CN112288474A

CN112288474A - Multi-channel product pushing method and device and electronic equipment

Info

Publication number: CN112288474A
Application number: CN202011166388.4A
Authority: CN
Inventors: 钟路
Original assignee: Shanghai Qifu Information Technology Co ltd
Current assignee: Shanghai Qifu Information Technology Co ltd
Priority date: 2020-10-27
Filing date: 2020-10-27
Publication date: 2021-01-29

Abstract

The disclosure relates to a multi-channel product pushing method, a multi-channel product pushing device, electronic equipment and a computer readable medium. The method comprises the following steps: obtaining product information of a plurality of products from a plurality of channels; generating product pushing parameters corresponding to the plurality of products based on an instruction of a user; screening out target users corresponding to each product in the products based on the product information corresponding to the products; and pushing the products to corresponding target users respectively based on the product pushing parameters corresponding to the products. The multi-channel product pushing method, the multi-channel product pushing device, the electronic equipment and the computer readable medium can be used for connecting a plurality of third-party product organizations, performing product screening and pushing through on-line configuration operation in the whole process, and reducing the risk of manual intervention and error according to pre-configuration.

Description

Multi-channel product pushing method and device and electronic equipment

Technical Field

The disclosure relates to the field of computer information processing, in particular to a multi-channel product pushing method and device, electronic equipment and a computer readable medium.

Background

In recent years, the online application of various financial services is becoming a trend, with the increase of market competition bodies, the purchasing behavior of customers tends to be rationalized, and in order to reduce the operation cost and develop the potential of customers in shorter and shorter product life cycles, the online application of various financial services becomes the first work of company operation in various financial service industries. Marketing is a customer service, specifically indicates that the enterprise discovers or excavates accurate consumer demand, removes to promote and sell the product from the construction of whole atmosphere and the construction of self product form, mainly digs the connotation of product deeply, fits customer's demand to let the customer know this product and then the process of purchasing deeply. The product recommendation is an activity of fully utilizing all possible resources to carry out marketing after deeply analyzing personal information and personal requirements of customers and various personalized requirements, ensures the financial security of a company, provides a product or an upgraded product combination form, meets the customer requirements and improves the customer experience.

In order to provide more product choices for users, the existing financial service institutions share resources with each other, and establish a financial service platform on which the users can see products of multiple financial institutions. However, due to the limitations of credit granting, qualification audit and the like, the current financial service platform can only provide functions such as simple product introduction, and cannot provide more services for users.

The above information disclosed in this background section is only for enhancement of understanding of the background of the disclosure and therefore it may contain information that does not constitute prior art that is already known to a person of ordinary skill in the art.

Disclosure of Invention

In view of the above, the present disclosure provides a multi-channel product pushing method, device, electronic device, and computer readable medium, which can perform product screening and pushing by performing online configuration operation in the whole process of docking a plurality of third-party product organizations, and can reduce human intervention and error risk according to pre-configuration.

Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.

According to an aspect of the present disclosure, a multi-channel product pushing method is provided, the method including: obtaining product information of a plurality of products from a plurality of channels; generating product pushing parameters corresponding to the plurality of products based on an instruction of a user; screening out target users corresponding to each product in the products based on the product information corresponding to the products; and pushing the products to corresponding target users respectively based on the product pushing parameters corresponding to the products.

Optionally, obtaining product information for a plurality of products from a plurality of channels comprises: obtaining product data for a plurality of products from a plurality of third party channels; and auditing the product data to generate the product information.

Optionally, generating product pushing parameters corresponding to the plurality of products based on an instruction of a user includes: and generating the issuing time, the number of issuing persons and the issuing frequency corresponding to the products based on the instruction of the user.

Optionally, screening out a target user corresponding to each of the plurality of products based on the product information corresponding to the plurality of products includes: sorting the product information of the plurality of products to generate product conditions and product scores corresponding to the plurality of products; sorting user information of a plurality of users to generate user figures and user scores of the plurality of users; and comparing the product conditions and the product scores corresponding to the products with the user figures and the user scores corresponding to the users to screen out the target users.

Optionally, sorting the product information of the plurality of products to generate product conditions and product scores corresponding to the plurality of products, including: extracting a product rate configuration and a user rating threshold from the product information of the plurality of products as the product condition; and/or performing a risk assessment on the product information for the plurality of products to generate a product score.

Optionally, performing risk assessment on the product information of the plurality of products to generate a product score, further comprising: and when the product score of the product is less than the threshold value, setting the product to be in an invalid state.

Optionally, sorting user information of a plurality of users to generate user portraits and user scores of the plurality of users includes: acquiring user information of the plurality of users; performing feature analysis on the plurality of users based on user information of the plurality of users to generate the user representation; and/or performing a risk assessment on the user information of the plurality of users to generate the user score.

Optionally, performing risk assessment on the user information of the plurality of users to generate the user score, further comprising: and when the user score of the user is smaller than the threshold value, setting the user in an invalid state.

Optionally, the step of comparing the product conditions and the product scores corresponding to the plurality of products with the user images and the user scores corresponding to the plurality of users to screen out the target users comprises: comparing the product condition of the product with the user figures corresponding to the plurality of users to screen out a plurality of target users; and comparing the product scores with the user scores to perform secondary screening on the plurality of target users.

Optionally, pushing the multiple products to their corresponding target users respectively based on the product pushing parameters corresponding to the multiple products includes: generating a plurality of timing tasks according to the product pushing parameters corresponding to the plurality of products; and pushing the products to corresponding target users respectively based on the timing task.

According to an aspect of the present disclosure, there is provided a multi-channel product pushing apparatus, the apparatus including: the information module is used for acquiring product information of a plurality of products from a plurality of channels; the parameter module is used for generating product pushing parameters corresponding to the products based on an instruction of a user; the screening module is used for screening out target users corresponding to each product in the products based on the product information corresponding to the products; and the pushing module is used for pushing the products to corresponding target users respectively based on the product pushing parameters corresponding to the products.

Optionally, the information module includes: the data unit is used for acquiring product data of a plurality of products by a plurality of third-party channels; and the auditing unit is used for auditing the product data to generate the product information.

Optionally, the parameter module is further configured to generate, based on an instruction of a user, release time, number of released persons, and release frequency corresponding to the plurality of products.

Optionally, the screening module includes: the product unit is used for sorting the product information of the products to generate product conditions and product scores corresponding to the products; the user unit is used for sorting user information of a plurality of users to generate user figures and user scores of the users; and the screening unit is used for comparing the product conditions and the product scores corresponding to the products with the user portrait and the user scores corresponding to the users so as to screen out the target users.

Optionally, the product unit comprises: a condition subunit, configured to extract a product rate configuration and a user rating threshold from product information of the plurality of products as the product condition; and/or an evaluation subunit for performing a risk evaluation on the product information of the plurality of products to generate a product score.

Optionally, the product unit further includes: and the invalidation subunit is used for setting the product to be in an invalid state when the product score of the product is smaller than a threshold value.

Optionally, the subscriber unit includes: an acquisition subunit, configured to acquire user information of a plurality of users; a portrait subunit to perform feature analysis on the plurality of users based on user information of the plurality of users to generate the user portrait; and/or a risk subunit for performing risk assessment on the user information of the plurality of users to generate the user score.

Optionally, the subscriber unit further includes: and the threshold subunit is used for setting the user to be in an invalid state when the user score of the user is smaller than a threshold.

Optionally, the screening unit is further configured to compare product conditions of the product with user figures corresponding to a plurality of users to screen out a plurality of target users; and comparing the product scores with the user scores to perform secondary screening on the plurality of target users.

Optionally, the pushing module is further configured to generate a plurality of timing tasks according to product pushing parameters corresponding to the plurality of products; and pushing the products to corresponding target users respectively based on the timing task.

According to an aspect of the present disclosure, an electronic device is provided, the electronic device including: one or more processors; storage means for storing one or more programs; when executed by one or more processors, cause the one or more processors to implement a method as above.

According to an aspect of the disclosure, a computer-readable medium is proposed, on which a computer program is stored, which program, when being executed by a processor, carries out the method as above.

According to the multi-channel product pushing method, the multi-channel product pushing device, the electronic equipment and the computer readable medium, product information of a plurality of products from a plurality of channels is obtained; generating product pushing parameters corresponding to the plurality of products based on an instruction of a user; screening out target users corresponding to each product in the products based on the product information corresponding to the products; the product pushing method based on the multiple products can be used for pushing the multiple products to corresponding target users respectively, multiple third-party product mechanisms can be connected, product screening and pushing can be carried out through online configuration operation in the whole process, and the risk of manual intervention and error can be reduced according to pre-configuration.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The above and other objects, features and advantages of the present disclosure will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings. The drawings described below are merely some embodiments of the present disclosure, and other drawings may be derived from those drawings by those of ordinary skill in the art without inventive effort.

Fig. 1 is a block diagram illustrating an application scenario of a multi-channel product push method and apparatus according to an exemplary embodiment.

FIG. 2 is a flow diagram illustrating a multi-channel product push method in accordance with an exemplary embodiment.

FIG. 3 is a flow chart illustrating a multi-channel product push method in accordance with another exemplary embodiment.

Fig. 4 is a system architecture diagram illustrating a product push platform in a multi-channel product push method according to an example embodiment.

FIG. 5 is a flow diagram illustrating a multi-channel product push method in accordance with an exemplary embodiment.

FIG. 6 is a block diagram illustrating a multi-channel product push apparatus according to an exemplary embodiment.

FIG. 7 is a block diagram illustrating an electronic device in accordance with an example embodiment.

FIG. 8 is a block diagram illustrating a computer-readable medium in accordance with an example embodiment.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus, a repetitive description thereof will be omitted.

Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the disclosure.

The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.

The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.

It will be understood that, although the terms first, second, third, etc. may be used herein to describe various components, these components should not be limited by these terms. These terms are used to distinguish one element from another. Thus, a first component discussed below may be termed a second component without departing from the teachings of the disclosed concept. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.

It is to be understood by those skilled in the art that the drawings are merely schematic representations of exemplary embodiments, and that the blocks or processes shown in the drawings are not necessarily required to practice the present disclosure and are, therefore, not intended to limit the scope of the present disclosure.

Fig. 1 is a system block diagram illustrating a multi-channel product push method and apparatus according to an exemplary embodiment.

As shown in fig. 1, the system architecture 10 may include

terminal devices

101, 102, 103, a network 104, a server 105,

product terminals

106, 107, 108. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 over the network 104 to receive product messages or the like. The

terminal devices

101, 102, 103 may have various communication client applications installed thereon, such as a financial services application, a shopping application, a web browser application, an instant messaging tool, a mailbox client, social platform software, and the like.

The user may interact with the server 105 via the network 104 using

product terminals

106, 107, 108 to set product parameters, etc. Various communication client applications may be installed on the

terminal devices

101, 102, 103.

The

terminal devices

101, 102, 103 and the

product terminals

106, 107, 108 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 105 may be a server that provides various services, such as a background management server that supports financial services websites browsed by the user using the

terminal apparatuses

101, 102, and 103. The backend management server may analyze and perform other processing on the received user data, and feed back a processing result (e.g., product push information) to the

terminal devices

101, 102, and 103.

The server 105 may, for example, obtain product information for a plurality of products from a plurality of channels; the server 105 may generate product push parameters corresponding to the plurality of products, for example, based on an instruction of the user; the server 105 may filter out a target user corresponding to each of the plurality of products, for example, based on the product information corresponding to the plurality of products; the server 105 may push the plurality of products to their corresponding target users, for example, based on product push parameters corresponding to the plurality of products.

The server 105 may be a single entity server, or may be composed of a plurality of servers, for example, it should be noted that the multi-channel product pushing method provided by the embodiment of the present disclosure may be executed by the server 105, and accordingly, the multi-channel product pushing apparatus may be disposed in the server 105.

FIG. 2 is a flow diagram illustrating a multi-channel product push method in accordance with an exemplary embodiment. The multi-channel product pushing method 20 at least comprises steps S202 to S208.

As shown in fig. 2, in S202, product information of a plurality of products from a plurality of channels is acquired. Product data for a plurality of products may be obtained, for example, by a plurality of third-party channels; and auditing the product data to generate the product information.

In S204, product pushing parameters corresponding to the plurality of products are generated based on an instruction of the user. More specifically, the release time, the number of the release persons, and the release frequency corresponding to the plurality of products may be generated based on the user's instruction.

In S206, a target user corresponding to each of the plurality of products is screened out based on the product information corresponding to the plurality of products. Can include the following steps: sorting the product information of the plurality of products to generate product conditions and product scores corresponding to the plurality of products; sorting user information of a plurality of users to generate user figures and user scores of the plurality of users; and comparing the product conditions and the product scores corresponding to the products with the user figures and the user scores corresponding to the users to screen out the target users.

Specific contents of "filtering out the target user corresponding to each of the plurality of products based on the product information corresponding to the plurality of products" will be described in the embodiment corresponding to fig. 3.

In S208, the products are pushed to the corresponding target users respectively based on the product pushing parameters corresponding to the products. For example, a plurality of timing tasks are generated according to the product pushing parameters corresponding to the plurality of products; and pushing the products to corresponding target users respectively based on the timing task.

According to the multi-channel product pushing method, product information of a plurality of products from a plurality of channels is obtained; generating product pushing parameters corresponding to the plurality of products based on an instruction of a user; screening out target users corresponding to each product in the products based on the product information corresponding to the products; the product pushing method based on the multiple products can be used for pushing the multiple products to corresponding target users respectively, multiple third-party product mechanisms can be connected, product screening and pushing can be carried out through online configuration operation in the whole process, and the risk of manual intervention and error can be reduced according to pre-configuration.

It should be clearly understood that this disclosure describes how to make and use particular examples, but the principles of this disclosure are not limited to any details of these examples. Rather, these principles can be applied to many other embodiments based on the teachings of the present disclosure.

FIG. 3 is a flow chart illustrating a multi-channel product push method in accordance with another exemplary embodiment. The process 30 shown in fig. 3 is a detailed description of S206 "filtering out the target users corresponding to each of the plurality of products based on the product information corresponding to the plurality of products" in the process shown in fig. 2.

As shown in fig. 3, in S302, the product information of the plurality of products is collated to generate product conditions and product scores corresponding to the plurality of products. A product rate configuration and a user rating threshold may be extracted from product information of the plurality of products as the product condition, for example; and/or performing a risk assessment on the product information for the plurality of products to generate a product score.

More specifically, parameters such as product rates and the like can be directly extracted from product information; the product risk assessment can be obtained through calculation by a machine learning model trained in advance.

In one embodiment, further comprising: and when the product score of the product is less than the threshold value, setting the product to be in an invalid state.

In S304, the user information of the plurality of users is collated to generate user figures and user scores of the plurality of users. User information of the plurality of users may be acquired, for example; performing feature analysis on the plurality of users based on user information of the plurality of users to generate the user representation; and/or performing a risk assessment on the user information of the plurality of users to generate the user score. And analyzing and scoring the user through the trained user portrait model and the trained user risk scoring model.

In one embodiment, further comprising: and when the user score of the user is smaller than the threshold value, setting the user in an invalid state.

In S306, the product conditions and product scores corresponding to the products are compared with the user images and user scores corresponding to the users to screen out the target users. For example, product conditions of a product are compared with user figures corresponding to a plurality of users to screen out a plurality of target users; for example, the target users of the product a are characterized by "white collar" and "stable income", and then all users may be screened according to the characteristics of the target users to select eligible target users. And then comparing the product scores with the user scores to perform secondary screening on the plurality of target users. Such as, for example, a product that may be scored as a class a score (highest scoring level), then the users to which the class a product may be adapted are users at all scoring levels; and the users that the B-type products can be adapted to are B-type C-type users and the like, and the adaptive relationship between the product scores and the user scores can be set in the background.

Fig. 4 is a system architecture diagram illustrating a product push platform in a multi-channel product push method according to an example embodiment. As shown in fig. 4, the system architecture 40 may include: the system comprises a third party configuration module, a product module, a rate module, a user purchase display module, a timing task pushing module and an interface provided for the outside.

The third-party configuration model is used for assisting a user of a third party in configuring the product parameters. The product module user stores product information, evaluates the product, and the like. The rate module is used to set a product rate. And the user display module is used for generating a product page according to the product information and pushing the product page to the user for display.

FIG. 5 is a flowchart illustrating a multi-channel product push method in accordance with another exemplary embodiment. The flow 50 shown in FIG. 5 is a detailed description of a financial services platform application flow generated according to the method of the present disclosure.

As shown in fig. 5, in S502, a third party creates a configuration. A cooperative third party organization can be newly established in the platform system by an administrator of the platform, and the third party organization can maintain some parameters by itself, wherein the configuration which can be created by the third party organization comprises the following steps: for example: organization number, organization party name, status (valid or invalid).

In S504, product information is synchronized. The synchronous product information is the information of the product and the amount of information which are obtained through the network interface.

In S506, the product rate is configured. The product rate configuration includes: interest, penalty, default of credit product.

In S508, development time setting and approval are performed. The open time setting and the examination and approval are to facilitate the entering and examination and approval requirements of a background administrator to more standardize the examination and approval process.

In S510, a presentation page is pushed to the user. The display page pushed to the user for purchase is displayed on a front-end page through a system timing task according to appointed set time, and the user can purchase the display page.

The financial service platform generated by the multi-channel product pushing method can automatically reduce the risk of manual intervention and error according to the pre-configuration, and greatly improve the efficiency and guarantee the accuracy if the marketed products have more categories and are operated frequently;

the financial service platform generated by the multi-channel product pushing method can be used as a cooperation open platform, and supports the connection of a plurality of third-party capital institutions, and the whole online configuration operation is completed.

According to the financial service platform generated by the multi-channel product pushing method, the user experience is friendly, for example, a certain product is pre-sold on holidays without preparing material release in the morning manually.

Those skilled in the art will appreciate that all or part of the steps implementing the above embodiments are implemented as computer programs executed by a CPU. When executed by the CPU, performs the functions defined by the above-described methods provided by the present disclosure. The program may be stored in a computer readable storage medium, which may be a read-only memory, a magnetic or optical disk, or the like.

Furthermore, it should be noted that the above-mentioned figures are only schematic illustrations of the processes involved in the methods according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.

The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods. For details not disclosed in the embodiments of the apparatus of the present disclosure, refer to the embodiments of the method of the present disclosure.

Fig. 6 is a block diagram illustrating a multi-channel product push apparatus according to another exemplary embodiment. As shown in fig. 6, the multi-channel product push apparatus 60 includes: an information module 602, a parameter module 604, a filtering module 606, and a pushing module 608.

The information module 602 is used to obtain product information for a plurality of products from a plurality of channels; the information module 602 includes: the data unit is used for acquiring product data of a plurality of products by a plurality of third-party channels; and the auditing unit is used for auditing the product data to generate the product information.

The parameter module 604 is configured to generate product pushing parameters corresponding to the plurality of products based on an instruction of a user; the parameter module 604 is further configured to generate, based on the instruction of the user, a distribution time, a distribution number, and a distribution frequency corresponding to the plurality of products.

The screening module 606 is configured to screen out a target user corresponding to each of the plurality of products based on the product information corresponding to the plurality of products; the screening module 606 includes: the product unit is used for sorting the product information of the products to generate product conditions and product scores corresponding to the products; the user unit is used for sorting user information of a plurality of users to generate user figures and user scores of the users; and the screening unit is used for comparing the product conditions and the product scores corresponding to the products with the user portrait and the user scores corresponding to the users so as to screen out the target users.

Wherein the product unit comprises: a condition subunit, configured to extract a product rate configuration and a user rating threshold from product information of the plurality of products as the product condition; and/or an assessment subunit for performing a risk assessment on the product information of the plurality of products to generate product scores; and the invalidation subunit is used for setting the product to be in an invalid state when the product score of the product is smaller than a threshold value.

Wherein the subscriber unit comprises: an acquisition subunit, configured to acquire user information of a plurality of users; a portrait subunit to perform feature analysis on the plurality of users based on user information of the plurality of users to generate the user portrait; and/or a risk subunit for performing risk assessment on the user information of the plurality of users to generate the user score; and the threshold subunit is used for setting the user to be in an invalid state when the user score of the user is smaller than a threshold.

The screening unit is further used for comparing product conditions of the product with user figures corresponding to a plurality of users to screen out a plurality of target users; and comparing the product scores with the user scores to perform secondary screening on the plurality of target users.

The pushing module 608 is configured to push the products to corresponding target users based on product pushing parameters corresponding to the products. The pushing module 608 is further configured to generate a plurality of timing tasks according to product pushing parameters corresponding to the plurality of products; and pushing the products to corresponding target users respectively based on the timing task.

According to the multi-channel product pushing device disclosed by the invention, product information of a plurality of products from a plurality of channels is obtained; generating product pushing parameters corresponding to the plurality of products based on an instruction of a user; screening out target users corresponding to each product in the products based on the product information corresponding to the products; the product pushing method based on the multiple products can be used for pushing the multiple products to corresponding target users respectively, multiple third-party product mechanisms can be connected, product screening and pushing can be carried out through online configuration operation in the whole process, and the risk of manual intervention and error can be reduced according to pre-configuration.

An electronic device 700 according to this embodiment of the disclosure is described below with reference to fig. 7. The electronic device 700 shown in fig. 7 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 7, electronic device 700 is embodied in the form of a general purpose computing device. The components of the electronic device 700 may include, but are not limited to: at least one processing unit 710, at least one memory unit 720, a bus 730 that connects the various system components (including the memory unit 720 and the processing unit 710), a display unit 740, and the like.

Wherein the storage unit stores program codes executable by the processing unit 710 to cause the processing unit 710 to perform the steps according to various exemplary embodiments of the present disclosure described in the above-mentioned electronic prescription flow processing method section of the present specification. For example, the processing unit 710 may perform the steps as shown in fig. 2, 3, 5.

The memory unit 720 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)7201 and/or a cache memory unit 7202, and may further include a read only memory unit (ROM) 7203.

The memory unit 720 may also include a program/utility 7204 having a set (at least one) of program modules 7205, such program modules 7205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

Bus 730 may be any representation of one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

The electronic device 700 may also communicate with one or more external devices 700' (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 700, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 700 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 750. Also, the electronic device 700 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet) via the network adapter 760. The network adapter 760 may communicate with other modules of the electronic device 700 via the bus 730. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 700, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, as shown in fig. 8, the technical solution according to the embodiment of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, or a network device, etc.) to execute the above method according to the embodiment of the present disclosure.

The software product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

The computer readable medium carries one or more programs which, when executed by a device, cause the computer readable medium to perform the functions of: obtaining product information of a plurality of products from a plurality of channels; generating product pushing parameters corresponding to the plurality of products based on an instruction of a user; screening out target users corresponding to each product in the products based on the product information corresponding to the products; and pushing the products to corresponding target users respectively based on the product pushing parameters corresponding to the products.

Those skilled in the art will appreciate that the modules described above may be distributed in the apparatus according to the description of the embodiments, or may be modified accordingly in one or more apparatuses unique from the embodiments. The modules of the above embodiments may be combined into one module, or further split into multiple sub-modules.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

Exemplary embodiments of the present disclosure are specifically illustrated and described above. It is to be understood that the present disclosure is not limited to the precise arrangements, instrumentalities, or instrumentalities described herein; on the contrary, the disclosure is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims

1. A multi-channel product push method, comprising:

obtaining product information of a plurality of products from a plurality of channels;

generating product pushing parameters corresponding to the plurality of products based on an instruction of a user;

screening out target users corresponding to each product in the products based on the product information corresponding to the products;

and pushing the products to corresponding target users respectively based on the product pushing parameters corresponding to the products.

2. The method of claim 1, wherein obtaining product information for a plurality of products from a plurality of channels comprises:

obtaining product data for a plurality of products from a plurality of third party channels;

and auditing the product data to generate the product information.

3. The method of any one of claims 1-2, wherein generating product push parameters corresponding to the plurality of products based on the user's instructions comprises:

and generating the issuing time, the number of issuing persons and the issuing frequency corresponding to the products based on the instruction of the user.

4. The method of any one of claims 1-3, wherein screening out the target users for each of the plurality of products based on the product information for the plurality of products comprises:

sorting the product information of the plurality of products to generate product conditions and product scores corresponding to the plurality of products;

sorting user information of a plurality of users to generate user figures and user scores of the plurality of users;

and comparing the product conditions and the product scores corresponding to the products with the user figures and the user scores corresponding to the users to screen out the target users.

5. The method of any one of claims 1-4, wherein collating the product information for the plurality of products to generate product conditions and product scores for the plurality of products comprises:

extracting a product rate configuration and a user rating threshold from the product information of the plurality of products as the product condition; and/or

Performing a risk assessment on the product information for the plurality of products to generate a product score.

6. The method of any one of claims 1-5, wherein risk evaluating product information for the plurality of products to generate a product score, further comprises:

and when the product score of the product is less than the threshold value, setting the product to be in an invalid state.

7. The method of any of claims 1-6, wherein collating user information for a plurality of users to generate user representations and user scores for the plurality of users comprises:

acquiring user information of the plurality of users;

performing feature analysis on the plurality of users based on user information of the plurality of users to generate the user representation; and/or

Performing risk assessment on the user information of the plurality of users to generate the user score.

And when the user score of the user is smaller than the threshold value, setting the user in an invalid state.

8. A multi-channel product pusher, comprising:

the information module is used for acquiring product information of a plurality of products from a plurality of channels;

the parameter module is used for generating product pushing parameters corresponding to the products based on an instruction of a user;

the screening module is used for screening out target users corresponding to each product in the products based on the product information corresponding to the products;

and the pushing module is used for pushing the products to corresponding target users respectively based on the product pushing parameters corresponding to the products.

9. An electronic device, comprising:

one or more processors;

storage means for storing one or more programs;

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.

10. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-7.