CN110771121A

CN110771121A - Application resource recommendation method and related equipment

Info

Publication number: CN110771121A
Application number: CN201780092278.8A
Authority: CN
Inventors: 罗月
Original assignee: Shenzhen Huantai Technology Co Ltd
Current assignee: Shenzhen Huantai Technology Co Ltd
Priority date: 2017-08-31
Filing date: 2017-08-31
Publication date: 2020-02-07
Also published as: WO2019041280A1

Abstract

An application resource recommendation method includes: the server acquires a historical search record (101) of a user; the server determines N application resources according to the historical search records, wherein N is an integer greater than 1 (102); the server determines a recommendation strategy (103) according to the application labels of the N application resources; the server recommends the application resource to the user according to the determined recommendation policy (104). Related equipment is further provided, and 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

Nowadays, terminal devices (such as smart phones) are indispensable tools in daily life of people, and Application resource software (APP) with various functions are produced, so that great convenience is brought to people. It is common practice to install APPs on terminal devices by downloading application resources at a software store and then installing them. In order to bring better experience to people, the software store can recommend application resources to users during the use process. At present, the application resource recommendation method includes recommending the application resource with the largest downloading frequency to a user, recommending the application resource with a relatively short updating time to the user, or recommending the application resource with a relatively high score to the user.

Disclosure of Invention

The embodiment of the application resource recommendation method and the related equipment are provided, so that the application resources are recommended to the user based on the search records of the user, and the resource recommendation accuracy is improved.

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

the server acquires a historical search record of a user;

the server determines N application resources according to the historical search records, wherein N is an integer greater than 1;

the server determines a recommendation strategy according to the application labels of the N application resources;

and the server recommends the application resource to the user according to the determined recommendation strategy.

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

the method comprises the steps that terminal equipment obtains application resources recommended by a server based on a recommendation strategy, the application resources are determined by the server based on historical search records of a user, and the recommendation strategy is determined by the server based on a first application label of the application resources;

and the terminal equipment displays the application resources recommended by the server.

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

the acquisition unit is used for acquiring a historical search record of a user;

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

and the recommending unit is used for recommending the application resource to the user according to the determined recommending strategy.

In a fourth aspect, an embodiment of the present application provides a terminal device, which includes a processing unit, where the processing unit includes an obtaining unit and a displaying unit:

the acquisition unit is used for acquiring application resources recommended by a server based on a recommendation strategy, the application resources are determined by the server based on a historical search record of a user, and the recommendation strategy is determined by the server based on a first application label of the application resources;

the display unit is used for displaying the application resources recommended by the server.

In a fifth aspect, embodiments of the present application provide a server comprising one or more processors, one or more memories, one or more transceivers, and one or more programs stored in the memories and configured to be executed by the one or more processors, the programs comprising instructions for performing the steps in the method according to the first aspect.

In a sixth aspect, embodiments of the present application provide a terminal device, comprising one or more processors, one or more memories, one or more transceivers, and one or more programs stored in the memories and configured to be executed by the one or more processors, the programs including instructions for performing the steps of the method according to 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 execute the method according to the first aspect.

In an eighth aspect, embodiments of the present application provide a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the method according to the second aspect.

In a ninth aspect, embodiments of the present application provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform the method of 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 operable to cause a computer to perform the method according to the first aspect.

For several recommendation methods described in the background art, recommended application resources are the same for different users, and the recommended application resources may not be applications required by the users, which reduces the accuracy of resource recommendation. In the application, the recommended application resources are determined based on the historical search records of the user, the accuracy of the application resources recommended to the user can be improved, in addition, the recommendation strategy of the application resources is determined based on the application tags of the application resources to be recommended, and the flexibility of application resource recommendation can be improved.

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 description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

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

FIG. 2 is a schematic diagram of an interface provided by an embodiment of the present invention;

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

FIG. 4 is a flowchart illustrating 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 invention;

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

fig. 7 is a schematic structural diagram of another server provided in the embodiment of the present invention;

fig. 8 is a schematic structural diagram of another terminal device provided in the embodiment of the present invention;

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

Detailed Description

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The following are detailed below.

The terms "first," "second," "third," and "fourth," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art 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, e.g., a handheld device, a vehicle mounted device, etc., with wireless connectivity. Common terminal devices include, for example: the mobile phone includes a mobile phone, a tablet computer, a notebook computer, a palm computer, a Mobile Internet Device (MID), and a wearable device such as a smart watch, a smart bracelet, a pedometer, and the like.

A server provides computing services. 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 application, where the method includes:

step 101: the server acquires the historical search records of the user.

Specifically, the specific implementation of step 101 is as follows: the server obtains a historical search record of the user in a first period, wherein the first period comprises the current system time. For example, if the current system time is 15:00 and the first time interval is 14: 50-15: 10, the server obtains the historical search records of the user in the server within 14: 50-15: 10. The specific implementation of step 101 is as follows: and the server acquires the historical search record of the user in a second time period, wherein the termination time node of the second time period is the current system time. For example, if the current system time is 15:00 and the first time interval is 14: 40-15: 00, the server obtains the historical search records of the user in the server within 14: 40-15: 00.

Step 102: and the server determines N application resources according to the historical search records, wherein N is an integer greater than 1.

In one example, the historical search records include records of search terms, and the specific implementation of step 102 is: the server counts the search times of the search terms according to the historical search records to obtain the search times of X search terms; the server selects X search terms with the search times larger than or equal to a third threshold value from the X search terms, wherein X is an integer larger 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 is 10, X is 5, and N is 2, and it is assumed that the server statistically obtains the 5 search terms according to the historical search records: instant messaging, games, video playing, audio playing and shopping, wherein the searching times of the 5 searching words comprise 15 searching times of instant messaging, 20 searching times of games, 8 searching times of video playing, 7 searching times of audio playing and 5 searching times of shopping. Then x search terms are instant messaging and gaming and the server determines 2 application resources to manage with instant messaging and gaming.

In one example, the specific implementation of the server determining N application resources associated with the x search terms is: the server determines the application resource quantity corresponding to each search word in the x search words according to the mapping relation between the search times and the application resource quantity; and the server determines the application resources associated with each search term according to the number of the application resources corresponding to each search term to obtain N application resources.

Further, the x search terms include a search term i and a search term j, and when the number of search times of the search term i is greater than the number of search times 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. Assuming that x search terms are instant messaging and games, the number of search times of instant messaging is 15, the number of search times of games is 20, and the number of application resources corresponding to instant messaging is 7 and the number of application resources corresponding to games is 10 according to table 1, the server finally determines 7 application resources associated with instant messaging and 10 application resources associated with games.

TABLE 1

Step 103: and the server determines a recommendation strategy according to the application labels of the N application resources.

The application label refers to type indication information of an application resource, and examples of the type indication information include "instant messaging", "social chat", "dating", "making friends with each other", "game", "cool and dazzling 3D", "athletics king", "online game", and the like, which are not limited herein.

In one example, the specific implementation of step 103 is as follows: the server acquires M first application tags of the N application resources, wherein M is a positive integer; the server acquires W second application tags of the application resources displayed on the current display interface of the terminal equipment of the user, wherein W is a positive integer; when at least one first application tag exists in the M first application tags and the W second application tags are matched, the server determines that a recommendation strategy for recommending the application resources is a first recommendation strategy, and the first recommendation strategy is used for recommending the following application resources: the application resource and the application label which are downloaded for a time greater than or equal to a first threshold value comprise the application resource of at least one of the at least one first application label.

In an example, the specific implementation manner of the server obtaining W second application tags of the application resources displayed on the current display interface of the terminal device of the user includes: the server sends an information acquisition request to the terminal equipment, wherein the information acquisition request is used for indicating to acquire an application label of an application resource displayed on a current display interface of the terminal equipment; the terminal equipment receives an information acquisition request from the server; the terminal equipment acquires W second application tags of the application resources displayed on the current display interface of the terminal equipment, and sends an information response to the server aiming at the information acquisition request, wherein the information response carries the W second application tags of the application resources displayed on the current display interface of the terminal equipment.

In one example, the specific implementation of step 103 is as follows: when any one first application tag does not exist in the M first application tags and the W second application tags are matched, the server determines that the recommendation strategy for recommending the N application resources is a second recommendation strategy, and the second recommendation strategy is used for recommending the following application resources: the application resources with the downloaded times larger than or equal to the first threshold, the application resources with the installed times larger than or equal to the second threshold, and the hot 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, assuming that N is 10, the server determines the 10 application resources as: an application resource 1, an application resource 2, and an application resource 3. Fig. 2 shows application resources displayed on the current display interface of the terminal device, and as shown in fig. 2, it can be known that the application resources displayed on the current display interface of the terminal device include: as an application resource 11, an application resource 12, and an application resource 13. If there are 2 first application tags in the 30 first application tags that match the 20 second application tags (e.g., the first application tag 1 matches the second application tag 1, and the first application tag 2 matches the second application tag 2), the server determines that the recommendation policy is the first recommendation policy. The server determines the recommendation policy to be the second recommendation policy if there is no one of the 30 first application tags that matches the 20 second application tags.

And the matching of 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, if the first application tag is "social chat," if the first application tag matches the second application tag, then the second application tag is also "social chat.

The first recommendation policy is used for recommending application resources of which the application tags include at least one of the at least one first application tag, for example, assuming that the at least one first application tag is a first application tag 1 and a second application tag 1, the first recommendation policy is used for recommending application resources of which the application tags include the first application tag 1, the first application tag 2 or the first application tag 1 and the first application tag 2.

The application resource with the downloaded times larger than or equal to the first threshold refers to the application resource with the accumulated downloaded times larger than or equal to the first threshold after the application resource is on line. The application resource whose number of times of installation is greater than or equal to the second threshold refers to an application resource whose number of times of installation is greater than or equal to the second threshold in accumulation after the application resource is brought online. A hot application resource refers to an application resource that has been recently downloaded more times and/or installed more times.

Step 104: and the server recommends the application resource to the terminal equipment of the user according to the determined recommendation strategy.

In an example, when the server determines that the recommended policy is the first recommended policy, the specific implementation manner of step 104 is: the server selects K application resources with the downloading times larger than or equal to the first threshold value from the N application resources; the server selects W application resources with application labels including at least one of the at least one first application label from the N application resources; and the server recommends the K application resources and the W application resources to the user, wherein K and W are both smaller than N.

For example, assuming that N is 10, K is 2, and W is 2, the server determines that there are 10 application resources: application resource 1, application resource 2, application resource 3. The server firstly determines whether there are application resources with the downloading times larger than 20 times in the 10 application resources, and if there are more than 2 application resources, the server selects 2 application resources with the downloading times larger than 20 times from the 10 application resources, such as application resource 1 and application resource 2. Assuming that the at least one first application tag is a first application tag 1 and a first application tag 2, the server first determines whether any application tag in the 10 application resources includes the first application tag 1, the first application tag 2 or the application resources of the first application tag 1 and the first application tag 2, and if any application tag in the 10 application resources includes an application resource 3 of the first application tag 1 and an application resource 2 of the first application tag 2. The server recommends application resource 1, application resource 2 and 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 manner of step 104 is: the server selects G application resources with the downloading times larger than or equal to the first threshold value from the N application resources; the server selects H application resources with the installation times larger than or equal to a second threshold value from the N application resources; the server selects T hot application resources from the N application resources; and the server recommends the G application resources, the H application resources and the T popular application resources to the user, wherein G, H and T are all smaller than N.

For example, N is 10, the first threshold is 20, the second threshold is 18, G is 2, and H is 1, and the server determines the 10 application resources as: application resource 1, application resource 2, application resource 3. The server firstly determines whether there are application resources with the downloading times larger than 20 times in the 10 application resources, and if there are more than 2 application resources, the server selects 2 application resources with the downloading times larger than 20 times from the 10 application resources, such as application resource 1 and application resource 2. The server firstly determines whether there is an application resource with the installation times larger than 18 in the 10 application resources, and if there is more than 1, the server selects 1 application resource with the installation times larger than 18 from the 10 application resources, such as application resource 3. The server firstly determines whether hot application resources exist in the 10 application resources, and if the number of the hot application resources exceeds 1, the server selects 1 hot application resource from the 10 application resources, such as application resource 4. The server recommends application resource 1, application resource 2, application resource 3, and application resource 4 to the user.

Step 105: the terminal equipment acquires application resources recommended by a server; and the terminal equipment displays the application resources recommended by the server.

In an example, the specific implementation manner of the terminal device displaying the application resource recommended by the server includes: and the terminal equipment pops up a prompt box on a display interface of the terminal equipment, and an application icon of the application resource recommended by the server is displayed in the prompt box.

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

when the clicking operation aiming at the application icon is detected, the terminal equipment displays an interface of the application resource corresponding to the application icon, wherein the interface is at least one of the following: download options, detail information options, comment buttons, related options.

For example, suppose that the application resources recommended by the server to the terminal device are application resource 1, application resource 2, and application resource 3, after the terminal device receives the application resource 1, application resource 2, and application resource 3 recommended by the server, the terminal device pops up a prompt box on the display 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 specifically. If the user clicks the application icon 1 displayed in the prompt box with respect to the prompt box shown in fig. 3, the terminal device displays an interface of the application resource 1, where the interface of the application resource 1 shown in fig. 3 includes a download option for downloading the application resource 1, a detailed information option of the application resource 1, a comment button of the application resource 1, a related option of the application resource 1, and the like.

Therefore, in the application, the recommended application resources are determined based on the historical search records of the user, the accuracy of the application resources recommended to the user can be improved, in addition, the recommendation strategy of the application resources is determined based on the application label of the application resource to be recommended and the application label of the application resource currently displayed on the display interface of the terminal equipment, the flexibility of recommending the application resources can be improved, in addition, different recommendation strategies recommend different application resources, so that more comprehensive application resources are pushed to the user, and the user experience is improved.

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

step 401: the server acquires the historical search records of the user.

Step 402: and the server determines N application resources according to the historical search records, wherein N is an integer greater than 1.

Step 403: the server acquires M first application tags of the N application resources, wherein M is a positive integer.

Step 404: and the server acquires W second application tags of the application resources displayed on the current display interface of the terminal equipment of the user, wherein W is a positive integer.

Step 405: the server determines whether there is at least one first application tag matching the W second application tags for the M first application tags.

If yes, go to step 406.

If not, go to step 407.

Step 406: the server determines that a recommendation strategy for recommending the application resource is a first recommendation strategy, and the first recommendation strategy is used for recommending the following application resources: the application resource and the application label which are downloaded for a time greater than or equal to a first threshold value comprise the application resource of at least one of the at least one first application label. Execution completes step 406 and executes steps 408-410.

Step 407: the server determines that the recommendation strategy for recommending the N application resources is a second recommendation strategy, and the second recommendation strategy is used for recommending the following application resources: the application resources with the downloaded times larger than or equal to the first threshold, the application resources with the installed times larger than or equal to the second threshold, and the hot application resources. After step 407, step 411-step 414 are executed.

Step 408: and the server selects K application resources with the downloading times larger than or equal to the first threshold from the N application resources.

Step 409: the server selects W application resources from the N application resources, wherein the application tags comprise at least one of the at least one first application tag.

Step 410: and the server recommends the K application resources and the W application resources to the terminal equipment of the user, wherein K and W are both smaller than N.

Step 411: and the server selects G application resources with the downloading times larger than or equal to the first threshold from the N application resources.

Step 412: and the server selects H application resources with the installation times larger than or equal to a second threshold value from the N application resources.

Step 413: and the server selects T hot application resources from the N application resources.

Step 414: and the server recommends the G application resources, the H application resources and the T hot application resources to the terminal equipment of the user, wherein G, H and T are all smaller than N.

Step 415: the terminal equipment acquires the application resources recommended by the server; and the terminal equipment displays the application resources recommended by the server.

It should be noted that, the specific implementation of the steps of the method shown in fig. 4 can refer to the specific implementation described in the above method, and will not be described here.

The method of the embodiments of the present application is set forth above in detail and the apparatus of the embodiments 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 configured to be executed by the processor, the programs including instructions for performing the steps of:

acquiring a historical search record of a user;

determining N application resources according to the historical search records, wherein N is an integer greater than 1;

determining a recommendation strategy according to the application labels of the N application resources;

and recommending the application resources to the user according to the determined recommendation strategy.

In one example, in determining a recommendation policy based on the application tags of the N application resources, the program includes instructions specifically for:

obtaining M first application tags of the N application resources, wherein M is a positive integer;

acquiring W second application tags of the application resources displayed on the current display interface of the terminal equipment of the user, wherein W is a positive integer;

when at least one first application tag exists in the M first application tags and the W second application tags are matched, determining that a recommendation strategy for recommending the application resources is a first recommendation strategy, wherein the first recommendation strategy is used for recommending the following application resources: the application resource and the application label which are downloaded for a time greater than or equal to a first threshold value comprise the application resource of at least one of the at least one first application label.

In one example, in recommending the application resource to the user according to the determined recommendation policy, the program includes instructions specifically for:

selecting K application resources with the downloading times larger than or equal to the first threshold value from the N application resources;

selecting W application resources from the N application resources, wherein the application tags comprise at least one of the at least one first application tag;

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

In an example, the program includes instructions for further performing the steps of:

when any one first application tag does not exist in the M first application tags and the W second application tags are matched, recommending the recommendation strategy of the N application resources as a second recommendation strategy, wherein the second recommendation strategy is used for recommending the following application resources: the application resources with the downloaded times larger than or equal to the first threshold, the application resources with the installed times larger than or equal to the second threshold, and the hot application resources.

selecting G application resources with the downloading times larger than or equal to the first threshold value from the N application resources;

h application resources with the installation times larger than or equal to a second threshold value are selected from the N application resources;

selecting T hot application resources from the N application resources;

recommending the G application resources, the H application resources and the T popular application resources to the user, wherein G, H and T are all smaller than N.

It should be noted that, the specific implementation manner of the content described in this embodiment may refer to the above method, and will not be described here.

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;

acquiring application resources recommended by a server based on a recommendation strategy, wherein the application resources are determined by the server based on a historical search record of a user, and the recommendation strategy is determined by the server based on a first application label of the application resources;

and displaying the application resources recommended by the server.

In an example, before obtaining the application resources recommended by the server based on the recommendation policy, the program includes instructions for further performing the steps of:

receiving an information acquisition request from the server;

and sending an information response to the server aiming at the information acquisition request, wherein the information response carries a second application label of the application resource displayed on the current display interface of the terminal equipment, and the recommendation strategy 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, the first recommendation policy is for recommending the following application resources: the application resources with the downloaded times larger than or equal to a first threshold value and the application labels comprise at least one application resource in the at least one first application label; the second recommendation policy is for recommending the following application resources: the application resources with the downloaded times larger than or equal to the first threshold, the application resources with the installed times larger than or equal to the second threshold, and the hot application resources.

The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that the terminal device includes hardware structures and/or software modules for performing the respective functions in order to implement the functions. Those of skill in the art would readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

In the embodiment of the present application, the terminal device may be divided into the functional units according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a 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 logic function division, and there may be another division manner in actual implementation.

In the case of integrated units, fig. 7 shows a block diagram of one possible functional unit composition of the server involved in the above-described embodiment. The server 700 includes: processing unit 701, communication unit 702 and storage unit 703, and processing unit 701 includes obtaining unit 7011, determining unit 7012 and recommending unit 7013. The storage unit 703 is used 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 units (obtaining unit 7011, determining unit 7012 and recommending unit 7013) are configured to perform the relevant steps of the method.

The acquiring unit 7011 is configured to acquire a historical search record of the user;

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

a recommending unit 7013, 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 tags of the N application resources, the determining unit 7012 is specifically configured to:

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

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

when any one first application tag does not exist in the M first application tags and the W second application tags are matched, determining that the recommendation strategy for recommending the N application resources is a second recommendation strategy, wherein the second recommendation strategy is used for recommending the following application resources: the application resources with the downloaded times larger than or equal to the first threshold, the application resources with the installed times larger than or equal to the second threshold, and the hot application resources.

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

selecting T hot application resources from the N application resources;

The Processing Unit 701 may be a Processor or a controller (e.g., a Central Processing Unit (CPU), a general purpose Processor, a Digital Signal Processor (DSP), an Application-Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof). The storage unit 703 may be a memory, and the communication unit 702 may be a transceiver, a transceiver circuit, a radio frequency chip, a communication interface, or the like.

In case of integrated units, fig. 8 shows a block diagram of a possible functional unit composition of the terminal device involved in the above embodiments. The terminal apparatus 800 includes: a processing unit 801, a communication unit 802 and a storage unit 803, the processing unit 801 comprising a capturing unit 8011 and a presenting unit 8012. The storage unit 803 is used to store program codes and data of the terminal apparatus. The communication unit 802 is used to support communication between the terminal device and other devices. Some of the units described above (retrieving unit 8011 and presenting unit 8012) are used for performing the relevant steps of the method described above.

The acquiring unit 8011 is configured to acquire an application resource recommended by a server based on a recommendation policy, where the application resource is determined by the server based on a historical search record of a user, and the recommendation policy is determined by the server based on a first application tag of the application resource;

a displaying unit 8012, configured to display the application resource recommended by the server.

In one example, prior to obtaining the application resources recommended by the server based on the recommendation policy,

the processing unit 801 is further configured to receive an information acquisition request from the server through the communication unit 802; sending an information response to the server through the communication unit 802 for the information acquisition request, where the information response carries a second application tag of the application resource displayed on the current display interface of the terminal device, and the recommendation policy is determined by the server based on the first application tag and the second application tag.

The Processing Unit 801 may be a Processor or a controller (e.g., a Central Processing Unit (CPU), a general purpose Processor, a Digital Signal Processor (DSP), an Application-Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, transistor logic device, hardware component, or any combination thereof). The storage unit 803 may be a memory, and the communication unit 802 may be a transceiver, a transceiver circuit, a radio frequency chip, a communication interface, or the like.

As shown in fig. 9, for convenience of description, only the portions related to the embodiments of the present application are shown, and details of the specific technology are not disclosed, please refer to the method portion of the embodiments of the present application. The terminal device is a mobile phone as an example:

fig. 9 is a block diagram illustrating a partial structure of a mobile phone related to a terminal device provided in an embodiment of the present application. Referring to fig. 9, the handset 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, a processor 80, and a power supply 90. Those skilled in the art will appreciate that the handset configuration shown in fig. 9 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The following describes each component of the mobile phone in detail with reference to fig. 9:

the RF circuit 10 may be used for the reception and transmission of information. In general, the 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, the RF circuit 10 may also communicate with networks and other devices via wireless communications. The wireless communication may use any communication standard or protocol, including but not limited to Global System for Mobile communication (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Messaging Service (SMS), and the like.

The memory 20 may be used to store software programs and modules, and the processor 80 executes various functional applications and data processing of the mobile phone by operating the 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 program required for at least one function, and the like; the storage data area may store data created according to the use of the mobile phone, and the like. Further, the memory 20 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The input unit 30 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the cellular phone. Specifically, the input unit 30 may include a fingerprint recognition module and other input devices. Fingerprint identification module can gather the fingerprint data of user above that. Other input devices may include, but are not limited to, one or more of a touch screen, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.

The display unit 40 may be used to display information input by the user or information provided to the user and various menus of the mobile phone. The Display unit 40 may include a Display screen 41, and optionally, the Display screen 41 may 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 sensor 50, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor that adjusts the brightness of the display 41 according to the brightness of ambient light, and a proximity sensor that turns off the display 41 and/or the backlight when the mobile phone is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

Audio circuitry 60, speaker 61, microphone 62 may provide an audio interface between the user and the handset. The audio circuit 60 can transmit the electrical signal converted from the received audio data to the speaker 61, and the electrical signal is converted into a sound signal by the speaker 61 for playing; on the other hand, the microphone 62 converts the collected sound signal into an electrical signal, which is received by the audio circuit 60 and converted into audio data, which is then processed by the audio data playing processor 80 and then transmitted to, for example, another cellular phone via the RF circuit 10, or played to the memory 20 for further processing.

WiFi belongs to short distance wireless transmission technology, and the mobile phone can help the user to send and receive e-mail, browse web pages, access streaming media, etc. through WiFi module 70, which provides wireless broadband internet access for the user. Although fig. 9 shows the WiFi module 70, it is understood that it does not belong to the essential constitution of the handset, and may be omitted entirely as needed within the scope not changing the essence of the invention.

The processor 80 is a control center of the mobile phone, connects various parts of the entire mobile phone by using various interfaces and lines, and performs various functions of the mobile phone and processes data by operating or executing software programs and/or modules stored in the memory 20 and calling data stored in the memory 20, thereby performing overall monitoring of the mobile phone. Alternatively, processor 80 may include one or more processing units; preferably, the processor 80 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 80.

The handset also includes a power supply 90 (e.g., a battery) for powering the various components, which may preferably be logically connected to the processor 80 via a power management system, so that the power management system may be used to manage charging, discharging, and power consumption.

Although not shown, the mobile phone may further include a camera, a bluetooth module, etc., which are not described herein.

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

In the embodiment shown in fig. 7, the functions of the units can be implemented based on the structure of the mobile phone.

Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, the computer program enables a computer to execute part or all of the steps of any one of the methods as described in the above method embodiments, and the computer includes a server.

Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes a terminal device.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as set out in the above method embodiments. The computer program product may be a software installation package, said computer comprising a server.

Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as set out in the above method embodiments. The computer program product may be a software installation package, said computer comprising terminal equipment.

The steps of a method or algorithm described in the embodiments of the present application may be implemented in hardware, or may be implemented by a processor executing software instructions. The software instructions may be comprised of corresponding software modules that may be stored in Random Access Memory (RAM), flash Memory, Read Only Memory (ROM), Erasable Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), registers, a hard disk, a removable disk, a compact disc Read Only Memory (CD-ROM), or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an ASIC. Additionally, the ASIC may reside in an access network device, a target network device, or a core network device. Of course, the processor and the storage medium may reside as discrete components in an access network device, a target network device, or a core network device.

Those skilled in the art will appreciate that in one or more of the examples described above, the functionality 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, 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 loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., Digital Video Disk (DVD)), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the embodiments of the present application in further detail, and it should be understood that the above-mentioned embodiments are only specific embodiments of the present application, and are not intended to limit the scope of the embodiments of the present application, and any modifications, equivalent substitutions, improvements and the like made on the basis of the technical solutions of the embodiments of the present application should be included in the scope of the embodiments of the present application.

Claims

An application resource recommendation method is characterized by comprising the following steps:

the server acquires a historical search record of a user;

the server determines N application resources according to the historical search records, wherein N is an integer greater than 1;

the server determines a recommendation strategy according to the application labels of the N application resources;

and the server recommends the application resource to the user according to the determined recommendation strategy.
The method of claim 1, wherein the server determines the recommendation policy according to the application tags of the N application resources, comprising:

the server acquires M first application tags of the N application resources, wherein M is a positive integer;

the server acquires W second application tags of the application resources displayed on the current display interface of the terminal equipment of the user, wherein W is a positive integer;

when at least one first application tag exists in the M first application tags and the W second application tags are matched, the server determines that a recommendation strategy for recommending the application resources is a first recommendation strategy, and the first recommendation strategy is used for recommending the following application resources: the application resource and the application label which are downloaded for a time greater than or equal to a first threshold value comprise the application resource of at least one of the at least one first application label.
The method of claim 2, wherein the server recommends the application resource to the user according to the determined recommendation policy, comprising:

the server selects K application resources with the downloading times larger than or equal to the first threshold value from the N application resources;

the server selects W application resources with application labels including at least one of the at least one first application label from the N application resources;

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

when any one first application tag does not exist in the M first application tags and the W second application tags are matched, the server determines that the recommendation strategy for recommending the N application resources is a second recommendation strategy, and the second recommendation strategy is used for recommending the following application resources: the application resources with the downloaded times larger than or equal to the first threshold, the application resources with the installed times larger than or equal to the second threshold, and the hot application resources.
The method of claim 4, wherein the recommending, by the server, the application resource to the user according to the determined recommendation policy comprises:

the server selects G application resources with the downloading times larger than or equal to the first threshold value from the N application resources;

the server selects H application resources with the installation times larger than or equal to a second threshold value from the N application resources;

the server selects T hot application resources from the N application resources;

and the server recommends the G application resources, the H application resources and the T popular application resources to the user, wherein G, H and T are all smaller than N.
An application resource recommendation method is characterized by comprising the following steps:

the method comprises the steps that terminal equipment obtains application resources recommended by a server based on a recommendation strategy, the application resources are determined by the server based on historical search records of a user, and the recommendation strategy is determined by the server based on a first application label of the application resources;

and the terminal equipment displays the application resources recommended by the server.
The method of claim 6, wherein before the terminal device acquires the application resource recommended by the server based on the recommendation policy, the method further comprises:

the terminal equipment receives an information acquisition request from the server;

the terminal equipment sends an information response to the server aiming at the information acquisition request, the information response carries a second application label of the application resource displayed on the current display interface of the terminal equipment, and the recommendation strategy is determined by the server based on the first application label and the second application label.
The method of claim 6 or 7, wherein the recommendation policy comprises a first recommendation policy and a second recommendation policy, and wherein the first recommendation policy is used for recommending the following application resources: the application resources with the downloaded times larger than or equal to a first threshold value and the application labels comprise at least one application resource in the at least one first application label; the second recommendation policy is for recommending the following application resources: the application resources with the downloaded times larger than or equal to the first threshold, the application resources with the installed times larger than or equal to the second threshold, and the hot application resources.
A server, comprising:

the acquisition unit is used for acquiring a historical search record of a user;

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

and the recommending unit is used for recommending the application resource to the user according to the determined recommending strategy.
The server according to claim 9, wherein the determining unit is specifically configured to:

obtaining M first application tags of the N application resources, wherein M is a positive integer;

acquiring W second application tags of the application resources displayed on the current display interface of the terminal equipment of the user, wherein W is a positive integer;

when at least one first application tag exists in the M first application tags and the W second application tags are matched, determining that a recommendation strategy for recommending the application resources is a first recommendation strategy, wherein the first recommendation strategy is used for recommending the following application resources: the application resource and the application label which are downloaded for a time greater than or equal to a first threshold value comprise the application resource of at least one of the at least one first application label.
The server according to claim 10, wherein the recommending unit is specifically configured to:

selecting K application resources with the downloading times larger than or equal to the first threshold value from the N application resources;

selecting W application resources from the N application resources, wherein the application tags comprise at least one of the at least one first application tag;

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

when any one first application tag does not exist in the M first application tags and the W second application tags are matched, determining that the recommendation strategy for recommending the N application resources is a second recommendation strategy, wherein the second recommendation strategy is used for recommending the following application resources: the application resources with the downloaded times larger than or equal to the first threshold, the application resources with the installed times larger than or equal to the second threshold, and the hot application resources.
The server according to claim 12, wherein the recommending unit is specifically configured to:

selecting G application resources with the downloading times larger than or equal to the first threshold value from the N application resources;

h application resources with the installation times larger than or equal to a second threshold value are selected from the N application resources;

selecting T hot application resources from the N application resources;

recommending the G application resources, the H application resources and the T popular application resources to the user, wherein G, H and T are all smaller than N.
The terminal equipment is characterized by comprising a processing unit, wherein the processing unit comprises an acquisition unit and a display unit:

the acquisition unit is used for acquiring application resources recommended by a server based on a recommendation strategy, the application resources are determined by the server based on a historical search record of a user, and the recommendation strategy is determined by the server based on a first application label of the application resources;

the display unit is used for displaying the 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 used for receiving an information acquisition request from the server through the communication unit; sending an information response to the server through the communication unit 802 for the information acquisition request, where the information response carries a second application tag of the application resource displayed on the current display interface of the terminal device, and the recommendation policy is determined by the server based on the first application tag and the second application tag.
The terminal device according to claim 14 or 15, wherein the recommendation policy includes a first recommendation policy and a second recommendation policy, the first recommendation policy is used for recommending the following application resources: the application resources with the downloaded times larger than or equal to a first threshold value and the application labels comprise at least one application resource in the at least one first application label; the second recommendation policy is for recommending the following application resources: the application resources with the downloaded times larger than or equal to the first threshold, the application resources with the installed times larger than or equal to the second threshold, and the hot application resources.
A server, comprising one or more processors, one or more memories, one or more transceivers, and one or more programs stored in the memories and configured to be executed by the one or more processors, the programs 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 stored in the memories and configured to be executed by the one or more processors, the programs comprising instructions for performing the steps in the method of any of claims 6-8.
A computer-readable storage medium, characterized in that it stores a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method according to any one of claims 1-5.
A computer-readable storage medium, characterized in that it stores a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method according to any one of claims 6-8.