Recommendation method, device and apparatus for financial data

Abstract

The present application provides a method, device and apparatus for recommending financial data, and relates to the technical field of recommendation systems. The method comprises: first, according to the financial data information of the financial data to be recommended, determining and acquiring the user financial data of the user corresponding to the financial data to be recommended, and then, according to the acquired user financial data of each user and the preset screening conditions, determining the user who meets the screening conditions, wherein the screening conditions include multiple financial data condition information; and recommending the financial data to be recommended to the user who meets the screening conditions. Through the above process, personalized recommendation of financial data to users is achieved, and financial data that meets the user's needs can be recommended to users.

Description

Technical Field

[0001] The present application relates to the technical field of recommendation systems, and in particular to a method, device and apparatus for recommending financial data. Background Art

[0002] In order to meet the users' increasingly personalized and diversified financial service needs, financial data can be recommended to users. Financial data can be a kind of financial rights, such as points, preferential activities, etc., or some financial information.

[0003] In the prior art, when financial data is recommended to users, the financial data is recommended to each user manually.

[0004] However, the existing technology recommends financial data for each user, and does not provide a method for recommending financial data to users in a personalized manner; the financial data recommended in the existing technology may not necessarily meet the needs of users, and thus a method is urgently needed to recommend financial data suitable for users. Summary of the invention

[0005] The present application provides a financial data recommendation method, apparatus and device for recommending financial data suitable for the user to the user.

[0006] In a first aspect, the present application provides a method for recommending financial data, the method comprising:

[0007] Determining and acquiring user financial data of a user corresponding to the financial data to be recommended according to the financial data information of the financial data to be recommended;

[0008] Determine users meeting the screening conditions based on the acquired user financial data of each user and preset screening conditions, wherein the screening conditions include a plurality of financial data condition information;

[0009] The financial data to be recommended is recommended to users who meet the screening conditions.

[0010] In an optional implementation manner, determining and acquiring user financial data of a user corresponding to the financial data to be recommended according to the financial data information of the financial data to be recommended includes:

[0011] Acquire user financial data of a plurality of users, and extract keywords of the user financial data of each of the plurality of users;

[0012] Extracting keywords of the financial data information;

[0013] A user whose user financial data keywords match the keywords of the financial data information is determined to be a user corresponding to the financial data to be recommended, and user financial data of the user corresponding to the financial data to be recommended is extracted from the user financial data of the multiple users.

[0014] In an optional implementation manner, determining and acquiring user financial data of a user corresponding to the financial data to be recommended according to the financial data information of the financial data to be recommended includes:

[0015] The user financial data of each user is obtained, and the user financial data of each user and the financial data information are input into a preset recognition model to obtain the user financial data of the user corresponding to the financial data to be recommended.

[0016] In an optional embodiment, the method further includes:

[0017] Acquire user financial data of each user from a plurality of users, and extract financial data information of each financial data from the user financial data;

[0018] The screening condition is determined according to the extracted financial data information of each financial data.

[0019] In an optional embodiment, the method further includes:

[0020] In response to the user's operation information on the preset interface, the operation information is used to indicate the financial data condition information and generate the screening condition.

[0021] In an optional implementation manner, each piece of financial data condition information includes a data value of the financial data condition and a screening time of the financial data condition.

[0022] In an optional implementation manner, recommending the financial data to be recommended to the user who meets the screening condition includes:

[0023] Obtain the rights and interests data to be displayed of the financial data to be recommended, and send the rights and interests data to be displayed to the terminal device of the user who meets the screening condition.

[0024] In an optional embodiment, the method further includes:

[0025] If no user meeting the screening condition is obtained, then after a preset time, updated user financial data of the user corresponding to the financial data to be recommended is re-obtained;

[0026] According to the updated user financial data of the user corresponding to the financial data to be recommended and the screening condition, a current user who meets the screening condition is determined, and the financial data to be recommended is recommended to the current user who meets the screening condition.

[0027] In a second aspect, the present application provides a financial data recommendation device, the device comprising:

[0028] A first acquisition unit, configured to determine and acquire user financial data of a user corresponding to the financial data to be recommended according to the financial data information of the financial data to be recommended;

[0029] A first determining unit, configured to determine users meeting the screening conditions based on the acquired user financial data of each user and a preset screening condition, wherein the screening condition includes a plurality of financial data condition information;

[0030] The first processing unit is used to recommend the financial data to be recommended to users who meet the screening conditions.

[0031] In an optional implementation manner, the first acquiring unit includes:

[0032] A first acquisition subunit, configured to acquire user financial data of a plurality of users and extract keywords of the user financial data of each of the plurality of users;

[0033] A second acquisition subunit, used to extract keywords of the financial data information;

[0034] The first processing sub-unit is used to determine that a user whose user financial data keywords match the keywords of the financial data information is a user corresponding to the financial data to be recommended, and extract the user financial data of the user corresponding to the financial data to be recommended from the user financial data of the multiple users.

[0035] In an optional implementation manner, the first acquiring unit further includes:

[0036] The second processing sub-unit is used to obtain the user financial data of each user, and input the user financial data of each user and the financial data information into a preset recognition model to obtain the user financial data of the user corresponding to the financial data to be recommended.

[0037] In an optional embodiment, the device further comprises:

[0038] a second acquisition unit, configured to acquire user financial data of each user among the plurality of users, and extract financial data information of each financial data in the user financial data;

[0039] The second determining unit is used to determine the screening condition according to the extracted financial data information of each financial data.

[0040] In an optional embodiment, the device further comprises:

[0041] A generating unit is used to generate the screening condition in response to the user's operation information on a preset interface, wherein the operation information is used to indicate the financial data condition information.

[0042] In an optional implementation manner, each piece of financial data condition information includes a data value of the financial data condition and a screening time of the financial data condition.

[0043] In an optional implementation manner, the first processing unit is specifically configured to:

[0044] Obtain the rights and interests data to be displayed of the financial data to be recommended, and send the rights and interests data to be displayed to the terminal device of the user who meets the screening condition.

[0045] In an optional embodiment, the device further comprises:

[0046] A second processing unit, configured to re-acquire updated user financial data of a user corresponding to the financial data to be recommended after a preset time if no user meeting the screening condition is obtained;

[0047] The third processing unit is used to determine the current user who meets the filtering condition based on the updated user financial data of the user corresponding to the financial data to be recommended and the filtering condition, and recommend the financial data to be recommended to the current user who meets the filtering condition.

[0048] In a third aspect, the present application provides an electronic device, the electronic device comprising: a memory, a processor;

[0049] Memory; Memory for storing instructions executable by the processor;

[0050] The processor is configured to execute the method as described in the first aspect.

[0051] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the method described in the first aspect.

[0052] In a fifth aspect, the present application provides a computer program product, including a computer program, which implements the method described in the first aspect when executed by a processor.

[0053] The financial data recommendation method provided by the present application first determines and obtains the user financial data of the user corresponding to the financial data to be recommended based on the financial data information of the financial data to be recommended, and then determines the users who meet the screening conditions based on the obtained user financial data of each user and the preset screening conditions, wherein the screening conditions include multiple financial data condition information; and recommends the financial data to be recommended to the users who meet the screening conditions. Through the above process, an efficient method for recommending financial data to users is provided, which can accurately recommend financial data that meets the needs of users to users, and realizes personalized recommendation of financial data. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0055] Figure 1 A flowchart of a method for recommending financial data provided in an embodiment of the present application;

[0056] Figure 2 A flowchart of another method for recommending financial data provided in an embodiment of the present application;

[0057] Figure 3 A schematic diagram of the structure of a financial data recommendation device provided in an embodiment of the present application;

[0058] Figure 4 A schematic diagram of the structure of another financial data recommendation device provided in an embodiment of the present application;

[0059] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application;

[0060] Figure 6 It is a block diagram of a terminal device provided in an embodiment of the present application.

[0061] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0062] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application. Instead, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the appended claims.

[0063] In order to meet the users' increasingly personalized and diversified financial service needs, financial data can be recommended to users. Financial data can be a kind of financial rights, such as points, preferential activities, etc., or some financial information. Generally speaking, if users want to obtain certain financial feedback rights, they need to meet or complete certain conditions. For example, if they purchase a certain financial product for more than 10,000 yuan and sign a mobile banking contract, users can obtain financial points and other rights.

[0064] In the prior art, when recommending financial data to users, financial data is recommended to each user manually. That is, the method of one case at a time is mainly adopted, that is, for a certain type of financial data information, the user group screening logic and screening conditions are determined, and the compliance judgment is made based on the user's financial data to complete the output of the judgment result.

[0065] However, in the prior art, the screening method used for recommendation needs to be developed separately, which is cumbersome and not flexible enough. The recommended financial data may not necessarily meet the needs of users.

[0066] The financial data recommendation method provided in this application is intended to solve the above technical problems of the prior art.

[0067] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0068] In the technical solution of this application, the collection, storage, use, processing, transmission, provision and disclosure of information such as financial data or user data involved shall comply with the provisions of relevant laws and regulations and shall not violate public order and good morals.

[0069] Figure 1 A flowchart of a method for recommending financial data provided in an embodiment of the present application, such as Figure 1 As shown, the method includes:

[0070] 101. Determine and obtain user financial data of a user corresponding to the financial data to be recommended based on financial data information of the financial data to be recommended.

[0071] For example, when a financial data recommendation is required, the target user group of the financial data needs to be determined, and then the user data of the target user needs to be determined. That is, according to the financial data information of the financial data to be recommended, the users corresponding to the financial data to be recommended are determined, and then the financial data of these users are obtained.

[0072] 102. Determine users meeting the screening conditions based on the acquired user financial data of each user and preset screening conditions, wherein the screening conditions include a plurality of financial data condition information.

[0073] For example, the users corresponding to the financial data to be recommended obtained through preliminary screening may not necessarily meet the requirements of the financial data recommendation, and further screening is required according to the preset screening conditions, that is, based on the user financial data of each user obtained and the preset screening conditions, the users meeting the screening conditions are determined. The screening conditions include multiple financial data condition information, such as evaluation indicators of user data, value ranges of user data meeting the evaluation indicators, etc. The evaluation indicators are standardized evaluation indicators formed by refining and processing the information of the financial data of all users.

[0074] 103. Recommend the financial data to be recommended to the users who meet the screening criteria.

[0075] For example, after selecting qualified users through screening, the financial data to be recommended is recommended to the qualified users, and the users can then perform subsequent processing based on the financial data. The financial data can be a kind of financial rights, such as points, preferential activities, etc., or some financial information.

[0076] In this embodiment, first, according to the financial data information of the financial data to be recommended, the user financial data of the user corresponding to the financial data to be recommended is determined and obtained, and then according to the obtained user financial data of each user and the preset screening conditions, the user meeting the screening conditions is determined, wherein the screening conditions include multiple financial data condition information; and the financial data to be recommended is recommended to the user meeting the screening conditions. Through the above process, personalized recommendation of financial data to users is achieved, and financial data meeting the user's needs can be recommended to users.

[0077] Figure 2 A flowchart of another method for recommending financial data provided in an embodiment of the present application, such as Figure 2 As shown, the method includes:

[0078] 201. Determine and obtain user financial data of a user corresponding to the financial data to be recommended according to financial data information of the financial data to be recommended.

[0079] In one example, step 201 includes the following two implementations:

[0080] The first implementation method is to obtain user financial data of multiple users and extract keywords from the user financial data of each of the multiple users; extract keywords from the financial data information; determine that users whose keywords of the user financial data match the keywords of the financial data information are users corresponding to the financial data to be recommended, and extract the user financial data of the users corresponding to the financial data to be recommended from the user financial data of the multiple users.

[0081] The second implementation method is to obtain the user financial data of each user, and input the user financial data and financial data information of each user into a preset recognition model to obtain the user financial data of the user corresponding to the financial data to be recommended.

[0082] Exemplarily, when a financial data recommendation is required, it is necessary to determine the target user group of the financial data, and then determine the user data of the target user. That is, according to the financial data information of the financial data to be recommended, determine the users corresponding to the financial data information to be recommended, and then obtain the financial data of these users. Among them, there may be two implementation methods for determining the target user group of the financial data and then determining the user data of the target user. The first implementation method is: obtain the user financial data of multiple users, extract the keywords of the user financial data of each user in the multiple users and extract the keywords of the financial data information to be recommended, match the keyword information of the two, determine the user whose keywords of the user financial data match the keywords of the financial data information, and determine that the user corresponding to the financial data to be recommended is the target user, and extract the user financial data corresponding to the financial data to be recommended, that is, the user financial data of the target user from the user financial data of multiple users. The second implementation method is to input the user financial data and financial data information of each user obtained into a preset recognition model, for example, an artificial intelligence model, and obtain the user financial data of the user corresponding to the financial data to be recommended after recognition and extraction by the preset recognition model.

[0083] 202. Obtain user financial data of each user among a plurality of users, and extract financial data information of each financial data in the user financial data.

[0084] Exemplarily, user financial data of each user among multiple users is obtained, and financial data information of each financial data in the user financial data is extracted, where the user financial data may be the user's personal financial data, for example, financial data including the user's financial management data, the user's asset data, the user's financial contract data, and other financial data. Financial data information of each financial data can be extracted through the user's financial data, such as the user's financial management information, the user's asset information, and the user's financial contract information.

[0085] 203. Determine a screening condition based on the extracted financial data information of each financial data.

[0086] Exemplarily, the screening condition is determined according to the category of the financial data information of each extracted financial data. For example, if the extracted financial data information is the asset information of the user, the screening condition may be the asset level; if the extracted financial data information is the financial contract information of the user, the screening condition may be the contract type, the number of contracts, etc., and the same recommendation activity may have multiple screening conditions, and these screening conditions may be freely combined and configured.

[0087] 204. In response to the user's operation information on the preset interface, the operation information is used to indicate the financial data condition information and generate the screening condition.

[0088] In one example, each piece of financial data condition information includes a data value of the financial data condition and a screening time of the financial data condition.

[0089] Exemplarily, after the screening conditions are determined, the screening conditions can be generated according to the operation information on the preset interface, and then the users can be screened according to the screening conditions. The operation information is used to indicate the financial data condition information, including the data value of the financial data condition and the screening time of the financial data condition. The preset interface includes pre-selected and stored screening conditions, which are evaluation indicators and their indicator conditions summarized and refined after analyzing and extracting all user financial data.

[0090] 205. Determine users that meet the screening conditions based on the acquired user financial data of each user and preset screening conditions, wherein the screening conditions include a plurality of financial data condition information.

[0091] Exemplarily, this step refers to step 102 and will not be described in detail.

[0092] 206. Recommend the financial data to be recommended to the users who meet the screening criteria.

[0093] In one example, step 206 includes the following steps:

[0094] Obtain the rights and interests data to be displayed of the financial data to be recommended, and send the rights and interests data to be displayed to the terminal devices of the users meeting the screening conditions.

[0095] Exemplarily, after users who meet the criteria are selected through screening, the rights and interests data to be displayed of the recommended financial data, such as points data and other rights and interests data, are obtained, and the rights and interests data to be displayed are sent to the terminal device of the user who meets the screening criteria. The user can then read and obtain the rights and interests data through the terminal device or the application on the terminal device.

[0096] 207. If no user meeting the screening condition is obtained, then after a preset time, updated user financial data of the user corresponding to the financial data to be recommended is re-obtained.

[0097] Exemplarily, if the users corresponding to the financial data to be recommended fail to pass the screening conditions, for example, the financial data of these users do not meet the data values ​​of the financial data conditions and fail to pass the screening, then after a preset time, the updated user financial data of the users corresponding to the financial data to be recommended are re-obtained.

[0098] 208. Determine a current user who meets the filtering condition based on the updated user financial data of the user corresponding to the financial data to be recommended and the filtering condition, and recommend the financial data to be recommended to the current user who meets the obtained filtering condition.

[0099] Exemplarily, based on the updated user financial data of the user corresponding to the financial data to be recommended and the filtering conditions, the current user who meets the filtering conditions is determined. Similarly, the rights and interests data to be displayed of the financial data to be recommended, such as points data and other rights and interests data, are obtained, and the rights and interests data to be displayed are sent to the terminal device of the current user who obtains the filtering conditions. The user can then read and obtain the rights and interests data through the terminal device or the application on the terminal device.

[0100] In this embodiment, after obtaining the user financial data of the user corresponding to the financial data to be recommended, the user financial data of each user among the multiple users is obtained, and the financial data information of each financial data in the user financial data is extracted. According to the financial data information of each extracted financial data, the screening condition is determined. And in response to the operation information of the user on the preset interface, the screening condition is generated. According to the user financial data of each user obtained and the preset screening condition, the user who meets the screening condition is determined, and the financial data to be recommended is recommended to the user. If the user who meets the screening condition is not obtained, after the preset time, the updated user financial data of the user corresponding to the financial data to be recommended is re-obtained, and it is re-screened and determined according to the screening condition, and the current user who meets the screening condition is determined, and the financial data to be recommended is recommended to the current user who meets the screening condition. Through the above process, personalized recommendation of financial data to users is achieved, and financial data that meets user needs can be recommended to users.

[0101] Figure 3 A schematic diagram of a financial data recommendation device provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the device comprises:

[0102] The first acquisition unit 31 is used to determine and acquire user financial data of a user corresponding to the financial data to be recommended according to the financial data information of the financial data to be recommended.

[0103] The first determining unit 32 is used to determine users meeting the screening conditions based on the acquired user financial data of each user and preset screening conditions, wherein the screening conditions include a plurality of financial data condition information.

[0104] The first processing unit 33 is used to recommend financial data to be recommended to users who meet the screening conditions.

[0105] Figure 4 A schematic diagram of the structure of another financial data recommendation device provided in an embodiment of the present application, Figure 3 Based on the embodiment shown, Figure 4 As shown, the device comprises:

[0106] In one example, the first obtaining unit 31 includes:

[0107] The first acquisition subunit 311 is used to acquire user financial data of multiple users and extract keywords of the user financial data of each of the multiple users.

[0108] The second acquisition subunit 312 is used to extract keywords of the financial data information.

[0109] The first processing subunit 313 is used to determine that the user whose user financial data keyword matches the keyword of the financial data information is the user corresponding to the financial data to be recommended, and extract the user financial data of the user corresponding to the financial data to be recommended from the user financial data of multiple users.

[0110] In one example, the first obtaining unit 31 includes:

[0111] The second processing sub-unit 314 is used to obtain user financial data of each user, and input the user financial data and financial data information of each user into a preset recognition model to obtain user financial data of the user corresponding to the financial data to be recommended.

[0112] In one example, the device further includes:

[0113] The second acquisition unit 41 is used to acquire user financial data of each user among a plurality of users, and extract financial data information of each financial data in the user financial data.

[0114] The second determining unit 42 is used to determine a screening condition according to the extracted financial data information of each financial data.

[0115] In one example, the device further includes:

[0116] The generating unit 43 is used to generate screening conditions in response to the user's operation information on the preset interface, where the operation information is used to indicate financial data condition information.

[0117] In one example, each piece of financial data condition information includes a data value of the financial data condition and a screening time of the financial data condition.

[0118] In one example, the first processing unit 33 is specifically configured to:

[0119] Obtain the rights and interests data to be displayed of the financial data to be recommended, and send the rights and interests data to be displayed to the terminal devices of the users meeting the screening conditions.

[0120] In one example, the device further includes:

[0121] The second processing unit 44 is configured to re-acquire updated user financial data of the user corresponding to the financial data to be recommended after a preset time if no user meeting the screening condition is obtained.

[0122] The third processing unit 45 is used to determine the current user who meets the screening condition according to the updated user financial data of the user corresponding to the financial data to be recommended and the screening condition, and recommend the financial data to be recommended to the current user who meets the obtained screening condition.

[0123] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application is shown in FIG. Figure 5 As shown, the electronic device includes: a memory 51 and a processor 52.

[0124] Memory 51: A memory used to store instructions executable by the processor 52.

[0125] The processor 52 is configured to execute the method provided in the above embodiment.

[0126] Figure 6 This is a block diagram of a terminal device provided in an embodiment of the present application. The device may be a mobile phone, a computer, a digital broadcast terminal, a message transceiver, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.

[0127] The device 800 may include one or more of the following components: a processing component 802 , a memory 804 , a power component 806 , a multimedia component 808 , an audio component 810 , an input / output (I / O) interface 812 , a sensor component 814 , and a communication component 816 .

[0128] The processing component 802 generally controls the overall operation of the device 800, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the above-mentioned method. In addition, the processing component 802 may include one or more modules to facilitate the interaction between the processing component 802 and other components. For example, the processing component 802 may include a multimedia module to facilitate the interaction between the multimedia component 808 and the processing component 802.

[0129] The memory 804 is configured to store various types of data to support operations on the device 800. Examples of such data include instructions for any application or method operating on the device 800, contact data, phone book data, messages, pictures, videos, etc. The memory 804 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0130] The power supply component 806 provides power to the various components of the device 800. The power supply component 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 800.

[0131] The multimedia component 808 includes a screen that provides an output interface between the device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front camera and / or a rear camera. When the device 800 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

[0132] The audio component 810 is configured to output and / or input audio signals. For example, the audio component 810 includes a microphone (MIC), and when the device 800 is in an operating mode, such as a call mode, a recording mode, and a speech recognition mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the memory 804 or sent via the communication component 816. In some embodiments, the audio component 810 also includes a speaker for outputting audio signals.

[0133] I / O interface 812 provides an interface between processing component 802 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include but are not limited to: home button, volume button, start button, and lock button.

[0134] The sensor assembly 814 includes one or more sensors for providing various aspects of status assessment for the device 800. For example, the sensor assembly 814 can detect the open / closed state of the device 800, the relative positioning of components, such as the display and keypad of the device 800, the sensor assembly 814 can also detect the position change of the device 800 or a component of the device 800, the presence or absence of user contact with the device 800, the orientation or acceleration / deceleration of the device 800 and the temperature change of the device 800. The sensor assembly 814 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 814 can also include an optical sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 can also include an accelerometer, a gyroscope sensor, a magnetic sensor, a pressure sensor or a temperature sensor.

[0135] The communication component 816 is configured to facilitate wired or wireless communication between the device 800 and other devices. The device 800 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

[0136] In an exemplary embodiment, the apparatus 800 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to perform the above method.

[0137] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 804 including instructions, and the instructions can be executed by the processor 820 of the device 800 to perform the above method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0138] An embodiment of the present application also provides a non-temporary computer-readable storage medium. When the instructions in the storage medium are executed by a processor of an electronic device, the electronic device can execute the method provided by the above embodiment.

[0139] An embodiment of the present application also provides a computer program product, which includes: a computer program, which is stored in a readable storage medium, and at least one processor of an electronic device can read the computer program from the readable storage medium, and at least one processor executes the computer program so that the electronic device executes the solution provided by any of the above embodiments.

[0140] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0141] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for recommending financial data, characterized in that: The method comprises: Acquire user financial data of a plurality of users, and extract keywords of the user financial data of each of the plurality of users; extracting keywords of financial data information of financial data to be recommended; Determine users whose user financial data keywords match the keywords of the financial data information as the target user group of the financial data to be recommended, and determine the user financial data of the target user group; or, Acquire user financial data of each user, and input the user financial data of each user and the financial data information into a preset recognition model to obtain user financial data of the target user group; Acquire user financial data of each user from a plurality of users, and extract financial data information of each financial data from the user financial data; Determining a screening condition according to the category of the financial data information of each extracted financial data, wherein the screening condition includes a plurality of financial data condition information; According to the screening condition, determining users meeting the screening condition from the target user group; Recommending the financial data to be recommended to users meeting the screening conditions; If no user meeting the screening condition is obtained, then after a preset time, updated user financial data of the user corresponding to the financial data to be recommended is re-obtained; According to the updated user financial data of the user corresponding to the financial data to be recommended and the screening condition, a current user meeting the screening condition is determined, and the financial data to be recommended is recommended to the obtained current user meeting the screening condition.

2. The method according to claim 1, characterized in that The method further comprises: In response to the user's operation information on the preset interface, the operation information is used to indicate the financial data condition information and generate the screening condition.

3. The method according to claim 1, characterized in that Each of the financial data condition information includes a data value of the financial data condition and a screening time of the financial data condition.

4. The method according to any one of claims 1 to 3, characterized in that: Recommending the financial data to be recommended to users who meet the screening conditions includes: Obtain the rights and interests data to be displayed of the financial data to be recommended, and send the rights and interests data to be displayed to the terminal devices of the users meeting the screening conditions.

5. A financial data recommendation device, characterized in that: The device comprises: A first acquisition unit, configured to acquire user financial data of a plurality of users and extract keywords of the user financial data of each of the plurality of users; extracting keywords of financial data information of financial data to be recommended; Determine users whose user financial data keywords match the keywords of the financial data information as the target user group of the financial data to be recommended, and determine the user financial data of the target user group; or, Acquire user financial data of each user, and input the user financial data of each user and the financial data information into a preset recognition model to obtain user financial data of the target user group; A first determining unit, configured to obtain user financial data of each user among a plurality of users, and extract financial data information of each financial data in the user financial data; Determining a screening condition according to the category of the financial data information of each extracted financial data, wherein the screening condition includes a plurality of financial data condition information; According to the screening condition, determining users meeting the screening condition from the target user group; A first processing unit, configured to recommend the financial data to be recommended to users meeting the screening condition; A second processing unit, configured to re-acquire updated user financial data of a user corresponding to the financial data to be recommended after a preset time if no user meeting the screening condition is obtained; The third processing unit is used to determine the current user who meets the filtering condition based on the updated user financial data of the user corresponding to the financial data to be recommended and the filtering condition, and recommend the financial data to be recommended to the current user who meets the filtering condition.

6. The device according to claim 5, characterized in that The device also includes: A generating unit is used to generate the screening condition in response to the user's operation information on a preset interface, wherein the operation information is used to indicate the financial data condition information.

7. The device according to claim 5, characterized in that Each of the financial data condition information includes a data value of the financial data condition and a screening time of the financial data condition.

8. The device according to any one of claims 5 to 7, characterized in that: The first processing unit is specifically configured to: Obtain the rights and interests data to be displayed of the financial data to be recommended, and send the rights and interests data to be displayed to the terminal devices of the users meeting the screening conditions.

9. An electronic device, characterized in that: The electronic device comprises: a memory and a processor; Memory; Memory for storing instructions executable by the processor; The processor is configured to execute the method according to any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 4 when executed by a processor.

11. A computer program product, characterized in that The invention comprises a computer program, which implements the method according to any one of claims 1 to 4 when being executed by a processor.

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