to the original application classification tree, so it is determined that it can be added to the lowest node of the original application classification tree according to the first feature of the application, and the application classification tree is completed. Furthermore, for new applications, adding to the application classification tree can also be done manually: for example, an application developer manually classifies a new application into an existing application classification tree based on the type of application that is customized. For example, when a developer uploads a new application, the application store prompts the developer to select a classification of the corresponding application, and the application store updates the application classification tree according to the classification, so that the terminal user performs the automatic labeling operations from step 101 to step 103 by using the application classification tree when the terminal user downloads the new application through the application store and then merges the new application.
in summary, according to the icon labeling method provided by the present disclosure, a predetermined application classification relation spectrum is obtained according to a received icon merging instruction, where the application classification relation spectrum is a classification relation spectrum for all application programs determined according to characteristics of all applications in an application store, and the classification relation spectrum includes classification association relations among all application programs; then determining whether a first icon and a second icon to be combined by the icon combination instruction meet an automatic labeling condition according to the application classification relation spectrum; and when the automatic labeling condition is met, determining the common characteristics of the first icon and the second icon determined according to the application classification relation spectrum as the label of the new icon generated after the first icon and the second icon are combined. Therefore, the combined icons can be automatically labeled by utilizing the application classification relation spectrum, the labeling operation of the icons is simplified, the intelligence of the terminal can be improved, and the user experience is improved.
fig. 10 is a block diagram illustrating an icon labeling apparatus according to an exemplary embodiment, as shown in fig. 10, applied to a terminal, the apparatus 1000 including:
the map obtaining module 1010 is configured to obtain a predetermined application classification relation spectrum according to the received icon merging instruction, where the application classification relation spectrum is a classification relation spectrum for all application programs determined according to the features of all application programs in the application store, and the classification relation spectrum includes classification association relations among all application programs.
and a condition determining module 1020, configured to determine whether the first icon and the second icon to be merged by the icon merging instruction satisfy an automatic labeling condition according to the application classification relation spectrum.
and an icon labeling module 1030, configured to determine, when an automatic labeling condition is met, common features of the first icon and the second icon determined according to the application classification relation spectrum as a label of a new icon generated after the first icon and the second icon are merged.
Optionally, the application classification relation spectrum is an application classification tree, and the condition determining module 1020 is configured to: and when the first icon and the second icon are both application icons, determining that the automatic labeling condition is met.
optionally, the application classification relation spectrum is an application classification tree, fig. 11 is a block diagram illustrating a condition determining module according to an exemplary embodiment, and as shown in fig. 11, the condition determining module 1020 includes:
an annotation determination sub-module 1021 configured to determine an annotation for the folder icon when at least one of the first icon and the second icon is the folder icon.
And the label searching submodule 1022 is used for searching labels in the application classification tree.
The condition determining sub-module 1023 is used for determining that the automatic labeling condition is satisfied when there is a sub-node matching the label in the application classification tree.
the condition determining sub-module 1023 is further used for determining that the automatic labeling condition is not satisfied when there is no child node matching the label in the application classification tree.
FIG. 12 is a block diagram illustrating an icon labeling module, according to an exemplary embodiment, and as shown in FIG. 12, the icon labeling module 1030 includes:
the node obtaining sub-module 1031 is configured to obtain a first node corresponding to the first icon on the application classification tree and a second node corresponding to the second icon on the application classification tree.
the path determining sub-module 1032 is configured to determine two paths from the first node and the second node to the root node of the application classification tree, respectively.
A feature determination sub-module 1033 for determining a first identical node from the first node and the second node as a common feature on both paths.
an annotation determination sub-module 1034 for labeling the common features as new icons.
optionally, the first icon and the second icon are application icons, and the node acquisition sub-module 1031 is configured to:
Determining a first application program corresponding to the first icon and a second application program corresponding to the second icon;
Determining a first classification characteristic corresponding to a first application program and a second classification characteristic corresponding to a second application program, wherein the first classification characteristic is an upper node of the first application program on an application classification tree, and the second classification characteristic is an upper node of the second application program on the application classification tree;
The first classification characteristic is determined as a first node and the second classification characteristic is determined as a second node.
Optionally, the first icon and the second icon are folder icons, and the node acquisition sub-module 1031 is configured to:
determining a first label of the folder corresponding to the first icon and a second label of the folder corresponding to the second icon;
and determining the first label and the second label as a first node and a second node respectively.
optionally, the first icon is an application icon and the second icon is a folder icon, and the node acquisition sub-module 1031 is configured to:
Determining an application program corresponding to the first icon;
determining the classification characteristics of the application program, wherein the classification characteristics are upper nodes of the application program on an application classification tree;
Determining the classification characteristic as a first node;
determining the label of the folder corresponding to the second icon;
And correspondingly determining the label as a second node.
Fig. 13 is a block diagram illustrating another icon labeling apparatus according to an exemplary embodiment, and as shown in fig. 13, the apparatus 1000 further includes:
and the label holding module 1040 is configured to, when the automatic labeling condition is not satisfied and one of the first icon and the second icon is a folder icon, use a label of the folder icon in the first icon and the second icon as a label of a new icon generated after the first icon and the second icon are merged.
optionally, fig. 14 is a block diagram illustrating another icon labeling apparatus according to an exemplary embodiment, and as shown in fig. 14, the apparatus 1000 further includes:
A feature obtaining module 1050 is used to obtain all features of all applications.
A keyword determining module 1060, configured to determine non-repeating feature keywords according to all features of all applications.
the structure tree determining module 1070 is configured to classify the feature keywords and determine a feature structure tree, where the feature structure tree is a classification tree diagram formed by all the feature keywords.
And a bottom node determining module 1080, configured to correspondingly determine all applications as the bottom nodes of the feature structure tree according to the classification features of all the application programs.
And a classification tree determining module 1090, configured to determine the feature structure tree with the lowest node as an application classification tree.
Optionally, fig. 15 is a block diagram illustrating another icon labeling apparatus according to an exemplary embodiment, and as shown in fig. 15, the apparatus 1000 further includes:
The feature obtaining module 1050 is further configured to determine all features of the new application when the new application is added to the application store.
the feature determination module 1100 is configured to use, as the first feature, a feature located at a lowest node of the feature structure tree among all features of the new application.
an application classification module 1110 is configured to classify the new application into a lower node of the first feature in the application classification tree.
in summary, the icon labeling apparatus provided in the present disclosure obtains a predetermined application classification relationship spectrum according to a received icon merging instruction, where the application classification relationship spectrum is a classification relationship spectrum for all application programs determined according to characteristics of all applications in an application store, and the classification relationship spectrum includes classification association relationships among all application programs; then determining whether a first icon and a second icon to be combined by the icon combination instruction meet an automatic labeling condition according to the application classification relation spectrum; and when the automatic labeling condition is met, determining the common characteristics of the first icon and the second icon determined according to the application classification relation spectrum as the label of the new icon generated after the first icon and the second icon are combined. Therefore, the combined icons can be automatically labeled by utilizing the application classification relation spectrum, the labeling operation of the icons is simplified, the intelligence of the terminal can be improved, and the user experience is improved.
Fig. 16 is a block diagram illustrating an electronic device 1600 that may be provided as an icon annotation apparatus in accordance with an exemplary embodiment. As shown in fig. 16, the electronic device 1600 may include: a processor 1601, a memory 1602, multimedia components 1603, input/output (I/O) interfaces 1604, and a communications component 1605.
The processor 1601 is configured to control the overall operation of the electronic device 1600, so as to complete all or part of the steps in the icon labeling method. The memory 1602 is used to store various types of data to support operation at the electronic device 1600, which may include, for example, instructions for any application or method operating on the electronic device 1600, as well as application-related data, such as pictures, audio, video, application features, annotation modifications to folder icons, and application classification relationship profiles, to name a few. Based on this, the processor 1601 may utilize the application classification relation spectrum in the Memory 1602 to execute the step 102 and the step 103 in the graph marking method, where the Memory 1602 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as a Static Random Access Memory (SRAM), an Electrically erasable Programmable Read-Only Memory (EEPROM), an erasable Programmable Read-Only Memory (EPROM), a Programmable Read-Only Memory (PROM), a Read-Only Memory (ROM), a magnetic Memory, a flash Memory, a magnetic disk or an optical disk. The electronic device 1600 can obtain the application classification relationship spectrum sent by the server through the communication component 1605. The database of the server side stores an application classification relation spectrum formed by the characteristics of all application programs of an application store, so that when the mobile terminal needs to acquire the application classification relation spectrum, the server side receives a harvest instruction and sends the harvest instruction to the mobile terminal. In addition, the memory 1602 of the electronic device may also store an application classification tree, so that the processor 1601 may directly perform an operation of querying the corresponding common feature according to the merge icon. Multimedia components 1603 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may further be stored in memory 1602 or transmitted through communications component 1605. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 1604 provides an interface between the processor 1601 and other interface modules, such as a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 1605 is used for wired or wireless communication between the electronic device 1600 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so that the corresponding Communication component 1605 may include: Wi-Fi module, bluetooth module, NFC module.
it should be noted that the processor 1601 may further perform the above-mentioned functions of determining whether the automatic labeling condition is satisfied and automatically labeling the satisfied merged icon, and since the automatic labeling function and the condition determining function are already described above, they are not described herein again.
in an exemplary embodiment, the electronic Device 1600 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the icon labeling method described above.
The electronic device of this embodiment may query the application classification relationship spectrum locally or through a server, so as to perform the above icon tagging operation. And then can utilize application classification relation spectrum to realize the automatic mark to the icon after the combination, simplify the mark operation of icon, and then can improve the intelligence of terminal, promote user experience.
in another exemplary embodiment, a computer readable storage medium comprising program instructions, such as the memory 1602 comprising program instructions, executable by the processor 1601 of the electronic device 1600 to perform the icon annotation method described above is also provided.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
it should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, various possible combinations will not be separately described in this disclosure.
in addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.
Claims (22)
1. an icon labeling method is applied to a terminal, and comprises the following steps:
Acquiring a predetermined application classification relation spectrum according to a received icon merging instruction, wherein the application classification relation spectrum is the classification relation spectrum of all application programs determined according to the characteristics of all application programs in an application store, and the classification relation spectrum comprises the classification association relation among all the application programs;
determining whether a first icon and a second icon to be combined by the icon combination instruction meet an automatic labeling condition or not according to the application classification relation spectrum;
And when the automatic labeling condition is met, determining the common characteristics of the first icon and the second icon determined according to the application classification relation spectrum as the label of a new icon generated after the first icon and the second icon are combined.
2. The method of claim 1, wherein the application classification relationship spectrum is an application classification tree, and wherein determining whether a first icon and a second icon to be merged by the icon merging instruction satisfy an automatic labeling condition according to the application classification relationship spectrum comprises:
and when the first icon and the second icon are both application icons, determining that the automatic labeling condition is met.
3. the method of claim 1, wherein the application classification relationship spectrum is an application classification tree, and wherein determining whether a first icon and a second icon to be merged by the icon merging instruction satisfy an automatic labeling condition according to the application classification relationship spectrum comprises:
Determining an annotation for the folder icon when at least one of the first icon and the second icon is a folder icon;
Searching the label in the application classification tree;
When a child node matched with the label exists in the application classification tree, determining that the automatic labeling condition is met;
Determining that the automatic labeling condition is not satisfied when there is no child node matching the label in the application classification tree.
4. The method according to claim 2 or 3, wherein when the automatic labeling condition is satisfied, determining the common feature of the first icon and the second icon determined according to the application classification relation spectrum as the label of the new icon generated after the first icon and the second icon are merged comprises:
Acquiring a first node corresponding to the first icon on the application classification tree and a second node corresponding to the second icon on the application classification tree;
Determining two paths from the first node and the second node to a root node of the application classification tree respectively;
determining a first identical node from the first node and the second node as the common feature on the two paths;
and taking the common characteristic as a label of the new icon.
5. the method of claim 4, wherein the first icon and the second icon are application icons, and wherein the obtaining a first node corresponding to the first icon on the application classification tree and a second node corresponding to the second icon on the application classification tree comprises:
determining a first application program corresponding to the first icon and a second application program corresponding to the second icon;
Determining a first classification feature corresponding to the first application program and a second classification feature corresponding to the second application program, wherein the first classification feature is an upper node of the first application program on the application classification tree, and the second classification feature is an upper node of the second application program on the application classification tree;
Determining the first classification characteristic as the first node and the second classification characteristic as the second node.
6. The method of claim 4, wherein the first icon and the second icon are folder icons, and wherein the obtaining a first node corresponding to the first icon on the application classification tree and a second node corresponding to the second icon on the application classification tree comprises:
determining a first label of the folder corresponding to the first icon and a second label of the folder corresponding to the second icon;
determining the first label and the second label as the first node and the second node, respectively.
7. The method of claim 4, wherein the first icon is an application icon and the second icon is the folder icon, and wherein obtaining a first node corresponding to the first icon on the application classification tree and a second node corresponding to the second icon on the application classification tree comprises:
determining an application program corresponding to the first icon;
determining a classification feature of the application program, wherein the classification feature is an upper node of the application program on the application classification tree;
Determining the classification feature as the first node;
determining the label of the folder corresponding to the second icon;
and correspondingly determining the label as the second node.
8. The method of claim 3, further comprising:
And when the automatic labeling condition is not met and one of the first icon and the second icon is the folder icon, taking the label of the folder icon in the first icon and the second icon as the label of a new icon generated after the first icon and the second icon are combined.
9. a method according to claim 2 or 3, characterized in that the method further comprises:
acquiring all characteristics of all applications;
determining unrepeated feature keywords according to all features of all the applications;
Classifying the feature keywords to determine a feature structure tree, wherein the feature structure tree is a classification tree diagram formed by all the feature keywords;
According to the classification features of all the application programs, correspondingly determining all the applications as the bottommost nodes of the feature structure tree respectively;
determining the feature structure tree with the bottom-most node as the application classification tree.
10. the method of claim 9, further comprising:
when a new application is added at the application store, determining all features of the new application;
taking the feature of the lowest node of the feature structure tree in all the features of the new application program as a first feature;
And classifying the new application program into a lower node of the first characteristic in the application classification tree.
11. An icon labeling device, applied to a terminal, the device comprising:
the map acquisition module is used for acquiring a predetermined application classification relation spectrum according to the received icon merging instruction, wherein the application classification relation spectrum is a classification relation spectrum of all application programs determined according to the characteristics of all application programs in an application store, and the classification relation spectrum comprises classification incidence relations among all the application programs;
the condition determining module is used for determining whether the first icon and the second icon to be combined by the icon combining instruction meet an automatic labeling condition according to the application classification relation spectrum;
And the icon labeling module is used for determining the common characteristics of the first icon and the second icon determined according to the application classification relation spectrum as the label of a new icon generated after the first icon and the second icon are combined when the automatic labeling condition is met.
12. The apparatus of claim 11, wherein the application classification relationship spectrum is an application classification tree, and wherein the condition determining module is configured to:
And when the first icon and the second icon are both application icons, determining that the automatic labeling condition is met.
13. the apparatus of claim 11, wherein the application classification relationship spectrum is an application classification tree, and wherein the condition determining module comprises:
an annotation determination sub-module, configured to determine an annotation for the folder icon when at least one of the first icon and the second icon is the folder icon;
The label searching submodule is used for searching the label in the application classification tree;
A condition determining submodule for determining that the automatic labeling condition is satisfied when a child node matching the label exists in the application classification tree;
The condition determining submodule is further configured to determine that the automatic labeling condition is not satisfied when there is no child node matching the label in the application classification tree.
14. The apparatus of claim 12 or 13, wherein the icon labeling module comprises:
the node obtaining submodule is used for obtaining a first node corresponding to the first icon on the application classification tree and a second node corresponding to the second icon on the application classification tree;
a path determining submodule, configured to determine two paths from the first node and the second node to a root node of the application classification tree, respectively;
a feature determination submodule configured to determine, on the two paths, a first same node from the first node and the second node as the common feature;
And the label determining sub-module is used for taking the public features as the labels of the new icons.
15. The apparatus of claim 14, wherein the first icon and the second icon are application icons, and wherein the node acquisition sub-module is configured to:
determining a first application program corresponding to the first icon and a second application program corresponding to the second icon;
determining a first classification feature corresponding to the first application program and a second classification feature corresponding to the second application program, wherein the first classification feature is an upper node of the first application program on the application classification tree, and the second classification feature is an upper node of the second application program on the application classification tree;
determining the first classification characteristic as the first node and the second classification characteristic as the second node.
16. The apparatus of claim 14, wherein the first icon and the second icon are folder icons, and wherein the node acquisition sub-module is configured to:
determining a first label of the folder corresponding to the first icon and a second label of the folder corresponding to the second icon;
determining the first label and the second label as the first node and the second node, respectively.
17. The apparatus of claim 14, wherein the first icon is an application icon and the second icon is the folder icon, and wherein the node acquisition sub-module is configured to:
Determining an application program corresponding to the first icon;
determining a classification feature of the application program, wherein the classification feature is an upper node of the application program on the application classification tree;
determining the classification feature as the first node;
Determining the label of the folder corresponding to the second icon;
And correspondingly determining the label as the second node.
18. the apparatus of claim 13, further comprising:
And the label keeping module is used for taking the label of the folder icon in the first icon and the second icon as the label of a new icon generated after the first icon and the second icon are combined when the automatic labeling condition is not met and one of the first icon and the second icon is the folder icon.
19. the apparatus of claim 12 or 13, further comprising:
the characteristic acquisition module is used for acquiring all characteristics of all the applications;
a keyword determining module, configured to determine non-repetitive feature keywords according to all the features of all the applications;
the structure tree determining module is used for classifying the feature keywords and determining a feature structure tree, wherein the feature structure tree is a classification tree diagram consisting of all the feature keywords;
the bottom node determining module is used for correspondingly determining all the applications as the bottom nodes of the feature structure tree according to the classification features of all the application programs;
And the classification tree determining module is used for determining the characteristic structure tree with the bottommost node as the application classification tree.
20. the apparatus of claim 19, further comprising:
the characteristic acquisition module is further used for determining all characteristics of a new application program when the new application program is added to the application store;
the characteristic determining module is used for taking the characteristic of the node at the bottommost layer of the characteristic structure tree in all the characteristics of the new application program as a first characteristic;
and the application classification module is used for classifying the new application program to a lower node of the first characteristic in the application classification tree.
21. a computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 10.
22. An electronic device, comprising:
The computer-readable storage medium recited in claim 21; and
One or more processors to execute the computer program in the computer-readable storage medium.
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