CN116204394A

CN116204394A - Information processing method, intelligent terminal and storage medium

Info

Publication number: CN116204394A
Application number: CN202211732240.1A
Authority: CN
Inventors: 雷占清
Original assignee: Shenzhen Transsion Holdings Co Ltd
Current assignee: Shenzhen Transsion Holdings Co Ltd
Priority date: 2022-12-30
Filing date: 2022-12-30
Publication date: 2023-06-02

Abstract

The application provides an information processing method, an intelligent terminal and a storage medium. The method comprises the following steps: acquiring or confirming an application set according to the processing information in response to acquiring the processing information; in response to acquiring at least one processing dimension, synthesizing the at least one processing dimension for analyzing each candidate application in the set of applications; and outputting the analysis result. The method and the device can allow the user to analyze according to the comprehensive multiple dimensions personalized according to actual demands, and improve the intuitiveness of application contrast analysis interaction.

Description

Information processing method, intelligent terminal and storage medium

Technical Field

The present disclosure relates to the field of information processing technologies, and in particular, to an information processing method, an intelligent terminal, and a storage medium.

Background

With the vigorous development of electronic devices, intelligent terminals such as mobile phones and the like can be provided with hundreds of applications (application programs), such as game APP, chat APP, information APP, shopping APP and the like, in order to intuitively recommend each APP to a user, application stores generally provide application ranking lists without dimension.

In the process of designing and implementing the present application, the inventors found that at least the following problems exist: the existing application ranking list ranks applications only according to a single dimension, namely the ranking dimension is single and fixed, the application ranking cannot be comprehensively carried out in multiple dimensions according to the actual demands of users, and interaction of application comparison analysis in the ranking list is not visual enough.

The foregoing description is provided for general background information and does not necessarily constitute prior art.

Disclosure of Invention

Aiming at the technical problems, the application provides an information processing method, an intelligent terminal and a storage medium, which are used for solving various problems that the prior ranking dimension is single and fixed, and the interaction of application contrast analysis caused by the single and fixed ranking dimension is not intuitive.

The information processing method provided by the application comprises the following steps:

s11, acquiring or confirming an application set according to processing information in response to acquiring the processing information;

s12, responding to the acquisition of at least one processing dimension, and integrating the at least one processing dimension to analyze each candidate application in the application set;

s13, outputting the analysis result.

Optionally, the step S11 includes:

responding to input processing information, and outputting a target application obtained according to the processing information;

and acquiring an application set with the same classification attribute as the target application from an application library.

Optionally, the processing dimension includes at least one of: liveness, installed capacity, number of active installations, number of uninstallations, traffic, viscosity, pull-up capacity, revenue.

Optionally, the method further comprises:

Responding to a first preset operation of at least one candidate application in the application set, and acquiring or determining a first target application;

and outputting analysis results of the first target application in each processing dimension.

Optionally, the method further comprises:

responding to a second preset operation, and acquiring or determining a second target application;

acquiring or determining a target processing dimension according to the second target application;

the target processing dimension is marked as a preferred processing dimension.

Optionally, the second preset operation includes a download operation and/or a retrieve operation.

Optionally, the method further comprises: in response to acquiring the plurality of bid applications, an analysis result of the plurality of bid applications in the at least one processing dimension is acquired or determined.

Optionally, the expression form of the analysis result includes at least one of the following: scoring, high-end order labels, time information last used.

The application also provides an intelligent terminal, including: the information processing system comprises a memory and a processor, wherein the memory stores a program which, when executed by the processor, implements the steps of any one of the information processing methods.

The present application also provides a storage medium storing a computer program which, when executed by a processor, implements the steps of any one of the information processing methods described above.

As described above, the application ranking method and the application ranking device can allow the user to rank the applications according to the comprehensive multiple dimensions personalized according to actual demands, and improves intuitiveness of application comparison analysis interaction.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application. In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.

Fig. 1 is a schematic hardware structure diagram of an intelligent terminal implementing various embodiments of the present application;

fig. 2 is a schematic diagram of a communication network system according to an embodiment of the present application;

fig. 3 is a flow chart of a first information processing method according to an embodiment of the present application;

fig. 4 is an interface operation schematic diagram for acquiring an application set according to an embodiment of the present application;

FIG. 5a is an interface diagram of a first analysis result according to an embodiment of the present disclosure;

FIG. 5b is an interface diagram of a second analysis result according to an embodiment of the present disclosure;

FIG. 5c is an interface diagram of a third analysis result according to an embodiment of the present application;

FIG. 5d is an interface diagram of a fourth analysis result according to an embodiment of the present disclosure;

fig. 6 is a flow chart of a second information processing method according to an embodiment of the present application;

fig. 7a is a schematic diagram illustrating the execution of a first preset operation according to an embodiment of the present application;

fig. 7b is a schematic diagram illustrating the execution of a second first preset operation according to an embodiment of the present application;

fig. 7c is a schematic diagram illustrating the execution of a third first preset operation according to an embodiment of the present application;

fig. 8 is an interface schematic diagram for obtaining ranking information of a first target application in each processing dimension according to an embodiment of the present application;

fig. 9 is a flowchart of a third information processing method according to an embodiment of the present application;

FIG. 10 is a schematic diagram of an interface for acquiring preferred processing dimensions according to an embodiment of the present application;

fig. 11 is a flowchart of a fourth information processing method according to an embodiment of the present application;

FIG. 12 is a schematic diagram of an interface for adding a bid application for each processing dimension according to an embodiment of the present application;

Fig. 13 is an interface schematic diagram of a selected bid application according to an embodiment of the present application.

The realization, functional characteristics and advantages of the present application will be further described with reference to the embodiments, referring to the attached drawings. Specific embodiments thereof have been shown by way of example in the drawings and will herein be described in more detail. These drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments.

Detailed Description

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.

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, the element defined by the phrase "comprising one … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element, and furthermore, elements having the same name in different embodiments of the present application may have the same meaning or may have different meanings, a particular meaning of which is to be determined by its interpretation in this particular embodiment or by further combining the context of this particular embodiment.

It should be understood that although the terms first, second, third, etc. may be used herein to describe various information, these information should not be limited by these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope herein. The word "if" as used herein may be interpreted as "at … …" or "at … …" or "responsive to a determination", depending on the context. Furthermore, as used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context indicates otherwise. It will be further understood that the terms "comprises," "comprising," "includes," and/or "including" specify the presence of stated features, steps, operations, elements, components, items, categories, and/or groups, but do not preclude the presence, presence or addition of one or more other features, steps, operations, elements, components, items, categories, and/or groups. The terms "or," "and/or," "including at least one of," and the like, as used herein, may be construed as inclusive, or meaning any one or any combination. For example, "including at least one of: A. b, C "means" any one of the following: a, A is as follows; b, a step of preparing a composite material; c, performing operation; a and B; a and C; b and C; a and B and C ", again as examples," A, B or C "or" A, B and/or C "means" any of the following: a, A is as follows; b, a step of preparing a composite material; c, performing operation; a and B; a and C; b and C; a and B and C). An exception to this definition will occur only when a combination of elements, functions, steps or operations are in some way inherently mutually exclusive.

It should be understood that, although the steps in the flowcharts in the embodiments of the present application are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the figures may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily occurring in sequence, but may be performed alternately or alternately with other steps or at least a portion of the other steps or stages.

The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrase "if determined" or "if detected (stated condition or event)" may be interpreted as "when determined" or "in response to determination" or "when detected (stated condition or event)" or "in response to detection (stated condition or event), depending on the context.

It should be noted that, in this document, step numbers such as S11 and S12 are adopted, and the purpose of the present invention is to more clearly and briefly describe the corresponding content, and not to constitute a substantial limitation on the sequence, and those skilled in the art may execute S12 first and then execute S11 when implementing the present invention, which is within the scope of protection of the present application.

It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.

In the following description, suffixes such as "module", "component", or "unit" for representing elements are used only for facilitating the description of the present application, and are not of specific significance per se. Thus, "module," "component," or "unit" may be used in combination.

The terminal may be implemented in various forms. For example, terminals described in the present application may include mobile terminals such as cell phones, tablet computers, notebook computers, palm computers, personal digital assistants (Personal Digital Assistant, PDA), portable media players (Portable Media Player, PMP), navigation devices, wearable devices, smart bracelets, pedometers, and stationary terminals such as digital TVs, desktop computers, and the like.

The following description will be given taking a mobile terminal as an example, and those skilled in the art will understand that the configuration according to the embodiment of the present application can be applied to a fixed type terminal in addition to elements particularly used for a moving purpose.

Referring to fig. 1, which is a schematic hardware structure of an intelligent terminal for implementing various embodiments of the present application, the intelligent terminal 100 may include: an RF (Radio Frequency) unit 101, a WiFi module 102, an audio output unit 103, an a/V (audio/video) input unit 104, a sensor 105, a display unit 106, a user input unit 107, an interface unit 108, a memory 109, a processor 110, and a power supply 111. It will be appreciated by those skilled in the art that the configuration of the intelligent terminal shown in fig. 1 is not limiting of the intelligent terminal, and the intelligent terminal may include more or less components than those illustrated, or may combine certain components, or may have a different arrangement of components.

The following describes the components of the intelligent terminal in detail with reference to fig. 1:

the radio frequency unit 101 may be used for receiving and transmitting signals during the information receiving or communication process, specifically, after receiving downlink information of the base station, processing the downlink information by the processor 110; and, the uplink data is transmitted to the base station. Typically, the radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 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, GSM (Global System of Mobile communication, global system for mobile communications), GPRS (General Packet Radio Service ), CDMA2000 (Code Division Multiple Access, 2000, CDMA 2000), WCDMA (Wideband Code Division Multiple Access ), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access, time Division synchronous code Division multiple access), FDD-LTE (Frequency Division Duplexing-Long Term Evolution, frequency Division duplex long term evolution), TDD-LTE (Time Division Duplexing-Long Term Evolution, time Division duplex long term evolution), and 5G, among others.

WiFi belongs to a short-distance wireless transmission technology, and the intelligent terminal can help a user to send and receive emails, browse webpages, access streaming media and the like through the WiFi module 102, so that wireless broadband Internet access is provided for the user. Although fig. 1 shows a WiFi module 102, it is understood that it does not belong to the essential constitution of the intelligent terminal, and can be omitted entirely as required within the scope of not changing the essence of the invention.

The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the intelligent terminal 100 is in a call signal reception mode, a talk mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output (e.g., a call signal reception sound, a message reception sound, etc.) related to a specific function performed by the smart terminal 100. The audio output unit 103 may include a speaker, a buzzer, and the like.

The a/V input unit 104 is used to receive an audio or video signal. The a/V input unit 104 may include a graphics processor (Graphics Processing Unit, GPU) 1041 and a microphone 1042, the graphics processor 1041 processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphics processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 can receive sound (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, and the like, and can process such sound into audio data. The processed audio (voice) data may be converted into a format output that can be transmitted to the mobile communication base station via the radio frequency unit 101 in the case of a telephone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting the audio signal.

The intelligent terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Optionally, the light sensor includes an ambient light sensor and a proximity sensor, optionally, the ambient light sensor may adjust the brightness of the display panel 1061 according to the brightness of ambient light, and the proximity sensor may turn off the display panel 1061 and/or the backlight when the smart terminal 100 moves to the ear. As one of the motion sensors, the accelerometer sensor can detect the acceleration in all directions (generally three axes), and can detect the gravity and direction when stationary, and can be used for applications of recognizing the gesture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and knocking), and the like; as for other sensors such as fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc. that may also be configured in the mobile phone, the detailed description thereof will be omitted.

The display unit 106 is used to display information input by a user or information provided to the user. The display unit 106 may include a display panel 1061, and the display panel 1061 may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 107 may be used to receive input numeric or character information and to generate key signal inputs related to user settings and function control of the intelligent terminal. Alternatively, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect touch operations thereon or thereabout by a user (e.g., operations of the user on the touch panel 1071 or thereabout by using any suitable object or accessory such as a finger, a stylus, etc.) and drive the corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. Optionally, the touch detection device detects the touch azimuth of the user, detects a signal brought by touch operation, and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device, converts it into touch point coordinates, and sends the touch point coordinates to the processor 110, and can receive and execute commands sent from the processor 110. Further, the touch panel 1071 may be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. The user input unit 107 may include other input devices 1072 in addition to the touch panel 1071. Alternatively, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, mouse, joystick, etc., as specifically not limited herein.

Alternatively, the touch panel 1071 may overlay the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or thereabout, the touch panel 1071 is transferred to the processor 110 to determine the type of touch event, and the processor 110 then provides a corresponding visual output on the display panel 1061 according to the type of touch event. Although in fig. 1, the touch panel 1071 and the display panel 1061 are two independent components for implementing the input and output functions of the smart terminal, in some embodiments, the touch panel 1071 may be integrated with the display panel 1061 to implement the input and output functions of the smart terminal, which is not limited herein.

The interface unit 108 serves as an interface through which at least one external device can be connected with the intelligent terminal 100. For example, the external devices may include a wired or wireless headset port, an external power (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from an external device and transmit the received input to one or more elements within the smart terminal 100 or may be used to transmit data between the smart terminal 100 and an external device.

Memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a storage program area and a storage data area, and alternatively, the storage program area may store an operating system, an application program required for at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, memory 109 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 processor 110 is a control center of the intelligent terminal, connects various parts of the entire intelligent terminal using various interfaces and lines, and performs various functions of the intelligent terminal and processes data by running or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the intelligent terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor and a modem processor, the application processor optionally handling mainly an operating system, a user interface, an application program, etc., the modem processor handling mainly wireless communication. It will be appreciated that the modem processor described above may not be integrated into the processor 110.

The intelligent terminal 100 may further include a power source 111 (such as a battery) for supplying power to the respective components, and preferably, the power source 111 may be logically connected to the processor 110 through a power management system, so as to implement functions of managing charging, discharging, power consumption management, etc. through the power management system.

Although not shown in fig. 1, the intelligent terminal 100 may further include a bluetooth module or the like, which is not described herein.

In order to facilitate understanding of the embodiments of the present application, a communication network system on which the intelligent terminal of the present application is based will be described below.

Referring to fig. 2, fig. 2 is a schematic diagram of a communication network system provided in the embodiment of the present application, where the communication network system is an LTE system of a general mobile communication technology, and the LTE system includes a UE (User Equipment) 201, an e-UTRAN (Evolved UMTS Terrestrial Radio Access Network ) 202, an epc (Evolved Packet Core, evolved packet core) 203, and an IP service 204 of an operator that are sequentially connected in communication.

Alternatively, the UE201 may be the terminal 100 described above, which is not described here again.

The E-UTRAN202 includes eNodeB2021 and other eNodeB2022, etc. Alternatively, the eNodeB2021 may connect with other enodebs 2022 over a backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide access for the UE201 to the EPC 203.

EPC203 may include MME (Mobility Management Entity ) 2031, hss (Home Subscriber Server, home subscriber server) 2032, other MMEs 2033, SGW (Serving Gate Way) 2034, pgw (PDN Gate Way) 2035 and PCRF (Policy and Charging Rules Function, policy and tariff function entity) 2036, and so on. Optionally, MME2031 is a control node that handles signaling between UE201 and EPC203, providing bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location registers (not shown) and to hold user specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034 and PGW2035 may provide IP address allocation and other functions for UE201, PCRF2036 is a policy and charging control policy decision point for traffic data flows and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).

IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem ), or other IP services, etc.

Although the LTE system is described above as an example, it should be understood by those skilled in the art that the present application is not limited to LTE systems, but may be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems (e.g., 5G), etc.

Based on the intelligent terminal hardware structure and the communication network system, various embodiments of the application are provided.

Example 1

Fig. 3 is a schematic flow chart of an information processing method according to an embodiment of the present application. The information processing method includes steps S11 to S13 that may be used at least for ranking applications according to one or more processing dimensions, optionally the conditions under which existing application stores rank applications and the specific manifestations described below in the present application. It should be understood that throughout this application, so-called applications are not limited to APP of an application store, but may include other applications that are not owned or already owned (including installed, and not installed but shared with other devices) by the terminal, including but not limited to at least one of: the intelligent terminal system displays and installs the APP icon and the APP icon which is set by user definition; widget (i.e., widget) that can be used to make up for the inability of a host application (e.g., APP on a host interface) to timely display data of interest to a user; shortcut function icons of the application program, which may be embodied as icons, symbols, etc. similar to APP icons, which are displayed on the desktop; the icon of the media file can be the file itself or a shortcut icon, a symbol and the like for linking the content of the file; even folders, such as ordinary folders, so-called large folders.

For ease of illustration and understanding, the present application is described below and in the accompanying figures by way of example only with respect to APP for an application store, and it should be understood that this is not limited to the specific form of application described.

In the scenario of application ranking, the information processing may be at least understood as comprehensively analyzing one or more processing dimensions to obtain the ranking of each application, which may include ranking information of each application in each processing dimension, ranking information of some or all applications after integrating all processing dimensions, and a logic and/or visual processing manner associated with the processing dimensions and ranking information, such as a manner of analyzing and obtaining the processing dimensions, and an executable preset operation obtained according to some or all of the processing dimensions.

S11, in response to acquiring the processing information, acquiring or confirming the application set according to the processing information.

The manner in which the process information is obtained may depend on the application scenario adaptation. For example, the user may input process information in a search field of an application store; in the information processing scenario for a desktop application, the user may input processing information in an application search field of an interface such as a negative one-screen.

Optionally, the specific content of the resulting application set is also different. For example, as shown in fig. 4, in response to input processing information, a target application obtained from the processing information is output; and acquiring an application set with the same classification attribute as the target application from the application library. If the applications obtained from the processing information include a plurality of applications, at least one of the applications is selected as a target application in response to a selection operation by the user.

For example, referring to fig. 4, after the user selects "microblog" as the target application according to the processing information input by the user in the application store, the application store may pop up one or more search results according to the program setting of the operating system of the intelligent terminal. For the situation of popping up a search result, namely popping up only an interface of the 'microblog' application, a user can click on the 'microblog' application on the interface, the intelligent terminal automatically identifies the classification attribute of the 'microblog' application, then an application set which is the same as the classification attribute of the 'microblog' is selected from an application library (namely an application store), generally speaking, the classification attribute of the 'microblog' is a social media platform, and applications with the same classification attribute in the application library can comprise a 'facebook', 'twitter', 'redbook' and 'tremble sound', and the four applications form the application set. And under the condition of popping up a plurality of search results, the user can select a plurality of application sets with the same classification attribute as the microblog from the application sets by executing a sliding-up or sliding-down operation on the interface, or the intelligent terminal automatically identifies the classification attribute of the microblog application, and the popped up plurality of search results are the application sets with the same classification attribute as the microblog.

In the above scenario, the processing information and the selection operation of the user are optionally regarded as processing dimensions, and the application set with the same classification attribute is the application with the highest ranking under the processing dimensions.

In other scenarios, the application set may be all applications that are derived directly from the process information. That is, the user does not join the custom processing dimension in S11.

Optionally, if the number of applications in the application set does not reach the preset number in S11, the application set with a smaller number is difficult to analyze at least one processing dimension described below, or the user can directly and autonomously determine the analysis result when the number of applications in the application set is smaller, the following steps S12 and S13 of the information processing can be stopped, and optionally a dialog box is popped up on the interface of the current application set to prompt the user to reenter the processing information or reselect. In this embodiment, the analysis result may be a ranking result, and in other embodiments, other analysis results may also be preset according to actual requirements, which is not illustrated in this embodiment.

S12, analyzing each candidate application in the application set by integrating at least one processing dimension in response to the acquisition of the at least one processing dimension.

S13, outputting the analysis result.

The processing dimension may be obtained by user-defined input, or by a user selecting among a plurality of processing dimension options provided by the intelligent terminal.

And responding to at least one processing dimension defined by a user, and comprehensively modeling the at least one processing dimension to output comprehensive comparison results of all the applications in the application set, namely analysis results. The mathematical algorithm and/or mathematical model used for the comprehensive modeling may refer to the existing search cases, and will not be described herein.

The manifestations of the analysis result include, but are not limited to, at least one of the following: scoring, sequential labels from high to low (e.g.,

arabic numerals

1,2, 3.), time information last used. For example, referring to fig. 5a to 5d, the analysis result is presented in a scoring form, and the top n-bit application with the highest scoring score is selected from the analysis result as a candidate application, which can allow the user to perform application ranking according to the comprehensive multiple dimensions personalized according to the actual requirements, so as to improve the intuitiveness of application contrast analysis interaction.

For a scene with high-end sequential labels, the ranking may be represented by the sequence numbers 1-m, with the lower the ranking, the greater the sequence number value, optionally considering that the scoring ranks the applications in the application set sequentially in order from high to low.

The last time the application was used may enable the user to obtain the last time each candidate application was used, to provide the user with a reference, for example, as to whether the candidate application was downloaded this time.

In S12 and S13 of the present application, the so-called analysis result may include at least one of the following:

1. as shown in fig. 5a, the scoring (i.e. analysis result) of each candidate application in each processing dimension, the user can intuitively know the ranking situation of all candidate applications in all processing dimensions, and the reference basis for the user to perform the preset operation according to the ranking situation is more detailed and comprehensive.

2. As shown in fig. 5 b-5 d, each candidate application integrates one score (i.e., the analysis result) output for all processing dimensions, i.e., a single candidate application ultimately outputs only one score. For example, the scoring averages for all processing dimensions may be applied to individual candidates as the scoring of the final output. The user cannot intuitively learn the scoring results of a candidate application in each processing dimension. In this way, the user's effort can be saved.

Alternatively, the intelligent terminal may display an "analysis results for each processing dimension" option for each candidate application on the interface as shown in fig. 5c, and the user may jump to another interface by clicking on each candidate application, optionally the option, to display the scoring results for the application in each processing dimension, and optionally the ranking (e.g., what number to rank in each dimension).

Alternatively, the intelligent terminal may display an "individual processing dimension analysis results" option for all candidate applications on the interface as shown in fig. 5d, and the user may jump to the interface as shown in fig. 5a by clicking on the individual candidate applications, optionally the option.

The processing dimension includes, but is not limited to, at least one of: liveness, installed capacity, number of active installations, number of uninstallations, traffic, viscosity, pull-up capacity, revenue.

Optionally, the activity, the installed amount, the active installation times and the uninstallation times can be suitable for individual users, and the main purpose is to provide references for users to choose suitable applications; traffic, viscosity, pull-up capability, and revenue may be adapted for commercial users, primarily for the purpose of providing market research information.

Whether for an individual user or a merchant user, the present application may provide an application leaderboard, such as that shown in FIG. 4, that has the same classification attributes as the target application based on the processing dimensions selected by the user.

Example 2

On the basis of the foregoing description of embodiment 1, but differently, this embodiment 2 further describes that the user may be allowed to continue to select a plurality of processing dimensions according to the analysis result of S13, and compares ranking information obtained according to the continued selection of the plurality of processing dimensions with the analysis result of S13. In other words, the processing dimensions are not acquired at the same stage, the analysis is performed in a plurality of stages, and the analysis result obtained by inputting the processing dimensions last is the analysis result output last in embodiment 2.

As shown in fig. 6, the information processing method of the present embodiment 2 includes the following S11 to S142.

S13, outputting the analysis result.

S141, responding to a first preset operation of at least one candidate application in the application set, and acquiring or determining a first target application.

S142, outputting analysis results of the first target application in each processing dimension.

The first preset operation is a behavior and/or instruction made for some or all of the applications in the application set. By part or all applications may be considered as said at least one candidate application, i.e. not all applications in the application set are candidate applications in a possible implementation. The application is not limited by the criteria or the judgment manner of the candidate application, and for example, a plurality of applications with the top ranking (for example, highest scoring) may be selected as candidate applications according to the analysis result.

The specific form of the first preset operation is not limited in this application. Alternatively, the first preset operation is a single operation event, which is not necessarily an action or an instruction, but may be a plurality of operations, and there is no event for performing other functions between the timings of the plurality of operations. For example, a single operation is a click-by-click of multiple candidate applications, or a continuous touch trajectory through the multiple candidate applications, or multiple segmented touch trajectories within a short period of time through the multiple candidate applications. The selection of the first target application can be completed only through the single operation aiming at a plurality of candidate applications, and the operation is simple and convenient.

The first preset operation may continue to input processing dimensions other than those described in the preceding step S12, in addition to selecting candidate applications from the application set. In other words, the first preset operation may also be regarded as a manner of acquiring the processing dimension, alternatively, the processing dimension acquired by the first preset operation is referred to as a second processing dimension, and at least one processing dimension in the foregoing step S12 is referred to as a first processing dimension. Through the second processing dimension, the application with the top n digits in the ranking can be selected from the analysis result of the step S13 to serve as a candidate application, and the comparison result of each candidate application and the first target application based on the second processing dimension can be displayed according to the other processing dimensions except the first processing dimension to serve as the second processing dimension. Based on the preferred application obtained based on the processing dimension selected by the user (i.e. the first processing dimension), the method and the device further provide the comparison result with other processing dimensions (i.e. the second processing dimension) for the user, which are more beneficial for the user to make the final judgment, and can greatly improve the user experience.

The specific form of executing the first preset operation is not limited herein. For example, referring to the scenario shown in fig. 7a, a "continue filtering" option is displayed on an interface of an analysis result obtained in the first processing dimension, and the user can jump to another interface by clicking the option, where the other interface displays an input box and/or a plurality of options of the second filtering dimension, so as to obtain the second filtering dimension determined by the user; or, on the interface of the analysis result obtained by the first processing dimension shown in fig. 7b, directly displaying the input frame and/or the selection items of the plurality of second screening dimensions; alternatively, as shown in fig. 7c, for the interface of the analysis result obtained in the first processing dimension, the input frame and/or the selection items of the plurality of second filtering dimensions may be hidden, for example, hidden on any one of the top, bottom, left and right frames of the interface, and the user may display the port on the interface through, for example, clicking, sliding along the frame toward the center of the interface, so that the second processing dimension may be obtained through the user operation.

Still described in the foregoing application set of embodiment 1, after the user selects "microblog" as the processing information for retrieval, the resulting application set includes "facebook", "twitter", "reddish book", "tremble sound". And combining the scenes shown in fig. 5b and fig. 7a to 7c, modeling according to the two second processing dimensions of active installation of a user and unloading of the user, and outputting comprehensive analysis results obtained by each candidate application in the first target application and the application set based on the second processing dimensions through model calculation.

For example, referring first to fig. 5b, the final analysis result in the above example 1 is that the score of "facebook" is 70 score, the score of "twitter" is 75 score, the score of "redbook" is 68 score, the score of "tremble" is 80 score, the score of "microblog" is 78 score, and the analysis result is output. The first three bits and the first target application, namely "tremble", "twitter" and "microblog", are obtained from the analysis result, and then the three candidate applications are compared by taking liveness as a second processing dimension, and ranking information described in S142 is output in the same way, as shown in fig. 8, the score of "tremble" is 90, the score of "twitter" is 85, and the score of "microblog" is 80, so that more selected references are given to the user.

Example 3

On the basis of the description of the foregoing embodiment 1 or embodiment 2, but differently, this embodiment 3 further describes that the preferred processing dimension is recommended to the user according to the analysis result of the foregoing S13 or the analysis result of the foregoing S142, so as to facilitate, for example, the subsequent download and retrieval. This embodiment 3 is exemplarily described based on the ranking information of S142 described above. It should be appreciated that the object of the present embodiment 3 can also be directly combined with the analysis result of the foregoing S13 to determine the preferred processing dimension.

As shown in fig. 9, the information processing method of the present embodiment 3 includes the following S11 to S153.

S13, outputting the analysis result.

And S151, responding to a second preset operation, and acquiring or determining a second target application.

And S152, acquiring or determining a target processing dimension according to the second target application.

S153, marking the target processing dimension as a preferred processing dimension.

The second preset operation is selected from the applications already obtained (for example, the candidate application determined in S12, or the first target application determined in S142) and the ranking list thereof as the second target application. Based on the second preset operation, the user performs the second preset operation according to the own needs, so that at least one processing dimension of the second target application can be used as a preferential reference for the user to select the application later.

The specific form of performing the second preset operation is not limited herein. For example, at least one of a download operation and a retrieval operation is included.

Still taking the foregoing application set of embodiment 2 as an example, the "facebook", "twitter", "reddish book", "tremble", the analysis result shown in fig. 5b, and the ranking information shown in fig. 8, the ranking information obtained through the first processing dimension and the second processing dimension is scored as 90 points for "tremble", 85 points for "twitter", and 80 points for "microblog".

As shown in fig. 10, if the user finally selects "tremble" and downloads (i.e. performs the second preset operation), the score of each processing dimension (including the first processing dimension and the second processing dimension, i.e. the activity, the installed amount, the active installation and the uninstallation) of the "tremble" is obtained, for example, the score of the "tremble" is 90, 85, 80 and 75 respectively, so that the application with high activity favored by the user, i.e. the target processing dimension is the activity, the activity is marked as the preferred processing dimension, and the application with high activity is preferentially pushed when the user selects (e.g. downloads and searches) next time.

The application that the user selects to push preferentially next time may be an application having the same classification attribute as the second target application determined by the second preset operation, or may include an application having a different classification attribute.

It should be understood that the present application may also select multiple processing dimensions as the preferred processing dimensions, such as the first few processing dimensions that score the highest, the liveness of 90 points and the installed quantity of 85 points.

Example 4

Based on the description of any one of the foregoing embodiments, in this embodiment 4, a new application may be added to the obtained analysis result (for example, a ranking list of each dimension), and the newly added application is used as a bid application, and compared with each application in the corresponding ranking list, so as to provide a reference for the user to meet the requirements more.

Based on the scheme of embodiment 1, as shown in fig. 11, the information processing method of the present embodiment 4 includes the following S11 to S131.

S13, outputting the analysis result.

S131, in response to acquiring the plurality of bid applications, acquiring or determining analysis results of the plurality of bid applications in at least one processing dimension.

Optionally, the bid application is one of the criteria for user evaluation, and ranking the bid application in a leaderboard of a certain processing dimension is utilized to provide a reference for the user. For example, candidate applications ranked lower than the bid application are not referenced for the next selection by the user, or are not the first target application described in embodiment 2 above, or are not the second target application described in embodiment 3 above.

It should be appreciated that the bidding application and the application in the leaderboard that added the bidding application are analyzed using the same one processing dimension, e.g., in the liveness leaderboard, the bidding application and all applications in the liveness leaderboard are ranked in the processing dimension of liveness.

In one possible implementation, referring to FIG. 12, a user may select a leaderboard for a processing dimension on the interface by clicking on the leaderboard, and then add one or more bid applications to the leaderboard for the processing dimension, such as by clicking on "+". Alternatively, the user may enter the application name of the bid application to be added through an input box on the interface and then click on the search, so that one or more bid applications may be added from the search results (which may be displayed in a list under the search box) by clicking on "+".

Referring to fig. 13, after adding the bid application to the processing dimension, the intelligent terminal switches to another interface to display the selected bid application, and the user can click on "application detail comparison" to obtain the ranking of the bid application in the ranking list of the processing dimension.

Optionally, with continued reference to fig. 13, the intelligent terminal provides an editing option for the selected bid application, for example, the user clicks the "x" option to delete the selected application from the selected bid application, so that the selected application is no longer used as the bid application; alternatively, the user may delete all of the bid applications by clicking on the "one-click" option on the interface, optionally rejoining the bid application.

The present application also provides a storage medium having a processing program stored thereon, which when executed by a processor, implements the steps of the processing method in any of the above embodiments.

The embodiments of the intelligent terminal and the storage medium provided in the present application may include all technical features of any one of the embodiments of the foregoing processing method, and the expansion and explanation contents of the description are substantially the same as those of each embodiment of the foregoing processing method, which are not repeated herein.

The present embodiments also provide a computer program product comprising computer program code which, when run on a computer, causes the computer to perform the method in the various possible implementations as above.

The embodiments also provide a chip including a memory for storing a computer program and a processor for calling and running the computer program from the memory, so that a device on which the chip is mounted performs the method in the above possible embodiments.

It can be understood that the above scenario is merely an example, and does not constitute a limitation on the application scenario of the technical solution provided in the embodiments of the present application, and the technical solution of the present application may also be applied to other scenarios. For example, as one of ordinary skill in the art can know, with the evolution of the system architecture and the appearance of new service scenarios, the technical solutions provided in the embodiments of the present application are equally applicable to similar technical problems.

The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.

The steps in the method of the embodiment of the application can be sequentially adjusted, combined and deleted according to actual needs.

The units in the device of the embodiment of the application can be combined, divided and pruned according to actual needs.

In this application, the same or similar term concept, technical solution, and/or application scenario description will generally be described in detail only when first appearing, and when repeated later, for brevity, will not generally be repeated, and when understanding the content of the technical solution of the present application, etc., reference may be made to the previous related detailed description thereof for the same or similar term concept, technical solution, and/or application scenario description, etc., which are not described in detail later.

In this application, the descriptions of the embodiments are focused on, and the details or descriptions of one embodiment may be found in the related descriptions of other embodiments.

The technical features of the technical solutions of the present application may be arbitrarily combined, and for brevity of description, all possible combinations of the technical features in the above embodiments are not described, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the present application.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as above, including several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, a controlled terminal, or a network device, etc.) to perform the method of each embodiment of the present application.

In the above embodiments, it 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 the computer program instructions are loaded and executed on a computer, the processes or functions in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable devices. The computer instructions may be stored in a storage medium or transmitted from one storage medium to another storage medium, for example, from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line), or wireless (e.g., infrared, wireless, microwave, etc.) means. The storage media may be any available media that can be accessed by a computer or a data storage device such as a server, data center, or the like that contains an integration of one or more available media. Usable media may be magnetic media (e.g., floppy disks, storage disks, magnetic tape), optical media (e.g., DVD), or semiconductor media (e.g., solid State Disk (SSD)), among others.

The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the claims, and all equivalent structures or equivalent processes using the descriptions and drawings of the present application, or direct or indirect application in other related technical fields are included in the scope of the claims of the present application.

Claims

1. An information processing method, characterized by comprising:

s13, outputting the analysis result.

2. The information processing method according to claim 1, wherein the step S11 includes:

3. The information processing method according to claim 1, wherein the processing dimension includes at least one of: liveness, installed capacity, number of active installations, number of uninstallations, traffic, viscosity, pull-up capacity, revenue.

4. The information processing method according to claim 1, characterized in that the method further comprises:

5. The information processing method according to any one of claims 1 to 4, characterized in that the method further comprises:

the target processing dimension is marked as a preferred processing dimension.

6. The information processing method according to claim 5, wherein the second preset operation includes a download operation and/or a retrieval operation.

7. The information processing method according to any one of claims 1 to 4, characterized in that the method further comprises:

in response to acquiring the plurality of bid applications, an analysis result of the plurality of bid applications in the at least one processing dimension is acquired or determined.

8. The information processing method according to any one of claims 1 to 4, characterized in that the expression form of the analysis result includes at least one of: scoring, high-end order labels, time information last used.

9. An intelligent terminal, characterized by comprising: a memory and a processor, wherein the memory has stored thereon a program which, when executed by the processor, implements the steps of the processing method according to any of claims 1 to 8.

10. A storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the processing method according to any of claims 1 to 8.