CN106066865B

CN106066865B - Application recommendation device and method

Info

Publication number: CN106066865B
Application number: CN201610363106.7A
Authority: CN
Inventors: 张翘
Original assignee: Shenzhen Treasure City Technology Co ltd
Current assignee: Shanghai Ruitai Digital Technology Co ltd
Priority date: 2016-05-26
Filing date: 2016-05-26
Publication date: 2020-02-18
Anticipated expiration: 2036-05-26
Also published as: CN106066865A

Abstract

The invention discloses an application recommendation device, which comprises: the instruction module is used for receiving an application recommendation instruction; the information module is used for acquiring recommended statistical information of each recommended application software according to the recommended application information of each application market in a pre-configured database based on the application recommendation instruction; and the recommendation module is used for generating a recommended application list according to the recommendation statistical information of each application software and displaying the recommended application list on a display interface. The invention also discloses an application recommendation method. The invention realizes the comprehensive and real statistical information recommended by each application market of the application software, shows the real recommendation condition of the recommended application software to the user, avoids the user from downloading unsafe or non-self-downloading applications due to the business factors of the application market, and improves the user experience and the safety of the mobile phone.

Description

Application recommendation device and method

Technical Field

The present invention relates to the field of communications technologies, and in particular, to an application recommendation apparatus and method.

Background

At present, mobile terminals such as mobile phones and the like have become important tools in daily life and work of people, and each user can install application software such as shopping software and social software in the mobile phone according to the requirements of the user.

The application market has become a main platform for users to download application software due to complete application software resources. When the user uses the application markets, the application markets recommend common application software or hot application software to the user for downloading. And the application market is in interest, the user may be intentionally recommended some cold software cheating download amount, and the recommended cold software may damage the benefit of the user due to the unfairness of the program developer.

Therefore, when the user downloads the recommended application software, it is unclear whether the current application software is the popular application software recommended by each large common application market, and the information obtained by the user is one-sided and may even be false.

Disclosure of Invention

The invention mainly aims to provide an application recommendation device and method, and aims to solve the technical problem that real recommendation statistical information of application software cannot be acquired.

In order to achieve the above object, the present invention provides an application recommendation apparatus, including:

the instruction module is used for receiving an application recommendation instruction;

the information module is used for acquiring recommended statistical information of each recommended application software according to the recommended application information of each application market in a pre-configured database based on the application recommendation instruction;

and the recommendation module is used for generating a recommended application list according to the recommendation statistical information of each application software and displaying the recommended application list on a display interface.

In one embodiment, the information module is further configured to,

based on the application recommendation instruction, querying the database to obtain an application market list, wherein each application market is recorded in the application market list; obtaining a target application market selected based on the application market list; and acquiring the recommendation statistical information of each application software recommended by the target application market according to the recommended application information of each application market in the database.

In one embodiment, the recommendation module is further operable to,

screening the application software meeting preset recommendation conditions according to the recommendation statistical information of each application software; and generating a recommended application list according to the recommended statistical information of the application software meeting the recommended conditions, and displaying the recommended application list on a display interface.

In one embodiment, the application recommendation apparatus further includes:

the target module is used for acquiring target application software selected based on the recommended application list;

and the detail module is used for inquiring the database, acquiring the application market information of the recommended target application software, generating a recommended market list and displaying the recommended market list in the display interface.

In one embodiment, the application recommendation apparatus further includes:

and the downloading module is used for receiving a downloading instruction input based on the target application software and downloading the target application software.

In addition, in order to achieve the above object, the present invention further provides an application recommendation method, including the steps of:

receiving an application recommendation instruction;

acquiring recommended statistical information of recommended application software according to recommended application information of each application market in a pre-configured database based on the application recommendation instruction;

and generating a recommended application list according to the recommended statistical information of each application software, and displaying the recommended application list on a display interface.

In an embodiment, the step of obtaining recommendation statistical information of recommended application software according to recommended application information of each application market in a preconfigured database based on the application recommendation instruction includes:

based on the application recommendation instruction, querying the database to obtain an application market list, wherein each application market is recorded in the application market list;

obtaining a target application market selected based on the application market list;

and acquiring the recommendation statistical information of each application software recommended by the target application market according to the recommended application information of each application market in the database.

In an embodiment, the step of generating a recommended application list according to the recommendation statistical information of each application software, and displaying the recommended application list on a display interface includes:

screening the application software meeting preset recommendation conditions according to the recommendation statistical information of each application software;

and generating a recommended application list according to the recommended statistical information of the application software meeting the recommended conditions, and displaying the recommended application list on a display interface.

In one embodiment, after the step of generating a recommended application list according to the recommended statistical information of each application software and displaying the recommended application list on a display interface, the method further includes:

acquiring target application software selected based on the recommended application list;

and querying the database, acquiring application market information of the recommended target application software, generating a recommended market list and displaying the recommended market list in the display interface.

In one embodiment, after the steps of querying the database, obtaining information of each application market recommending the target application software, generating a recommended market list, and displaying the recommended market list in the display interface, the method further includes:

and receiving a downloading instruction input based on the target application software, and downloading the target application software.

According to the application recommendation device and method provided by the embodiment of the invention, after the instruction module receives the application recommendation instruction, the information module obtains the recommendation statistical information of each recommended application software according to the recommendation application information of each application market in the pre-configured database based on the application recommendation instruction, and the obtained recommendation statistical information of each recommended application software is obtained based on a plurality of application markets, so that the obtained recommendation statistical information is more real, objective and fair compared with the recommendation statistical information of a single application market; then, the recommending module generates a recommended application list according to the recommended statistical information of each application software and displays the recommended application list on a display interface, so that a user can obtain the real recommended statistical information of each application software in the list according to the recommended application list, and the technical problem that the user cannot obtain the real recommended statistical information of the application software is solved. According to the invention, comprehensive and real recommendation statistical information is obtained by counting the recommended application conditions of the application software in a plurality of application markets, the real recommendation conditions of the recommended application software are shown to the user, the user is prevented from downloading unsafe or non-self-downloading applications due to the commercial factors of the application markets, and the user experience and the safety of the mobile phone are improved.

Drawings

Fig. 1 is a schematic diagram of a hardware structure of an alternative mobile terminal for implementing various embodiments of the present invention;

FIG. 2 is a diagram of a wireless communication system for the mobile terminal shown in FIG. 1;

FIG. 3 is a block diagram illustrating a first embodiment, a second embodiment and a third embodiment of an application recommendation device according to the present invention;

FIG. 4 is a block diagram of a fourth embodiment of an application recommendation device according to the present invention;

FIG. 5 is a block diagram of a fifth embodiment of the application recommendation device of the present invention;

FIG. 6 is a flowchart illustrating a first embodiment of an application recommendation method according to the present invention;

FIG. 7 is a flowchart illustrating a second embodiment of an application recommendation method according to the present invention;

FIG. 8 is a flowchart illustrating a third exemplary embodiment of a recommendation method according to the present invention;

FIG. 9 is a flowchart illustrating a fourth exemplary embodiment of a recommendation method according to the present invention;

FIG. 10 is a flowchart illustrating a fifth exemplary embodiment of the recommendation method of the present invention;

fig. 11 is a schematic diagram of an application recommendation scenario of a mobile terminal in an embodiment of the present invention;

FIG. 12 is a diagram illustrating a mobile terminal displaying an application market list according to an embodiment of the present invention;

fig. 13 is a schematic view of a scenario in which a mobile terminal displays an application recommendation list according to an embodiment of the present invention;

fig. 14 is a schematic view of a scenario in which a mobile terminal displays an application recommendation list according to an embodiment of the present invention;

fig. 15 is a schematic view of an application scenario in which a mobile terminal displays a recommended market list of application software according to an embodiment of the present invention.

The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.

Detailed Description

It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

A mobile terminal implementing various embodiments of the present invention will now be described with reference to the accompanying drawings. In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in themselves. Thus, "module" and "component" may be used in a mixture.

The mobile terminal may be implemented in various forms. For example, the terminal described in the present invention may include a mobile terminal such as a mobile phone, a smart phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a navigation device, and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. In the following, it is assumed that the terminal is a mobile terminal. However, it will be understood by those skilled in the art that the configuration according to the embodiment of the present invention can be applied to a fixed type terminal in addition to elements particularly used for moving purposes.

Fig. 1 is a schematic diagram of an alternative mobile terminal hardware architecture for implementing various embodiments of the present invention.

The mobile terminal 100 may include a wireless communication unit 110, a user input unit 120, a sensing unit 130, an output unit 140, a memory 150, a controller 160, and a power supply unit 170, and the like. Fig. 1 illustrates a mobile terminal having various components, but it is to be understood that not all illustrated components are required to be implemented. More or fewer components may alternatively be implemented. Elements of the mobile terminal will be described in detail below.

The wireless communication unit 110 typically includes one or more components that allow radio communication between the mobile terminal 100 and a wireless communication system or network. For example, the wireless communication unit may include at least one of a mobile communication module 111 and a wireless internet module 112.

The mobile communication module 111 transmits and/or receives radio signals to and/or from at least one of a base station (e.g., access point, node B, etc.), an external terminal, and a server. Such radio signals may include voice call signals, video call signals, or various types of data transmitted and/or received according to text and/or multimedia messages.

The wireless internet module 112 supports wireless internet access of the mobile terminal. The module may be internally or externally coupled to the terminal. The wireless internet access technology to which the module relates may include WLAN (wireless LAN) (Wi-Fi), Wibro (wireless broadband), Wimax (worldwide interoperability for microwave access), HSDPA (high speed downlink packet access), and the like.

The user input unit 120 may generate key input data to control various operations of the mobile terminal according to a command input by a user. The user input unit 120 allows a user to input various types of information, and may include a keyboard, dome sheet, touch pad (e.g., a touch-sensitive member that detects changes in resistance, pressure, capacitance, and the like due to being touched), scroll wheel, joystick, and the like. In particular, when the touch pad is superimposed on the display unit 141 in the form of a layer, a touch screen may be formed.

The sensing unit 130 detects a current state of the mobile terminal 100 (e.g., an open or closed state of the mobile terminal 100), a position of the mobile terminal 100, presence or absence of contact (i.e., touch input) by a user with the mobile terminal 100, an orientation of the mobile terminal 100, acceleration or deceleration movement and direction of the mobile terminal 100, and the like, and generates a command or signal for controlling an operation of the mobile terminal 100.

The output unit 140 may include a display unit 141 and the like.

The display unit 141 may display information processed in the mobile terminal 100. For example, when the mobile terminal 100 is in a phone call mode, the display unit 141 may display a User Interface (UI) or a Graphical User Interface (GUI) related to a call or other communication (e.g., text messaging, multimedia file downloading, etc.). When the mobile terminal 100 is in a video call mode or an image capturing mode, the display unit 141 may display a captured image and/or a received image, a UI or GUI showing a video or an image and related functions, and the like.

Meanwhile, when the display unit 141 and the touch pad are stacked on each other in the form of layers to form a touch screen, the display unit 141 may function as an input device and an output device. The display unit 141 may include at least one of a Liquid Crystal Display (LCD), a thin film transistor LCD (TFT-LCD), an Organic Light Emitting Diode (OLED) display, a flexible display, a three-dimensional (3D) display, and the like. Some of these displays may be configured to be transparent to allow a user to view from the outside, which may be referred to as transparent displays, and a typical transparent display may be, for example, a TOLED (transparent organic light emitting diode) display or the like. Depending on the particular desired implementation, the mobile terminal 100 may include two or more display units (or other display devices), for example, the mobile terminal may include an external display unit (not shown) and an internal display unit (not shown). The touch screen may be used to detect a touch input pressure as well as a touch input position and a touch input area.

The memory 150 may store software programs and the like for processing and controlling operations performed by the controller 160, or may temporarily store data (e.g., a phonebook, messages, still images, videos, and the like) that has been or is to be output. Also, the memory 150 may store data regarding various ways of vibration and audio signals output when a touch is applied to the touch screen.

The memory 150 may include at least one type of storage medium including a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. Also, the mobile terminal 100 may cooperate with a network storage device that performs a storage function of the memory 150 through a network connection.

The controller 160 generally controls the overall operation of the mobile terminal. For example, the controller 160 performs control and processing related to voice calls, data communications, video calls, and the like. The controller 160 may perform a pattern recognition process to recognize a handwriting input or a picture drawing input performed on the touch screen as a character or an image.

The power supply unit 170 receives external power or internal power and provides appropriate power required to operate the respective elements and components under the control of the controller 160.

The various embodiments described herein may be implemented in a computer-readable medium using, for example, computer software, hardware, or any combination thereof. For a hardware implementation, the embodiments described herein may be implemented using at least one of an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, an electronic unit designed to perform the functions described herein, and in some cases, such embodiments may be implemented in the controller 160. For a software implementation, the implementation such as a process or a function may be implemented with a separate software module that allows performing at least one function or operation. The software codes may be implemented by software applications (or programs) written in any suitable programming language, which may be stored in memory 150 and executed by controller 160.

Up to this point, mobile terminals have been described in terms of their functionality. Hereinafter, a slide-type mobile terminal among various types of mobile terminals, such as a folder-type, bar-type, swing-type, slide-type mobile terminal, and the like, will be described as an example for the sake of brevity. Accordingly, the present invention can be applied to any type of mobile terminal, and is not limited to a slide type mobile terminal.

The mobile terminal 100 as shown in fig. 1 may be configured to operate with communication systems such as wired and wireless communication systems and satellite-based communication systems that transmit data via frames or packets.

A communication system in which a mobile terminal according to the present invention is operable will now be described with reference to fig. 2.

Such communication systems may use different air interfaces and/or physical layers. For example, the air interface used by the communication system includes, for example, Frequency Division Multiple Access (FDMA), Time Division Multiple Access (TDMA), Code Division Multiple Access (CDMA), and Universal Mobile Telecommunications System (UMTS) (in particular, Long Term Evolution (LTE)), global system for mobile communications (GSM), and the like. By way of non-limiting example, the following description relates to a CDMA communication system, but such teachings are equally applicable to other types of systems.

Referring to fig. 2, the CDMA wireless communication system may include a plurality of mobile terminals 100, a plurality of Base Stations (BSs) 270, Base Station Controllers (BSCs) 275, and a Mobile Switching Center (MSC) 280. The MSC280 is configured to interface with a Public Switched Telephone Network (PSTN) 290. The MSC280 is also configured to interface with a BSC275, which may be coupled to the base station 270 via a backhaul. The backhaul may be constructed according to any of several known interfaces including, for example, E1/T1, ATM, IP, PPP, frame Relay, HDSL, ADSL, or xDSL. It will be understood that a system as shown in fig. 2 may include multiple BSCs 275.

Each BS270 may serve one or more sectors (or regions), each sector covered by a multi-directional antenna or an antenna pointing in a particular direction being radially distant from the BS 270. Alternatively, each partition may be covered by two or more antennas for diversity reception. Each BS270 may be configured to support multiple frequency allocations, with each frequency allocation having a particular frequency spectrum (e.g., 1.25MHz,5MHz, etc.).

The intersection of partitions with frequency allocations may be referred to as a CDMA channel. The BS270 may also be referred to as a Base Transceiver Subsystem (BTS) or other equivalent terminology. In such a case, the term "base station" may be used to generically refer to a single BSC275 and at least one BS 270. The base stations may also be referred to as "cells". Alternatively, each sector of a particular BS270 may be referred to as a plurality of cell sites.

As shown in fig. 2, a Broadcast Transmitter (BT)295 transmits a broadcast signal to the mobile terminal 100 operating within the system. In fig. 2, several Global Positioning System (GPS) satellites 300 are shown. The satellite 300 assists in locating at least one of the plurality of mobile terminals 100.

In fig. 2, a plurality of satellites 300 are depicted, but it is to be understood that useful positioning information may be obtained with any number of satellites. Other techniques that can track the location of the mobile terminal may be used instead of or in addition to GPS tracking techniques. In addition, at least one GPS satellite 300 may selectively or additionally process satellite DMB transmission.

As a typical operation of the wireless communication system, the BS270 receives reverse link signals from various mobile terminals 100. The mobile terminal 100 is generally engaged in conversations, messaging, and other types of communications. Each reverse link signal received by a particular base station 270 is processed within the particular BS 270. The obtained data is forwarded to the associated BSC 275. The BSC provides call resource allocation and mobility management functions including coordination of soft handoff procedures between BSs 270. The BSCs 275 also route the received data to the MSC280, which provides additional routing services for interfacing with the PSTN 290. Similarly, the PSTN290 interfaces with the MSC280, the MSC interfaces with the BSCs 275, and the BSCs 275 accordingly control the BS270 to transmit forward link signals to the mobile terminal 100.

Based on the above mobile terminal hardware structure and communication system, various embodiments of the present invention are proposed.

Referring to fig. 3, a first embodiment of the application recommendation apparatus according to the present invention provides an application recommendation apparatus, including:

and the instruction module 10 is used for receiving the application recommendation instruction.

The application recommendation device in the embodiment of the invention is deployed on the mobile terminal, and after the user inputs the application recommendation instruction, the recommendation statistical information of each application software is intelligently counted and displayed to the user, so that the user can see the recommended condition of each application software. The embodiment of the invention unifies the resources of each application market and then compares the resources, so that the obtained recommendation statistical information of the application software is real and effective, a brand-new application recommendation mode is presented to a user, and the user is prevented from downloading unsafe or non-self-downloading applications due to the commercial factors of the application market.

Specifically, as an embodiment, first, the instruction module 10 receives an application recommendation instruction input by a user.

The user may input the application recommendation command in a variety of ways, for example, by voice command input, shortcut function button input, and the like.

And the information module 20 is configured to obtain recommendation statistical information of each recommended application software according to the recommended application information of each application market in a preconfigured database based on the application recommendation instruction.

After receiving the application recommendation instruction, the information module 20 queries a pre-configured database to obtain recommendation statistical information of each recommended application software based on the application recommendation instruction.

Specifically, as an embodiment, the information module 20 is configured with a database in advance, and each application market and corresponding recommended application information are described in the database.

The application market described in the database can be flexibly set, and for example, a plurality of application markets which are currently mainstream and have high popularity can be selected. The recommended application information corresponding to each application market may be in the form of a recommendation list, and records the recommended application software information, that is, all the application software recommended by each application market are correspondingly recorded in the recommendation list of each application market, and different application software may be identified by using information such as an application name.

It should be noted that each application market and the corresponding recommended application information in the database may be updated.

For example, the server may query recommended applications of each application market according to a preset frequency, obtain latest recommended application information of each application market, and generate a recommendation list. And then generates database update information according to each application market and the corresponding latest recommendation list, and pushes the database update information to the information module 20.

The information module 20 receives the database update information sent by the server, and updates the locally stored database according to the database update information.

After receiving the application recommendation instruction, the information module 20 queries the database to obtain each application market and a corresponding recommendation list based on the application recommendation instruction, and obtains each application software in the recommendation list.

Then, the information module 20 performs deduplication processing on the application software in the obtained recommendation list, and removes duplicate information when two or more application markets recommend the same application software at the same time, so as to obtain each application software after deduplication.

Then, the information module 20 counts the recommendation statistical information of each application software after the duplication removal. The recommendation statistics for each application software include the number of recommendations, the recommendation ranking in each application market, and the like.

The present embodiment takes the recommendation statistical information of the application software as an example of the recommendation times. The information module 20 counts the number of application markets for recommending the application software according to the application software, and the obtained counted number is the number of times of recommending the current application software.

Thus, the information module 20 obtains recommendation statistical information of each recommended application software.

And the recommending module 30 is configured to generate a recommended application list according to the recommended statistical information of each application software, and display the recommended application list on a display interface.

After acquiring the recommendation statistical information of each application software, the recommendation module 30 generates a recommended application list according to the recommendation statistical information of each application software, and displays the obtained recommended application list in the current display interface of the mobile terminal.

Specifically, as an implementation manner, the recommendation module 30 obtains the ranking weight of each application software according to the recommendation statistical information of each application software, and then sorts each application software according to the ranking weight and adds the application software to the recommended application list.

For example, the recommendation statistical information of each current application software is the recommendation frequency, and the recommendation frequency is used as the ranking weight of each application software. Wherein, the more the recommendation times, the higher the ranking weight.

Then, the recommending module 30 ranks the application software according to the ranking weight, and adds the ranked application software to the recommended application list, where the higher the weight is, the higher the ranking is, that is, the more the ranking is, the more the recommending times is, the higher the ranking is.

Then, the recommendation module 30 adds recommendation statistical information corresponding to each application software in the application recommendation list, so that the user can obtain recommended conditions of each application software. For example, information such as the number of times of recommendation of each application software, recommendation ranks in each application market, and the like is added to the application recommendation list.

The recommendation module 30 thus obtains the generated application recommendation list.

Then, the recommendation module 30 displays the generated application recommendation list in the current display interface by the mobile terminal, so that the user can know the recommendation statistical information of each application software.

The application software ranked further up in the application recommendation list is also marked with more application markets recommending the application software, which is considered to be popular or highly popular by the user, rather than being purposely recommended by a single application market for business reasons. Thus, the user can acquire real information recommended by the application software.

In this embodiment, after the instruction module 10 receives the application recommendation instruction, the information module 20 obtains recommendation statistical information of each recommended application software according to recommended application information of each application market in a preconfigured database based on the application recommendation instruction, and the obtained recommendation statistical information of each recommended application software is obtained based on a plurality of application markets, so that the obtained recommendation statistical information is more real, objective and fair compared with the recommendation statistical information of a single application market; then, the recommending module 30 generates a recommended application list according to the recommended statistical information of each application software, and displays the recommended application list on the display interface, so that the user can obtain the real recommended statistical information of each application software in the list according to the recommended application list, and the technical problem that the user cannot obtain the real recommended statistical information of the application software is solved. According to the embodiment, comprehensive and real recommendation statistical information is obtained by counting the recommended application conditions of the application software in a plurality of application markets, the real recommendation conditions of the recommended application software are displayed for the user, the user is prevented from downloading unsafe or non-self-downloading applications due to business factors of the application markets, and the user experience and the safety of the mobile phone are improved.

Referring to fig. 6, a first embodiment of an application recommendation method according to the present invention provides an application recommendation method, including:

and step S10, receiving an application recommendation instruction.

According to the embodiment of the invention, after the user inputs the application recommendation instruction, the recommendation statistical information of each application software is intelligently counted and displayed to the user, so that the user can see the recommended condition of each application software. The embodiment of the invention unifies the resources of each application market and then compares the resources, so that the obtained recommendation statistical information of the application software is real and effective, a brand-new application recommendation mode is presented to a user, and the user is prevented from downloading unsafe or non-self-downloading applications due to the commercial factors of the application market.

Specifically, as an embodiment, first, the mobile terminal receives an application recommendation instruction input by a user.

And step S20, acquiring recommendation statistical information of each recommended application software according to the recommended application information of each application market in a pre-configured database based on the application recommendation instruction.

After receiving the application recommendation instruction, the mobile terminal queries a pre-configured database to obtain recommendation statistical information of each recommended application software based on the application recommendation instruction.

Specifically, as one embodiment, a database is configured in advance in the mobile terminal, and each application market and corresponding recommended application information are described in the database.

For example, the server may query recommended applications of each application market according to a preset frequency, obtain latest recommended application information of each application market, and generate a recommendation list. And then generating database updating information according to each application market and the corresponding latest recommendation list, and pushing the database updating information to the mobile terminal.

And the mobile terminal receives the database updating information sent by the server and updates the database stored locally according to the database updating information.

After receiving the application recommendation instruction, the mobile terminal queries the database to obtain each application market and a corresponding recommendation list based on the application recommendation instruction, and obtains each application software in the recommendation list.

And then, performing duplicate removal processing on the application software in the obtained recommendation list, and removing duplicate information to obtain each application software after duplicate removal when two or more application markets recommend the same application software at the same time.

And then, counting the recommendation statistical information of each application software after the duplication removal. The recommendation statistics for each application software include the number of recommendations, the recommendation ranking in each application market, and the like.

The present embodiment takes the recommendation statistical information of the application software as an example of the recommendation times. The mobile terminal counts the number of application markets for recommending the application software at present according to the application software, and the obtained counted number is the number of times of recommending the application software at present.

Thus, recommendation statistical information of each recommended application software is obtained.

And step S30, generating a recommended application list according to the recommended statistical information of each application software, and displaying the recommended application list on a display interface.

After the recommendation statistical information of each application software is obtained, a recommendation application list is generated according to the recommendation statistical information of each application software, and the obtained recommendation application list is displayed in a current display interface of the mobile terminal.

Specifically, as an implementation manner, the mobile terminal obtains the ranking weight of each application software according to the recommendation statistical information of each application software, and then sorts each application software according to the ranking weight and adds the application software to the recommendation application list.

Then, the application software is ranked according to the ranking weight and added into the recommended application list, the higher the weight is, the more forward the ranking is, that is, the application software is ranked according to the recommendation times and then added into the recommended application list, and the more the recommendation times are, the more forward the ranking is.

And then, adding recommendation statistical information corresponding to each application software in the application recommendation list so that a user can obtain the recommended condition of each application software. For example, information such as the number of times of recommendation of each application software, recommendation ranks in each application market, and the like is added to the application recommendation list.

Thereby, the generated application recommendation list is obtained.

And then, the mobile terminal displays the generated application recommendation list in the current display interface so that the user can know the recommendation statistical information of each application software.

In this embodiment, after receiving the application recommendation instruction, based on the application recommendation instruction, obtaining recommendation statistical information of each recommended application software according to the recommendation application information of each application market of the preconfigured database, where the obtained recommendation statistical information of each recommended application software is obtained based on multiple application markets, so that the obtained recommendation statistical information is more real, objective and fair compared with the recommendation statistical information of a single application market; and then, generating a recommended application list according to the recommended statistical information of each application software, and displaying the recommended application list on a display interface, so that a user can acquire the real recommended statistical information of each application software in the list according to the recommended application list, and the technical problem that the user cannot acquire the real recommended statistical information of the application software is solved. According to the embodiment, comprehensive and real recommendation statistical information is obtained by counting the recommended application conditions of the application software in a plurality of application markets, the real recommendation conditions of the recommended application software are displayed for the user, the user is prevented from downloading unsafe or non-self-downloading applications due to business factors of the application markets, and the user experience and the safety of the mobile phone are improved.

Referring to fig. 3, a second embodiment of the application recommendation device of the present invention provides an application recommendation device, and the difference between the second embodiment of the application recommendation device of the present invention and the first embodiment of the application recommendation device of the present invention is that the information module 20 is further configured to,

The present embodiment is different from the first embodiment of the application recommendation apparatus of the present invention described above in that: when the application recommendation instruction is received, the embodiment provides an application market list for the user to select the target application market, and the generated recommended application list only includes the recommendation statistical information of the application software recommended in the target application market, so that the user can more specifically acquire the recommendation statistical information of the application software in the application market.

Specifically, as an embodiment, after receiving the application recommendation instruction, the information module 20 queries the database to obtain information of each application market based on the application recommendation instruction, and generates an application market list in which each application market is recorded.

The information module 20 then displays a list of application markets in the current display interface for the user to select a target application market to view.

After the user selects a target application market based on the current application market list and inputs a confirmation instruction, the information module 20 acquires the target application market selected by the current user.

After obtaining the target application market selected by the user, the information module 20 obtains recommended application information of the target application market in the database.

In one embodiment, the information module 20 searches the database to obtain a recommendation list of the current target application market, and the recommendation list summarizes and describes each application software recommended by the target application market.

Then, the information module 20 searches the database according to each application software, and obtains the information recommended by each application market in the application market list of each application software. For example, the number of times each application software is recommended by the application market in the application market list is counted, and the number of times each application software is recommended is obtained as the recommendation statistic information corresponding to each application software.

Thus, the information module 20 obtains the recommendation statistic information of each application software recommended by the target application market.

Then, the recommending module 30 obtains the ranking weight of each application software according to the recommendation statistical information of each application software, and then sorts each application software according to the ranking weight and adds the ranking weight to the recommended application list.

For example, the recommendation statistical information of each current application software is the recommendation times, and the information module 20 takes the recommendation times as the ranking weight of each application software. Wherein, the more the recommendation times, the higher the ranking weight.

Then, the recommending module 30 ranks the application software according to the ranking weight and adds the ranked application software to the recommended application list, that is, ranks the application software according to the number of times of recommendation and adds the ranked application software to the recommended application list, where the greater the number of times of recommendation, the higher the ranking is.

Then, the recommendation module 30 adds recommendation statistical information corresponding to each application software in the application recommendation list, so that the user can obtain recommended conditions of each application software recommended by the target application market. For example, information such as the number of times of recommendation of each application software, recommendation ranks in each application market, and the like is added to the application recommendation list.

Thus, the recommendation module 30 obtains the generated application recommendation list and displays the application recommendation list on the display interface of the mobile terminal.

The application recommendation method applied to the mobile terminal is used for illustrating an application scene.

Referring to fig. 11, the user pulls down the status bar of the mobile terminal, selects an application recommendation among the function buttons of the status bar, and inputs an application recommendation command.

Referring to fig. 12, after the instruction module 10 receives the application recommendation instruction, the information module 20 queries each application market information recorded in the database, obtains an application market list, and displays the application market list in the current display interface of the mobile terminal. The application market list records current application markets, such as a1, a2, A3, a4, a5, and the like.

The user may select a target application marketplace, such as a1, to view based on the current application marketplace list.

The information module 20 obtains a target application market selected by a user, and then queries a database to obtain the recommended application information of the current A1, so that the application software recommended by the current A1 comprises B1, B2, B3, B4, B5 and B6.

Then, the information module 20 counts the number of times each application software is recommended by the application market in the application market list. The recommendation frequency of B1 is 10, the recommendation frequency of B2 is 10, the recommendation frequency of B3 is 10, the recommendation frequency of B4 is 7, the recommendation frequency of B5 is 3, and the recommendation frequency of B6 is 1.

Thereby, the information module 20 obtains recommendation statistical information of each application software.

Then, the recommending module 30 generates a recommended application list according to the recommendation statistical information of each application software, and the application software in the generated recommended application list is sorted according to the recommendation times, and the more the recommendation times are, the farther the sorting is.

The recommendation list describes the number of times each application software is recommended by each application market.

Then, referring to fig. 13, the recommending module 30 displays a recommended application list in a display interface for the user to obtain the recommendation statistical information of each application software currently recommended in the target application market.

In this embodiment, after receiving the application recommendation instruction, the information module 20 queries the database to obtain an application market list, where each application market is recorded in the application market list; then, acquiring a target application market selected by the user based on the application market list, and acquiring the target application market, namely the application market of the user needing to view the recommended application condition at present; then, according to the recommended application information of each application market in the database, the recommendation statistical information of each application software recommended by the target application market is obtained, and the recommendation statistical information of each application software recommended by the target application market is recorded in the application recommendation list generated by the recommendation module 30, so that the user can obtain the recommendation statistical information of each application software recommended by the target application market according to the application recommendation list. In the embodiment, the application market list is provided for the user to select the target application market, and the recommendation statistical information of each application software recommended by the target application market is displayed, so that the user can know whether the application software recommended by the target application market is also recommended by other application markets, and the user can select the application which is recommended by other application markets and has high recommendation rate to download, thereby avoiding interference of information such as malicious brushing-out download amount.

Referring to fig. 7, a second embodiment of the application recommendation method according to the present invention provides an application recommendation method, based on the embodiment shown in fig. 6, where step S20 includes:

and step S21, based on the application recommendation command, querying the database to obtain an application market list, wherein the application market list records each application market.

The present embodiment is different from the first embodiment of the recommendation method of the present invention described above in that: when the application recommendation instruction is received, the embodiment provides an application market list for the user to select the target application market, and the generated recommended application list only includes the recommendation statistical information of the application software recommended in the target application market, so that the user can more specifically acquire the recommendation statistical information of the application software in the application market.

Specifically, as an implementation manner, after receiving the application recommendation instruction, based on the application recommendation instruction, querying the database to obtain information of each application market, and generating an application market list, where each application market is recorded in the application market list.

Then, the mobile terminal displays the application market list in the current display interface, so that the user can select the target application market needing to be viewed.

And step S22, acquiring the target application market selected based on the application market list.

And after the user selects the target application market based on the current application market list and inputs a confirmation instruction, the mobile terminal acquires the target application market selected by the current user.

And step S23, acquiring the recommended statistical information of each application software recommended by the target application market according to the recommended application information of each application market in the database.

And after the target application market selected by the user is obtained, the mobile terminal obtains the recommended application information of the target application market in the database.

As an implementation mode, the mobile terminal searches a database, acquires a recommendation list of the current target application market, and summarizes and records each application software recommended by the target application market.

Then, the mobile terminal searches the database respectively according to the application software to acquire the information recommended by each application market in the application market list of the application software. For example, the number of times each application software is recommended by the application market in the application market list is counted, and the number of times each application software is recommended is obtained as the recommendation statistic information corresponding to each application software.

Thus, recommendation statistical information of each application software recommended by the target application market is obtained.

Then, the mobile terminal obtains the ranking weight of each application software according to the recommendation statistical information of each application software, and then sorts each application software according to the ranking weight and adds the application software into the recommendation application list.

And then, sequencing the application software according to the ranking weight and adding the application software into the recommended application list, namely, sequencing the application software according to the recommendation times and adding the application software into the recommended application list, wherein the more the recommendation times are, the higher the sequencing is.

And then, adding recommendation statistical information corresponding to each application software in the application recommendation list so that a user can obtain the recommended condition of each application software recommended by the target application market. For example, information such as the number of times of recommendation of each application software, recommendation ranks in each application market, and the like is added to the application recommendation list.

Therefore, the generated application recommendation list is obtained and displayed on the display interface of the mobile terminal.

Referring to fig. 12, after receiving the application recommendation instruction, the mobile terminal queries each application market information recorded in the database, obtains an application market list, and displays the application market list on the current display interface of the mobile terminal. The application market list records current application markets, such as a1, a2, A3, a4, a5, and the like.

The mobile terminal obtains a target application market selected by a user, then queries a database to obtain the recommended application information of the current A1, and obtains the application software recommended by the current A1, wherein the application software comprises B1, B2, B3, B4, B5 and B6.

Then, the number of times that each application software is recommended by the application market in the application market list is counted. The recommendation frequency of B1 is 10, the recommendation frequency of B2 is 10, the recommendation frequency of B3 is 10, the recommendation frequency of B4 is 7, the recommendation frequency of B5 is 3, and the recommendation frequency of B6 is 1.

Thus, the recommendation statistical information of each application software is obtained.

And then, generating a recommended application list according to the recommended statistical information of each application software, and sequencing each application software in the generated recommended application list according to the recommended times, wherein the more the recommended times are, the more the sequencing is.

Then, referring to fig. 13, the mobile terminal displays a recommended application list in a display interface, so that the user can obtain the recommendation statistical information of each application software currently recommended in the target application market.

In this embodiment, after receiving an application recommendation instruction, querying a database to obtain an application market list, where each application market is recorded in the application market list; then, acquiring a target application market selected by the user based on the application market list, and acquiring the target application market, namely the application market of the user needing to view the recommended application condition at present; then, according to the recommended application information of each application market in the database, acquiring the recommended statistical information of each application software recommended by the target application market, and recording the recommended statistical information of each application software recommended by the target application market in the generated application recommendation list, so that a user can acquire the recommended statistical information of each application software recommended by the target application market according to the application recommendation list. In the embodiment, the application market list is provided for the user to select the target application market, and the recommendation statistical information of each application software recommended by the target application market is displayed, so that the user can know whether the application software recommended by the target application market is also recommended by other application markets, and the user can select the application which is recommended by other application markets and has high recommendation rate to download, thereby avoiding interference of information such as malicious brushing-out download amount.

Referring to fig. 3, a third embodiment of the application recommendation device of the present invention provides an application recommendation device, based on the first embodiment or the second embodiment of the application recommendation device of the present invention shown in fig. 3, the recommendation module 30 is further configured to,

screening the application software meeting preset recommendation conditions according to the recommendation statistical information of each application software; and generating a recommended application list according to the application software recommendation statistical information meeting the recommendation condition, and displaying the recommended application list on a display interface.

The present embodiment is different from the first and second embodiments of the application recommendation device of the present invention described above in that: in this embodiment, after obtaining the recommendation statistical information of each application software, each application software is screened according to a preset recommendation condition, and only the recommendation statistical information of the application software meeting the recommendation condition is recorded in the generated application recommendation list. According to the method and the device, useless applications in the application recommendation list are removed through screening of the application software, and the practicability of the application recommendation list is improved.

Specifically, the recommendation statistical information of the current application software is taken as the recommendation times for example. The preset recommendation condition is a recommendation frequency threshold value.

The recommending module 30 determines according to the recommending times and the recommending time threshold of each application software. If the recommendation times of the application software are greater than or equal to the recommendation time threshold, judging that the application software meets the preset recommendation conditions; and if the recommendation times of the application software are smaller than the recommendation time threshold, judging that the application software does not meet the preset recommendation condition.

Thus, the recommendation module 30 obtains the determination result of each application software.

Then, the recommendation module 30 acquires each application software satisfying the recommendation condition.

After obtaining each application software meeting the recommendation condition, the recommendation module 30 generates a recommended application list according to the application software recommendation statistical information meeting the recommendation condition, and displays the recommended application list in the display interface of the mobile terminal.

Based on the embodiment shown in fig. 13, if the current recommendation frequency threshold is 5, the application software meeting the recommendation condition obtained by screening is B1, B2, B3 and B4. B5 and B6 can be regarded as cold door applications because of the low number of recommendations, and do not need to be recommended to the user.

The recommending module 30 sorts according to the recommending times of B1, B2, B3 and B4, and generates a recommended application list as shown in fig. 14 for the user to obtain the recommended application condition of the application market a 1. Because only the application software meeting the recommendation conditions and the corresponding recommendation statistical information are recorded in the generated recommended application list, part of cold application software with few recommendation times is screened out, the application software recorded in the obtained recommended application list is recommended by more application markets, and the application software recorded in the recommended application list can be determined to be common or currently popular, so that the requirements of users are met.

In this embodiment, the recommending module 30 screens the application software meeting the preset recommending condition according to the recommending statistical information of each application software, so as to remove the application software not meeting the recommending condition, so that the application software obtained by screening better meets the use requirement of the user; then, a recommended application list is generated according to the application software recommendation statistical information meeting the recommendation conditions, and the generated recommended application list is displayed on a display interface, so that a user can obtain the application software meeting the preset recommendation conditions according to the recommended application list, the application software which does not meet the recommendation conditions due to low recommendation times or other reasons in the recommended application list is removed, the application software is screened, the application software recorded in the obtained recommended application list is common or popular currently, the user requirements are met, meanwhile, useless application information in the application recommendation list is reduced, and the user experience is improved.

Referring to fig. 8, a first embodiment of the application recommendation method according to the present invention provides an application recommendation method, based on the embodiment shown in fig. 6 or fig. 7 (in this embodiment, fig. 6 is taken as an example), where step S30 includes:

and step S31, screening the application software meeting the preset recommendation condition according to the recommendation statistical information of each application software.

The present embodiment differs from the first and second embodiments of the recommendation method of the present invention described above in that: in this embodiment, after obtaining the recommendation statistical information of each application software, each application software is screened according to a preset recommendation condition, and only the recommendation statistical information of the application software meeting the recommendation condition is recorded in the generated application recommendation list. According to the method and the device, useless applications in the application recommendation list are removed through screening of the application software, and the practicability of the application recommendation list is improved.

The mobile terminal judges according to the recommendation times and the recommendation time threshold of each application software. If the recommendation times of the application software are greater than or equal to the recommendation time threshold, judging that the application software meets the preset recommendation conditions; and if the recommendation times of the application software are smaller than the recommendation time threshold, judging that the application software does not meet the preset recommendation condition.

Thus, the determination results of the respective application software are obtained.

Then, the mobile terminal acquires each application software meeting the recommendation condition.

And step S32, generating a recommended application list according to the application software recommendation statistical information meeting the recommendation conditions, and displaying the recommended application list on a display interface.

After obtaining each application software meeting the recommendation condition, the mobile terminal generates a recommended application list according to the application software recommendation statistical information meeting the recommendation condition, and displays the recommended application list in a display interface of the mobile terminal.

The mobile terminal sorts according to the recommendation times of B1, B2, B3 and B4, and a generated recommended application list is shown in FIG. 14, so that the user can obtain the recommended application condition of the application market A1. Because only the application software meeting the recommendation conditions and the corresponding recommendation statistical information are recorded in the generated recommended application list, part of cold application software with few recommendation times is screened out, the application software recorded in the obtained recommended application list is recommended by more application markets, and the application software recorded in the recommended application list can be determined to be common or currently popular, so that the requirements of users are met.

In the embodiment, the application software meeting the preset recommendation condition is obtained by screening according to the recommendation statistical information of each application software, so that the application software not meeting the recommendation condition is removed, and the application software obtained by screening better meets the use requirement of a user; then, a recommended application list is generated according to the application software recommendation statistical information meeting the recommendation conditions, and the generated recommended application list is displayed on a display interface, so that a user can obtain the application software meeting the preset recommendation conditions according to the recommended application list, the application software which does not meet the recommendation conditions due to low recommendation times or other reasons in the recommended application list is removed, the application software is screened, the application software recorded in the obtained recommended application list is common or popular currently, the user requirements are met, meanwhile, useless application information in the application recommendation list is reduced, and the user experience is improved.

Referring to fig. 4, a fourth embodiment of the application recommendation device according to the present invention provides an application recommendation device, based on any of the embodiments shown in fig. 3, the application recommendation device further includes:

and the target module 40 is used for acquiring the target application software selected based on the recommended application list.

The present embodiment differs from the first, second, and third embodiments of the application recommendation apparatus of the present invention described above in that: in this embodiment, the user can view the application market recommending the target application software based on the application recommendation list, so that the user can know which application market recommends the target application software.

Specifically, the user may select the target application software based on the current recommended application list and input a confirmation instruction.

The target module 40 acquires the target application software selected by the user.

And the detail module 50 is used for querying the database, acquiring application market information of the recommended target application software, generating a recommended market list and displaying the recommended market list in the display interface.

After the target application software is obtained, the detail module 50 queries the database to obtain the application market information of the recommended target application software, and obtains the application markets of the recommended target application software.

Then, the detail module 50 generates a recommended market list according to the application market information of the recommended target application software, and displays the recommended market list on the current display interface of the mobile terminal, so that the user can know the application markets of the recommended target application.

Based on the above embodiment shown in fig. 13, if the user selects B1 as the target application software, a confirmation instruction is input.

The detail module 50 searches the database to obtain the information of each application market of the recommendation B1, and obtains the application markets of the recommendation B1 as a1, a2, A3, a4, a5, and the like.

Then, the application market information obtained by the detail module 50 generates a recommended market list, and displays a display interface in the mobile terminal with reference to fig. 15.

Thus, the user can acquire the situation that the target application is recommended by each application market.

In this embodiment, after the target module 40 obtains the target application software selected based on the recommended application list, the detail module 50 queries the database to obtain each application market information of the recommended target application software, generates the recommended market list, and displays the recommended market list on the display interface, thereby implementing the viewing of the recommended detail information of the application software. According to the embodiment, the recommendation reference details of the target application software selected by the user are displayed, so that the user can know which application markets recommend the application software, and the practicability of the invention is improved.

Referring to fig. 9, a fourth embodiment of the application recommendation method according to the present invention provides an application recommendation method, based on the embodiments shown in fig. 6, fig. 7, or fig. 8 (this embodiment takes fig. 8 as an example), after step S30, the method further includes:

and step S40, acquiring the target application software selected based on the recommended application list.

The present embodiment differs from the first, second, and third embodiments of the application recommendation method of the present invention described above in that: in this embodiment, the user can view the application market recommending the target application software based on the application recommendation list, so that the user can know which application market recommends the target application software.

The mobile terminal acquires the target application software selected by the user.

And step S50, inquiring the database, acquiring application market information recommending the target application software, generating a recommended market list and displaying the recommended market list in the display interface.

After the target application software is obtained, the mobile terminal queries the database, obtains the application market information of the recommended target application software, and obtains the application markets of the recommended target application software.

And then, the mobile terminal generates a recommended market list according to the application market information of the recommended target application software, and the recommended market list is displayed in a current display interface of the mobile terminal so that a user can know the application markets of the recommended target application.

The mobile terminal searches the database, obtains the information of each application market of the recommendation B1, and obtains the application markets of the recommendation B1 as A1, A2, A3, A4, A5 and the like.

Then, the user moves a display interface displayed in the mobile terminal to generate a recommended market list based on the obtained application market information, with reference to fig. 15.

In the embodiment, after the target application software selected based on the recommended application list is obtained, the database is queried, the application market information of the recommended target application software is obtained, the recommended market list is generated and displayed in the display interface, and the viewing of the recommended detail information of the application software is realized. According to the embodiment, the recommendation reference details of the target application software selected by the user are displayed, so that the user can know which application markets recommend the application software, and the practicability of the invention is improved.

Referring to fig. 5, a fifth embodiment of the application recommendation device according to the present invention provides an application recommendation device, based on any of the embodiments shown in fig. 3 or fig. 4 (this embodiment takes fig. 4 as an example), the application recommendation device further includes:

and a downloading module 60, configured to receive a downloading instruction input based on the target application software, and download the target application software.

The present embodiment differs from the first, second, and third embodiments of the application recommendation apparatus of the present invention described above in that: according to the embodiment, the downloading instruction input by the user can be received, the application software is downloaded according to the downloading instruction, the user does not need to quit the current interface and then manually switch to the application market to download the application software, and the use convenience of the user is improved.

Specifically, the downloading module 60 receives a downloading instruction input by the user based on the target application software, and the user may input the downloading instruction in the recommended application list interface or may input the downloading instruction in the recommended market list interface of the target application. The input mode of the downloading instruction comprises various modes such as long press, function button click, menu and the like.

In one embodiment, if the user selects the target application software in the recommended application list, a download instruction is input.

The download module 60 queries the database for the download link of the current target application software and jumps to the download page to download the target application software.

The downloading links stored in the database can comprise downloading links of application software in each application market, the downloading links are prioritized, and the downloading link with the highest priority is preferentially used; and when the downloading fails, selecting the downloading link with the next priority, and so on.

As another embodiment, the user may enter the download instruction by clicking on an application marketplace in the recommended marketplace list of the target application software.

The downloading module 60 queries the database to obtain the connection of the application market, and controls the current interface to jump to the display interface of the application market for the user to download the target application software; or the downloading module 60 queries the database to obtain the downloading connection of the target application software in the application market, and controls the current interface to jump to the display interface of the target application software in the application market, so that the user can download the target application software.

Thereby, the downloading of the target application software is realized.

In this embodiment, after receiving the download instruction input based on the target application software, the download module 60 downloads the target application software, so as to implement automatic download of the application software, and the user does not need to manually switch to the download interface of the application market to download the application software, which is convenient and fast to use.

Referring to fig. 10, a fifth embodiment of the application recommendation method according to the present invention provides an application recommendation method, based on the embodiments shown in fig. 6, fig. 7, fig. 8, or fig. 9 (this embodiment takes fig. 9 as an example), after step S50, the method further includes:

and step S60, receiving a downloading instruction input based on the target application software, and downloading the target application software.

The present embodiment differs from the above-described first embodiment, second embodiment, and third embodiment of the application recommendation method of the present invention in that: according to the embodiment, the downloading instruction input by the user can be received, the application software is downloaded according to the downloading instruction, the user does not need to quit the current interface and then manually switch to the application market to download the application software, and the use convenience of the user is improved.

Specifically, a downloading instruction input by the user based on the target application software is received, and the user can input the downloading instruction in the recommended application list interface or input the downloading instruction in the recommended market list interface of the target application. The input mode of the downloading instruction comprises various modes such as long press, function button click, menu and the like.

The mobile terminal inquires the download link of the current target application software in the database, and jumps to the download page to download the target application software.

The mobile terminal inquires a database, acquires the connection of the application market, and controls the current interface to jump to the display interface of the application market for a user to download target application software; or the mobile terminal queries the database, acquires the downloading connection of the target application software in the application market, and controls the current interface to jump to the display interface of the target application software in the application market for the user to download the target application software.

Thereby, the downloading of the target application software is realized.

In this embodiment, after receiving a download instruction input based on the target application software, the target application software is downloaded, so that automatic downloading of the application software is realized, a user does not need to manually switch to a download interface of an application market to download the application software, and the application market is convenient and fast to use.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.

The above description is only an alternative embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims

1. An application recommendation apparatus, characterized in that the application recommendation apparatus comprises:

the information module is used for acquiring recommended statistical information of each recommended application software according to recommended application information of each application market in a pre-configured database based on the application recommendation instruction, wherein the recommended statistical information of the application software comprises the recommendation times of the application software, and the application market number of the application software is statistically recommended as the recommendation times of the application software;

and the recommending module is used for generating a recommended application list according to the recommended statistical information of the application software and displaying the recommended application list on a display interface, wherein the application software in the recommended application list is sorted from high to low according to the recommending times.

2. The application recommendation device of claim 1, wherein the information module is further operable to,

3. The application recommendation device of claim 1 or 2, wherein the recommendation module is further to,

4. The application recommendation device of claim 3, wherein the application recommendation device further comprises:

5. The application recommendation device of claim 4, wherein the application recommendation device further comprises:

6. An application recommendation method, characterized in that the application recommendation method comprises the following steps:

receiving an application recommendation instruction;

acquiring recommended statistical information of recommended application software according to recommended application information of each application market in a pre-configured database based on the application recommendation instruction, wherein the recommended statistical information of the application software comprises the recommendation times of the application software, and the application market number for recommending the application software is counted and used as the recommendation times of the application software;

and generating a recommended application list according to the recommended statistical information of each application software, and displaying the recommended application list on a display interface, wherein the application software in the recommended application list is sorted from high to low according to the recommended times.

7. The application recommendation method of claim 6, wherein the step of obtaining recommendation statistical information of each recommended application software according to the recommended application information of each application market in a pre-configured database based on the application recommendation instruction comprises:

8. The application recommendation method according to claim 6 or 7, wherein the step of generating a recommended application list according to the recommendation statistical information of each application software and displaying the recommended application list on a display interface comprises:

9. The application recommendation method according to claim 8, wherein after the step of generating a recommended application list according to the recommendation statistical information of each application software and displaying the recommended application list on a display interface, the method further comprises:

10. The application recommendation method of claim 9, wherein after the steps of querying the database, obtaining information on each application market recommending the target application software, generating a recommendation market list, and displaying in the display interface, further comprising: