WO2019041280A1

WO2019041280A1 - Application resource recommendation method and related device

Info

Publication number: WO2019041280A1
Application number: PCT/CN2017/100083
Authority: WO
Inventors: 罗月
Original assignee: 深圳市云中飞网络科技有限公司
Priority date: 2017-08-31
Filing date: 2017-08-31
Publication date: 2019-03-07
Also published as: CN110771121A

Abstract

An application resource recommendation method comprises: a server obtains a history search record of a user (101); the server determines N application resources according to the history search record, N being an integer greater than 1 (102); the server determines a recommendation policy according to application labels of the N application resources (103); and the server recommends the application resources to the user according to the determined recommendation policy (104). Also provided is a related device. The accuracy of resource recommendation can be improved.

Description

Application resource recommendation method and related equipment

Technical field

The present application relates to the field of electronic technologies, and in particular, to an application resource recommendation method and related devices.

Background technique

Nowadays, terminal devices (such as smart phones) are already indispensable tools for people's daily life, and application resources (Application, APP) of various functions have emerged at the historic moment, bringing great convenience to people. The usual way to install an app on a terminal device is to download the app resource on the software store and install it. In order to give people a better experience, the software store can recommend application resources to users during use. Currently, the application resource recommendation method has recommended the application resource with the most downloaded times, recommended the application resource with a relatively short update time, or recommended the application resource with higher score.

Summary of the invention

An application resource recommendation method and related device are provided to recommend an application resource to a user based on a search record of the user, thereby improving the accuracy of the resource recommendation.

In a first aspect, an embodiment of the present application provides an application resource recommendation method, including:

The server obtains a historical search record of the user;

Determining, by the server, N application resources according to the historical search record, where N is an integer greater than 1;

Determining, by the server, a recommendation policy according to an application label of the N application resources;

The server recommends the application resource to the user according to the determined recommendation policy.

In a second aspect, the embodiment of the present application provides an application resource recommendation method, including:

The terminal device acquires an application resource recommended by the server based on the recommended policy, where the application resource is determined by the server based on a historical search record of the user, and the recommended policy is determined by the server based on the first application label of the application resource;

The terminal device displays application resources recommended by the server.

In a third aspect, an embodiment of the present application provides a server, including:

An obtaining unit, configured to acquire a historical search record of the user;

a determining unit, configured to determine, according to the historical search record, N application resources, where N is an integer greater than 1, and determining a recommendation policy according to an application label of the N application resources;

a recommendation unit, configured to recommend the application resource to the user according to the determined recommendation policy.

In a fourth aspect, the embodiment of the present application provides a terminal device, including a processing unit, where the processing unit includes an acquiring unit and a display unit:

The acquiring unit is configured to obtain an application resource recommended by the server based on the recommended policy, where the application resource is determined by the server based on a historical search record of the user, where the recommendation policy is determined by the server according to the first application label of the application resource. of;

The display unit is configured to display application resources recommended by the server.

In a fifth aspect, an embodiment of the present application provides a server, including one or more processors, one or more memories, one or more transceivers, and one or more programs, where the one or more programs are stored. In the memory, and configured to be executed by the one or more processors, the program includes instructions for performing the steps in the method of the first aspect.

In a sixth aspect, an embodiment of the present application provides a terminal device, including one or more processors, one or more memories, one or more transceivers, and one or more programs, where the one or more programs are Stored in the memory and configured to be executed by the one or more processors, the program comprising instructions for performing the steps in the method of the second aspect.

In a seventh aspect, an embodiment of the present application provides a computer readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method as described in the first aspect.

In an eighth aspect, an embodiment of the present application provides a computer readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method as described in the second aspect.

In a ninth aspect, the embodiment of the present application provides a computer program product, where the computer program product includes a non-transitory computer readable storage medium storing a computer program, the computer program The computer is caused to perform the method as described in the first aspect.

In a tenth aspect, embodiments of the present application provide a computer program product, comprising: a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause a computer to perform the first aspect The method described.

For the recommended methods described in the background, the recommended application resources are the same for different users, and the recommended application resources may not be the applications required by the user, and the accuracy of the resource recommendation is reduced. In the application, the recommended application resource is determined based on the historical search record of the user, and the accuracy of the application resource recommended by the user may be improved. In addition, the recommendation policy of the application resource is determined based on the application label of the application resource to be recommended. Can improve the flexibility of application resource recommendation.

These and other aspects of the present application will be more readily apparent from the following description of the embodiments.

DRAWINGS

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the embodiments or the prior art description will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present application, and other drawings can be obtained according to the drawings without any creative work for those skilled in the art.

1 is a schematic flowchart of an application resource recommendation method according to an embodiment of the present invention;

2 is a schematic diagram of an interface according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of another interface provided by an embodiment of the present invention; FIG.

4 is a schematic flowchart of another application resource recommendation method according to an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of a server according to an embodiment of the present disclosure;

FIG. 6 is a schematic structural diagram of a terminal device according to an embodiment of the present disclosure;

FIG. 7 is a schematic structural diagram of another server according to an embodiment of the present disclosure;

FIG. 8 is a schematic structural diagram of another terminal device according to an embodiment of the present disclosure;

FIG. 9 is a schematic structural diagram of another terminal device according to an embodiment of the present invention.

Detailed ways

In order to enable those skilled in the art to better understand the solution of the present application, the following will be implemented in conjunction with the present application. The technical solutions in the embodiments of the present application are clearly and completely described in the accompanying drawings. It is obvious that the described embodiments are only a part of the embodiments of the present application, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope shall fall within the scope of the application.

The details are described below separately.

The terms "first", "second", "third", and "fourth" and the like in the specification and claims of the present application and the drawings are used to distinguish different objects, and are not used to describe a specific order. . Furthermore, the terms "comprises" and "comprising" and "comprising" are intended to cover a non-exclusive inclusion. For example, a process, method, system, product, or device that comprises a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units not listed, or, optionally, Other steps or units inherent to these processes, methods, products or equipment.

References to "an embodiment" herein mean that a particular feature, structure, or characteristic described in connection with the embodiments can be included in at least one embodiment of the present application. The appearances of the phrases in various places in the specification are not necessarily referring to the same embodiments, and are not exclusive or alternative embodiments that are mutually exclusive. Those skilled in the art will understand and implicitly understand that the embodiments described herein can be combined with other embodiments.

A terminal device is a device that provides voice and/or data connectivity to a user, for example, a handheld device with wireless connectivity, an in-vehicle device, and the like. Common terminal devices include, for example, mobile phones, tablets, notebook computers, PDAs, mobile internet devices (MIDs), wearable devices, such as smart watches, smart bracelets, pedometers, and the like.

The server provides the device for the computing service. Assuming that the application resource recommendation method described in the present application is applied to a software store, the server is a software store application server.

Referring to FIG. 1 , FIG. 1 is a schematic flowchart of an application resource recommendation method according to an embodiment of the present disclosure, where the method includes:

Step 101: The server acquires a historical search record of the user.

Specifically, in a specific implementation manner of step 101, the server acquires a historical search record of the user in the first time period, where the first time period includes the current system time. For example, suppose the current system time is 15:00, and the first time period is 14:50-15:10, then the server obtains the user recorded in the server at 14:50-15:10. Historical search history within. The specific implementation manner of step 101 is: the server acquires a historical search record of the user in the second time period, and the end time node of the second time period is the current system time. For example, assuming that the current system time is 15:00 and the first time period is 14:40 to 15:00, the server obtains a historical search record of the user recorded in the server between 14:40 and 15:00.

Step 102: The server determines N application resources according to the historical search record, where N is an integer greater than 1.

In an example, the historical search record includes a record of the search term. The specific implementation of step 102 is: the server counts the number of searches of the search term according to the historical search record to obtain the search times of the X search terms; Among the X search words, x search words whose search times are greater than or equal to the third threshold are selected, the x is an integer greater than 1; the server determines N application resources associated with the x search terms.

The third threshold is, for example, 3, 5, 6, 7, 10, 20 or other values.

For example, the third threshold = 10, X = 5, N = 2, assuming that the server obtains the five search terms according to the historical search record statistics: instant communication, game, video playback, audio playback, shopping, these 5 The number of search words for search words is 15 times for instant communication, 20 times for games, 8 times for video playback, 7 times for audio playback, and 5 times for shopping. Then x search terms are instant messaging and games, and the server determines 2 application resources for instant messaging and game management.

In an example, the determining, by the server, the N application resources associated with the x search terms is: the server determines, according to a mapping relationship between the number of search times and the number of application resources, each search word of the x search terms. Corresponding application resource quantity; the server determines an application resource associated with each search term according to the number of application resources corresponding to each search term, to obtain N application resources.

Further, the x search words include a search term i and a search term j. When the search number of the search term i is greater than the search number of the search term j, the number of application resources associated with the search term i is greater than The number of application resources associated with the search term j.

For example, the mapping relationship between the number of searches and the number of application resources is shown in Table 1. Suppose x search words are instant communication and games, the number of search times for instant communication is 15 times, and the number of search times for games is 20 times. According to Table 1, the number of application resources corresponding to instant communication is 7. The number of application resources corresponding to the game The amount is 10, then the server finally determines the 7 application resources associated with the instant messaging and determines the 10 application resources associated with the game.

Table 1

Step 103: The server determines a recommendation policy according to an application label of the N application resources.

The application tag refers to the type indication information of the application resource, for example, “instant communication”, “social chat”, “dating”, “dating friends”, “game”, “cool 3D”, “athleting king”, "Online games", etc., are not limited here.

In an example, the specific implementation of the step 103 is: the server acquires M first application labels of the N application resources, where the M is a positive integer; the server obtains the current display of the terminal device of the user. The W second application tags of the application resource displayed by the interface, where W is a positive integer; when at least one first application tag of the M first application tags matches the W second application tags, Determining, by the server, that the recommended policy for recommending the application resource is a first recommendation policy, where the first recommendation policy is used to recommend the following application resources: an application resource whose download times are greater than or equal to a first threshold, and an application label including the at least An application resource of at least one of the first application tags.

In an example, the server obtains the W second application labels of the application resources that are displayed by the terminal device of the user, and the server sends an information acquisition request to the terminal device. The information acquisition request is used to obtain an application label of the application resource displayed by the current display interface of the terminal device; the terminal device receives an information acquisition request from the server; and the terminal device acquires the current display interface display of the terminal device. Applying W second application tags of the resource, and sending an information response to the server for the information acquisition request, The information response carries W second application tags of the application resources displayed by the current display interface of the terminal device.

In an example, the specific implementation of step 103 is: when any one of the M first application tags does not match the first application tag and the W second application tags, the server determines the recommendation The recommended policy of the N application resources is a second recommendation policy, where the second recommendation policy is used to recommend the following application resources: the application resource whose download times are greater than or equal to the first threshold, and the number of installed times is greater than or equal to the second Threshold application resources, as well as popular application resources.

The first threshold may be, for example, 10, 11, 13, 14, 18, 20 or other values.

The second threshold may be, for example, 11, 12, 15, 16, 18, 25 or other values.

For example, if N=10, the 10 application resources determined by the server are: application resource 1, application resource 2, application resource 3, . . . , application resource 10, and the server acquires the 10 application resources. The application tag gets 30 (ie M) first application tags. The application resources displayed on the current display interface of the terminal device are shown in FIG. 2. As shown in FIG. 2, the application resources displayed by the current display interface of the terminal device are: application resource 11, application resource 12, application resource 13, ..., Applying the resource 19, the server obtains the application tags of the nine application resources, and obtains 20 (that is, W) second application tags. If there are two first application tags in the 30 first application tags that match the 20 second application tags (eg, the first application tag 1 matches the second application tag 1, and the first application tag 2 and the first When the application label 2 matches, the server determines that the recommendation policy is the first recommendation policy. If any one of the 30 first application tags does not match the 20 second application tags, the server determines that the recommendation policy is the second recommendation policy.

The matching between the first application label and the second application label means that the first application label is the same as the second application label. For example, the first application tag is “social chat”, and if the first application tag matches the second application tag, the second application tag is also “social chat”.

The first recommendation policy is used to recommend that the application label include the application resource of the at least one of the at least one first application label. For example, the at least one first application label is assumed to be the first application label 1 and the second application label. 1. The first recommendation policy is used to recommend that the application label includes the application resource of the first application label 1, the first application label 2, or the first application label 1 and the first application label 2.

The application resource whose downloaded times are greater than or equal to the first threshold refers to being uploaded from the application resource. The application resources whose download times are greater than or equal to the first threshold are accumulated. The application resource whose installed number is greater than or equal to the second threshold refers to an application resource that is accumulated from the application resource after the online installation is greater than or equal to the second threshold. Popular application resources refer to application resources that have been downloaded more frequently and/or have been installed more frequently.

Step 104: The server recommends the application resource to the terminal device of the user according to the determined recommendation policy.

In an example, when the server determines that the recommendation policy is the first recommendation policy, the specific implementation manner of the step 104 is: the server selects, from the N application resources, the K times that the downloaded times are greater than or equal to the first threshold. An application resource, wherein the server selects, from the N application resources, an application tag that includes at least one of the at least one first application tag; the server uses the K application resource and the W The application resources are recommended to the user, and the K and the W are both smaller than the N.

For example, if N=10, the first threshold=20, K=2, and W=2, the 10 application resources determined by the server are: application resource 1, application resource 2, application resource 3, ..... .., Application Resources 10. The server first determines whether there are more than 20 application resources downloaded from the 10 application resources. If there are more than 2, the server selects 2 application resources from the 10 application resources that are downloaded more than 20 times, for example, Application Resource 1 and Application Resource 2. Assume that the at least one first application label is the first application label 1 and the first application label 2, and the server first determines whether the application label includes the first application label 1, the first application label 2, or the first application label. 1 and an application resource of the first application label 2, if the application label includes the application resource 3 of the first application label 1 and the application label includes the application resource 2 of the first application label 2. The server recommends the application resource 1, the application resource 2, and the application resource 3 to the user.

In an example, when the server determines that the recommended policy is the second recommended policy, the specific implementation of the step 104 is: the server selects, from the N application resources, the number of times that the downloaded number is greater than or equal to the first threshold. The application resource: the server selects, from the N application resources, H application resources whose installed times are greater than or equal to a second threshold; the server selects T popular application resources from the N application resources; The server recommends the G application resources, the H application resources, and the T popular application resources to the user, the G, the H, and the T Both are smaller than the N.

For example, N=10, the first threshold=20, the second threshold=18, G=2, and H=1. The 10 application resources determined by the server are: application resource 1, application resource 2, and application resource 3, ......., Application Resources 10. The server first determines whether there are more than 20 application resources downloaded from the 10 application resources. If there are more than 2, the server selects 2 application resources from the 10 application resources that are downloaded more than 20 times, for example, Application Resource 1 and Application Resource 2. The server first determines whether there are more than 18 application resources installed in the 10 application resources. If there is more than one, the server selects one application resource that is installed more than 18 times from the 10 application resources, for example, Application resource 3. The server first determines whether there are hot application resources among the 10 application resources. If there is more than one, the server selects one popular application resource from the 10 application resources, for example, application resource 4. The server recommends the application resource 1, the application resource 2, the application resource 3, and the application resource 4 to the user.

Step 105: The terminal device acquires an application resource recommended by the server, and the terminal device displays an application resource recommended by the server.

In an example, the terminal device displays the application resource recommended by the server, where the terminal device pops up a prompt box on the display interface of the terminal device, where the prompt is displayed in the prompt box. Application icon for the application resource.

In an example, after the terminal device pops up a prompt box on the display interface of the terminal device, the method further includes:

When detecting a click operation for the application icon, the terminal device displays an interface of an application resource corresponding to the application icon, the interface being at least one of the following: a download option, a detail information option, a comment button, and a related option.

For example, it is assumed that the application resources recommended by the server to the terminal device are the application resource 1, the application resource 2, and the application resource 3. After the terminal device receives the application resource 1, the application resource 2, and the application resource 3 recommended by the server, the terminal device displays A prompt box is displayed on the interface, and the application icon 1 of the application resource 1, the application icon 2 of the application resource 2, and the application icon 3 of the application resource 3 are displayed in the prompt box, as shown in FIG. 3 . If the user clicks the application icon 1 displayed in the prompt box for the prompt box shown in FIG. 3, the terminal device displays the interface of the application resource 1, and the interface of the application resource 1 is included in FIG. In the download option of downloading the application resource 1, the detailed information option of the application resource 1, the comment button of the application resource 1, the related option of the application resource 1, and the like.

It can be seen that, in the present application, the recommended application resource is determined based on the historical search record of the user, and the accuracy of the application resource recommended by the user can be improved. In addition, the recommendation policy of the application resource is based on the application for determining the application resource to be recommended. The tag and the terminal device display the application tag of the application resource currently displayed on the interface, which can improve the flexibility of the application resource recommendation. In addition, different recommendation policies recommend different application resources to enable more comprehensive application resources to be pushed to the user. Thereby improving the user experience.

The embodiment of the present application further provides another more detailed method flow, as shown in FIG. 4, including:

Step 401: The server acquires a historical search record of the user.

Step 402: The server determines N application resources according to the historical search record, where N is an integer greater than 1.

Step 403: The server acquires M first application labels of the N application resources, where the M is a positive integer.

Step 404: The server acquires W second application labels of application resources displayed by the current display interface of the user terminal device, where W is a positive integer.

Step 405: The server determines whether the M first application tags have at least one first application tag that matches the W second application tags.

If yes, step 406 is performed.

If no, step 407 is performed.

Step 406: The server determines that the recommended policy for recommending the application resource is a first recommendation policy, where the first recommendation policy is used to recommend the following application resources: an application resource whose download times are greater than or equal to a first threshold, and an application label includes: An application resource of at least one of the at least one first application tag. After performing step 406, steps 408-410 are performed.

Step 407: The server determines that the recommended policy for recommending the N application resources is a second recommendation policy, where the second recommendation policy is used to recommend the following application resources: an application resource whose downloaded times are greater than or equal to the first threshold. Application resources that are installed more than or equal to the second threshold, and popular Application resources. After performing step 407, steps 411 to 414 are performed.

Step 408: The server selects, from the N application resources, K application resources whose download times are greater than or equal to the first threshold.

Step 409: The server selects, from the N application resources, an application label that includes at least one of the at least one first application label.

Step 410: The server recommends the K application resources and the W application resources to the terminal device of the user, where the K and the W are smaller than the N.

Step 411: The server selects, from the N application resources, G application resources whose download times are greater than or equal to the first threshold.

Step 412: The server selects, from the N application resources, H application resources whose installed times are greater than or equal to a second threshold.

Step 413: The server selects T popular application resources from the N application resources.

Step 414: The server recommends the G application resources, the H application resources, and the T popular application resources to the terminal device of the user, where the G, the H, and the T are both smaller than The N.

Step 415: The terminal device acquires an application resource recommended by the server, and the terminal device displays an application resource recommended by the server.

It should be noted that the specific implementation process of each step of the method shown in FIG. 4 can be referred to the specific implementation process described in the foregoing method, and is not described herein.

The above describes the method of the embodiment of the present application in detail, and the apparatus of the embodiment of the present application is provided below.

Referring to FIG. 5, FIG. 5 is a server 500 according to an embodiment of the present application, including: at least one processor, at least one memory, and at least one communication interface; and one or more programs;

The one or more programs are stored in the memory and are configured to be executed by the processor, the program including instructions for performing the following steps:

Get the user's historical search history;

Determining N application resources according to the historical search record, where N is an integer greater than 1;

Determining a recommendation policy according to an application label of the N application resources;

The application resource is recommended to the user according to the determined recommendation policy.

In an example, in determining a recommendation policy based on an application tag of the N application resources, the program includes instructions specifically for performing the following steps:

Obtaining M first application labels of the N application resources, where the M is a positive integer;

Obtaining W second application labels of the application resources displayed by the current display interface of the user terminal, where the W is a positive integer;

When the at least one first application label matches the W second application labels, determining that the recommended policy for recommending the application resource is a first recommendation policy, the first recommendation The policy is used to recommend the following application resources: the application resource whose download times are greater than or equal to the first threshold, and the application label includes the application resource of at least one of the at least one first application label.

In an example, in recommending the application resource to the user in accordance with the determined recommendation policy, the program includes instructions specifically for performing the following steps:

Selecting, from the N application resources, K application resources whose downloaded times are greater than or equal to the first threshold;

Selecting, from the N application resources, an application label that includes at least one of the at least one first application label;

And recommending the K application resources and the W application resources to the user, where the K and the W are both smaller than the N.

In an example, the program includes instructions that are also used to perform the following steps:

When the first application label does not match the W second application labels, the recommendation policy of the N application resources is recommended as the second recommendation policy. The second recommendation policy is used to recommend the following application resources: an application resource whose downloaded times are greater than or equal to the first threshold, an application resource whose installed number is greater than or equal to a second threshold, and a popular application resource.

Selecting, from the N application resources, G application resources whose download times are greater than or equal to the first threshold;

Selecting, from the N application resources, H application resources whose installed times are greater than or equal to a second threshold;

Selecting T popular application resources from the N application resources;

And recommending the G application resources, the H application resources, and the T hot application resources to the user, where the G, the H, and the T are all smaller than the N.

It should be noted that the specific implementation manner of the content described in this embodiment can be referred to the foregoing method, and is not described herein.

Referring to FIG. 6, FIG. 6 is a terminal device 600 according to an embodiment of the present application, including: at least one processor, at least one memory, and at least one communication interface; and one or more programs;

Obtaining an application resource recommended by the server based on the recommended policy, where the application resource is determined by the server based on a historical search record of the user, where the recommendation policy is determined by the server based on the first application label of the application resource;

Demonstrate application resources recommended by the server.

In an example, prior to obtaining an application resource recommended by the server based on the recommended policy, the program includes instructions further for performing the following steps:

Receiving an information acquisition request from the server;

Sending an information response to the server for the information acquisition request, the information response carrying a second application label of the application resource displayed by the current display interface of the terminal device, where the recommendation policy is that the server is based on the first application label and The second application tag is determined.

In an example, the recommendation policy includes a first recommendation policy and a second recommendation policy, where the first recommendation policy is used to recommend the following application resources: an application resource whose download times are greater than or equal to the first threshold, and an application label including the An application resource of at least one of the at least one first application label; the second recommendation policy is used to recommend the following application resource: an application resource whose downloaded times are greater than or equal to the first threshold, and an installed number of times greater than or equal to a second Threshold application resources, as well as popular application resources.

It should be noted that the specific implementation manner of the content described in this embodiment can be referred to the foregoing method. This is no longer described.

The above description mainly introduces the solution of the embodiment of the present application from the perspective of the method side execution process. It can be understood that, in order to implement the above functions, the terminal device includes corresponding hardware structures and/or software modules for executing the respective functions. Those skilled in the art will readily appreciate that the present application can be implemented in a combination of hardware or hardware and computer software in combination with the elements and algorithm steps of the various examples described in the embodiments disclosed herein. Whether a function is implemented in hardware or computer software to drive hardware depends on the specific application and design constraints of the solution. A person skilled in the art can use different methods for each particular application to implement the described functionality, but such implementation should not be considered to be beyond the scope of the application.

The embodiment of the present application may divide the functional unit into the terminal device according to the foregoing method example. For example, each functional unit may be divided according to each function, or two or more functions may be integrated into one processing unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logical function division. In actual implementation, there may be another division manner.

In the case of employing an integrated unit, Fig. 7 shows a block diagram of a possible functional unit composition of the server involved in the above embodiment. The server 700 includes a processing unit 701, a communication unit 702, and a storage unit 703. The processing unit 701 includes an acquisition unit 7011, a determination unit 7012, and a recommendation unit 7013. The storage unit 703 is configured to store program codes and data of the server. The communication unit 702 is used to support communication between the server and other devices. Some of the above units (acquisition unit 7011, determination unit 7012, and recommendation unit 7013) are used to perform the relevant steps of the above method.

The obtaining unit 7011 is configured to acquire a historical search record of the user.

a determining unit 7012, configured to determine, according to the historical search record, N application resources, where N is an integer greater than 1, and determining a recommendation policy according to an application label of the N application resources;

The recommendation unit 7013 is configured to recommend the application resource to the user according to the determined recommendation policy.

In an example, in determining the recommendation policy according to the application label of the N application resources, the determining unit 7012 is specifically configured to:

In an example, the recommending unit 7013 is specifically configured to:

In an example, the determining unit 7012 is further configured to:

Determining, by the first application label, that the first application label does not match the W second application labels, determining that the recommended policy of the N application resources is a second recommendation policy, The second recommendation policy is used to recommend the following application resources: an application resource whose downloaded times are greater than or equal to the first threshold, an application resource whose installed number is greater than or equal to a second threshold, and a popular application resource.

In an example, the recommending unit 7013 is specifically configured to:

Selecting T popular application resources from the N application resources;

The processing unit 701 may be a processor or a controller, and may be, for example, a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), and an application specific integrated circuit (Application- Specific Integrated Circuit (ASIC), Field Programmable Gate Array (FPGA) or other programmable logic device, transistor logic device, hardware component, or any combination thereof, which may be implemented or executed in conjunction with the present disclosure. Various exemplary logical blocks, modules and circuits. The processor may also be a combination of computing functions, for example, including one or more microprocessor combinations, a combination of a DSP and a microprocessor, and the like. The storage unit 703 can be a memory, and the communication unit 702 can be a transceiver, a transceiver circuit, a radio frequency chip, a communication interface, or the like.

In the case of employing an integrated unit, FIG. 8 shows a block diagram of a possible functional unit configuration of the terminal device involved in the above embodiment. The terminal device 800 includes a processing unit 801, a communication unit 802, and a storage unit 803. The processing unit 801 includes an obtaining unit 8011 and a display unit 8012. The storage unit 803 is configured to store program codes and data of the terminal device. The communication unit 802 is used to support communication between the terminal device and other devices. Some of the above units (acquisition unit 8011 and display unit 8012) are used to perform the relevant steps of the above method.

The obtaining unit 8011 is configured to obtain an application resource recommended by the server based on the recommended policy, where the application resource is determined by the server based on a history search record of the user, where the recommendation policy is a first application label of the server based on the application resource. definite;

The display unit 8012 is configured to display application resources recommended by the server.

In an example, before acquiring the application resource recommended by the server based on the recommended policy,

The processing unit 801 is further configured to receive, by the communication unit 802, an information acquisition request from the server, and send, by using the communication unit 802, an information response to the server, where the information response is carried. The terminal device currently displays a second application label of the application resource displayed by the interface, where the recommendation policy is determined by the server based on the first application label and the second application label.

In an example, the recommendation policy includes a first recommendation policy and a second recommendation policy, where the first recommendation policy is used to recommend the following application resources: the application resource whose downloaded times are greater than or equal to the first threshold The source and the application label include an application resource of at least one of the at least one first application label; the second recommendation policy is used to recommend the following application resource: an application resource that is downloaded more than or equal to the first threshold, is installed Application resources whose number of times is greater than or equal to the second threshold, and popular application resources.

The processing unit 801 can be a processor or a controller, and can be, for example, a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), and an application specific integrated circuit (Application- Specific Integrated Circuit (ASIC), Field Programmable Gate Array (FPGA) or other programmable logic device, transistor logic device, hardware component, or any combination thereof, which may be implemented or executed in conjunction with the present disclosure. Various exemplary logical blocks, modules and circuits. The processor may also be a combination of computing functions, for example, including one or more microprocessor combinations, a combination of a DSP and a microprocessor, and the like. The storage unit 803 can be a memory, and the communication unit 802 can be a transceiver, a transceiver circuit, a radio frequency chip, a communication interface, or the like.

The embodiment of the present application further provides a terminal device. As shown in FIG. 9 , for the convenience of description, only parts related to the embodiment of the present application are shown. If the specific technical details are not disclosed, refer to the method part of the embodiment of the present application. . The terminal device is a mobile phone as an example:

FIG. 9 is a block diagram showing a partial structure of a mobile phone related to a terminal device provided by an embodiment of the present application. Referring to FIG. 9 , the mobile phone includes: a radio frequency (RF) circuit 10 , a memory 20 , an input unit 30 , a display unit 40 , a sensor 50 , an audio circuit 60 , a wireless fidelity (WiFi) module 70 , and a processor 80 . And power supply 90 and other components. It will be understood by those skilled in the art that the structure of the handset shown in FIG. 9 does not constitute a limitation to the handset, and may include more or less components than those illustrated, or some components may be combined, or different components may be arranged.

The following describes the components of the mobile phone in detail with reference to FIG. 9:

The RF circuit 10 can be used for receiving and transmitting information. Generally, RF circuit 10 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, RF circuit 10 can also communicate with the network and other devices via wireless communication. The above wireless communication may use any communication standard or protocol, including but not limited to Global System of Mobile communication (GSM), general packet radio service (General Packet Radio Service, GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), e-mail, Short Messaging Service (SMS), etc.

The memory 20 can be used to store software programs and modules, and the processor 80 executes various functional applications and data processing of the mobile phone by running software programs and modules stored in the memory 20. The memory 20 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application required for at least one function, and the like; the storage data area may store data created according to usage of the mobile phone, and the like. Further, the memory 20 may include a high speed random access memory, and may also include a nonvolatile memory such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The input unit 30 can be configured to receive input numeric or character information and to generate key signal inputs related to user settings and function controls of the handset. Specifically, the input unit 30 may include a fingerprint recognition module and other input devices. The fingerprint identification module can collect fingerprint data of the user on it. Other input devices may include, but are not limited to, one or more of a touch screen, a physical keyboard, function keys (such as volume control buttons, switch buttons, etc.), trackballs, mice, joysticks, and the like.

The display unit 40 can be used to display information input by the user or information provided to the user as well as various menus of the mobile phone. The display unit 40 can include a display screen 41. Alternatively, the display screen 41 can be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED), or the like.

The handset may also include at least one type of sensor 50, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display screen 41 according to the brightness of the ambient light, and the proximity sensor may turn off the display screen 41 and/or when the mobile phone moves to the ear. Or backlight. As a kind of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in all directions (usually three axes). When it is stationary, it can detect the magnitude and direction of gravity. It can be used to identify the gesture of the mobile phone (such as horizontal and vertical screen switching, related Game, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tapping), etc. As for the mobile phone can also be configured with gyroscopes, barometers, hygrometers, thermometers, infrared sensors and other sensors, not here Let me repeat.

The audio circuit 60, the speaker 61, and the microphone 62 provide an audio interface between the user and the handset. The audio circuit 60 can transmit the converted electrical data of the received audio data to the speaker 61 for conversion to the sound signal by the speaker 61. On the other hand, the microphone 62 converts the collected sound signal into an electrical signal by the audio circuit 60. After receiving, it is converted into audio data, processed by the audio data playback processor 80, sent to the other mobile phone via the RF circuit 10, or played to the memory 20 for further processing.

WiFi is a short-range wireless transmission technology. The mobile phone can help users to send and receive emails, browse web pages and access streaming media through the WiFi module 70. It provides users with wireless broadband Internet access. Although FIG. 9 shows the WiFi module 70, it can be understood that it does not belong to the essential configuration of the mobile phone, and can be omitted as needed within the scope of not changing the essence of the invention.

The processor 80 is the control center of the handset, which connects various portions of the entire handset using various interfaces and lines, by executing or executing software programs and/or modules stored in the memory 20, and invoking data stored in the memory 20, The phone's various functions and processing data, so that the overall monitoring of the phone. Optionally, the processor 80 may include one or more processing units; preferably, the processor 80 may integrate an application processor and a modem processor, where the application processor mainly processes an operating system, a user interface, an application, and the like. The modem processor primarily handles wireless communications. It will be appreciated that the above described modem processor may also not be integrated into the processor 80.

The handset also includes a power source 90 (such as a battery) that supplies power to the various components. Preferably, the power source can be logically coupled to the processor 80 through a power management system to manage functions such as charging, discharging, and power management through the power management system.

Although not shown, the mobile phone may further include a camera, a Bluetooth module, and the like, and details are not described herein again.

In the foregoing embodiments shown in FIG. 1 and FIG. 4, the process on the terminal device side in each step method may be implemented based on the structure of the mobile phone.

In the foregoing embodiment shown in FIG. 7, each unit function can be implemented based on the structure of the mobile phone.

The embodiment of the present application further provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, the computer program causing the computer to perform some or all of the steps of any of the methods described in the foregoing method embodiments. The computer includes a server.

The embodiment of the present application further provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, the computer program causing the computer to perform some or all of the steps of any of the methods described in the foregoing method embodiments. The computer includes a terminal device.

The embodiment of the present application further provides a computer program product, comprising: a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause a computer to perform the operations as recited in the foregoing method embodiments Part or all of the steps of either method. The computer program product can be a software installation package, the computer including a server.

The embodiment of the present application further provides a computer program product, comprising: a non-transitory computer readable storage medium storing a computer program, the computer program being operative to cause a computer to perform the operations as recited in the foregoing method embodiments Part or all of the steps of either method. The computer program product can be a software installation package, the computer including a terminal device.

The steps of the method or algorithm described in the embodiments of the present application may be implemented in a hardware manner, or may be implemented by a processor executing software instructions. The software instructions may be composed of corresponding software modules, which may be stored in a random access memory (RAM), a flash memory, a read only memory (ROM), an erasable programmable read only memory ( Erasable Programmable ROM (EPROM), electrically erasable programmable read only memory (EEPROM), registers, hard disk, removable hard disk, compact disk read only (CD-ROM) or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor to enable the processor to read information from, and write information to, the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and the storage medium can be located in an ASIC. Additionally, the ASIC can be located in an access network device, a target network device, or a core network device. Of course, the processor and the storage medium may also exist as discrete components in the access network device, the target network device, or the core network device.

Those skilled in the art should appreciate that in one or more of the above examples, the functions described in the embodiments of the present application may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in accordance with embodiments of the present application are generated in whole or in part. Place The computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer readable storage medium or transferred from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions can be from a website site, computer, server or data center Transmission to another website site, computer, server, or data center by wire (eg, coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (eg, infrared, wireless, microwave, etc.). The computer readable storage medium can be any available media that can be accessed by a computer or a data storage device such as a server, data center, or the like that includes one or more available media. The usable medium may be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a digital video disc (DVD)), or a semiconductor medium (for example, a solid state disk (SSD)). )Wait.

The specific embodiments of the present invention have been described in detail with reference to the embodiments, technical solutions and advantages of the embodiments of the present application. It should be understood that the foregoing description is only The scope of the present invention is defined by the scope of the present invention, and any modifications, equivalents, improvements, etc., which are included in the embodiments of the present application, are included in the scope of protection of the embodiments of the present application.

Claims

An application resource recommendation method, comprising:

The server obtains a historical search record of the user;

Determining, by the server, N application resources according to the historical search record, where N is an integer greater than 1;

Determining, by the server, a recommendation policy according to an application label of the N application resources;

The server recommends the application resource to the user according to the determined recommendation policy.
The method according to claim 1, wherein the server determines a recommendation policy according to an application label of the N application resources, including:

Obtaining, by the server, M first application labels of the N application resources, where the M is a positive integer;

Obtaining, by the server, W second application labels of application resources displayed by the current display interface of the user terminal device, where W is a positive integer;

When the at least one first application label of the M first application labels matches the W second application labels, the server determines that the recommended policy for recommending the application resource is a first recommendation policy, The first recommendation policy is used to recommend the following application resources: the application resource whose download times are greater than or equal to the first threshold, and the application label includes the application resource of at least one of the at least one first application label.
The method according to claim 2, wherein the server recommends the application resource to the user according to the determined recommendation policy, including:

The server selects, from the N application resources, K application resources whose download times are greater than or equal to the first threshold;

The server selects, from the N application resources, an application label that includes at least one of the at least one first application label;

The server recommends the K application resources and the W application resources to the user, where the K and the W are both smaller than the N.
The method according to claim 2 or 3, wherein the method further comprises:

When the first application tag does not match the W second application tags, the server determines that the recommended policy of the N application resources is the second recommendation policy. The second recommendation policy is used to recommend the following application resources: an application resource whose downloaded times are greater than or equal to the first threshold, an application resource whose installed number is greater than or equal to a second threshold, and a popular application resource.
The method according to claim 4, wherein the server recommends the application resource to the user according to the determined recommendation policy, including:

The server selects, from the N application resources, G application resources whose download times are greater than or equal to the first threshold;

The server selects, from the N application resources, H application resources whose installed times are greater than or equal to a second threshold;

The server selects T popular application resources from the N application resources;

The server recommends the G application resources, the H application resources, and the T popular application resources to the user, where the G, the H, and the T are both smaller than the N.
An application resource recommendation method, comprising:

The terminal device acquires an application resource recommended by the server based on the recommended policy, where the application resource is determined by the server based on a historical search record of the user, and the recommended policy is determined by the server based on the first application label of the application resource;

The terminal device displays application resources recommended by the server.
The method according to claim 6, wherein the method further includes: before the terminal device acquires an application resource recommended by the server based on the recommended policy, the method further includes:

The terminal device receives an information acquisition request from the server;

The terminal device sends an information response to the server for the information acquisition request, where the information response carries a second application label of the application resource displayed by the current display interface of the terminal device, where the recommendation policy is that the server is based on the An application tag and the second application tag are determined.
The method according to claim 6 or 7, wherein the recommendation policy comprises a first recommendation policy and a second recommendation policy, wherein the first recommendation policy is used to recommend the following application resources: the number of downloads is greater than or equal to the number of times a threshold application resource, an application tag, including the at least one first application An application resource of at least one of the tags; the second recommendation policy is used to recommend the following application resources: an application resource whose downloaded times are greater than or equal to the first threshold, an application resource whose installed number is greater than or equal to a second threshold, and Top app resources.
A server, comprising:

An obtaining unit, configured to acquire a historical search record of the user;

a determining unit, configured to determine, according to the historical search record, N application resources, where N is an integer greater than 1, and determining a recommendation policy according to an application label of the N application resources;

a recommendation unit, configured to recommend the application resource to the user according to the determined recommendation policy.
The server according to claim 9, wherein the determining unit is specifically configured to:

Obtaining M first application labels of the N application resources, where the M is a positive integer;

Obtaining W second application labels of the application resources displayed by the current display interface of the user terminal, where the W is a positive integer;

When the at least one first application label matches the W second application labels, determining that the recommended policy for recommending the application resource is a first recommendation policy, the first recommendation The policy is used to recommend the following application resources: the application resource whose download times are greater than or equal to the first threshold, and the application label includes the application resource of at least one of the at least one first application label.
The server according to claim 10, wherein the recommendation unit is specifically configured to:

Selecting, from the N application resources, K application resources whose downloaded times are greater than or equal to the first threshold;

Selecting, from the N application resources, an application label that includes at least one of the at least one first application label;

And recommending the K application resources and the W application resources to the user, where the K and the W are both smaller than the N.
The server according to claim 10 or 11, wherein the determining unit is further configured to:

When the first application tag does not match the W second application tags, the recommendation policy for recommending the N application resources is the second recommendation policy. The second recommendation policy is used to recommend the following application resources: an application resource whose downloaded times are greater than or equal to the first threshold, an application resource whose installed number is greater than or equal to a second threshold, and a popular application resource.
The server according to claim 12, wherein the recommendation unit is specifically configured to:

Selecting, from the N application resources, G application resources whose download times are greater than or equal to the first threshold;

Selecting, from the N application resources, H application resources whose installed times are greater than or equal to a second threshold;

Selecting T popular application resources from the N application resources;

And recommending the G application resources, the H application resources, and the T hot application resources to the user, where the G, the H, and the T are all smaller than the N.
A terminal device, comprising: a processing unit, the processing unit comprising an obtaining unit and a display unit:

The acquiring unit is configured to obtain an application resource recommended by the server based on the recommended policy, where the application resource is determined by the server based on a historical search record of the user, where the recommendation policy is determined by the server according to the first application label of the application resource. of;

The display unit is configured to display application resources recommended by the server.
The terminal device according to claim 14, wherein the terminal device further comprises a communication unit, wherein:

The processing unit is further configured to receive, by the communication unit, an information acquisition request from the server, and send, by the communication unit 802, an information response to the server, where the information response carries the The terminal device currently displays a second application label of the application resource displayed by the interface, where the recommendation policy is determined by the server based on the first application label and the second application label.
The terminal device according to claim 14 or 15, wherein the recommendation policy comprises a first recommendation policy and a second recommendation policy, wherein the first recommendation policy is used to recommend the following application resources: the number of times of downloading is greater than or equal to The first threshold of the application resource, the application tag includes the at least one An application resource of at least one of the first application tags; the second recommendation policy is used to recommend the following application resources: an application resource whose downloaded times are greater than or equal to the first threshold, and an application whose installed number is greater than or equal to a second threshold Resources, as well as popular app resources.
A server, comprising: one or more processors, one or more memories, one or more transceivers, and one or more programs, the one or more programs being stored in the memory And configured to be executed by the one or more processors, the program comprising instructions for performing the steps in the method of any of claims 1-5.
A terminal device, comprising: one or more processors, one or more memories, one or more transceivers, and one or more programs, the one or more programs being stored in the memory And configured to be executed by the one or more processors, the program comprising instructions for performing the steps in the method of any of claims 6-8.
A computer readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method of any of claims 1-5.
A computer readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method of any one of claims 6-8.