CN113850660A

CN113850660A - Information recommendation method, device, equipment and medium

Info

Publication number: CN113850660A
Application number: CN202111149886.2A
Authority: CN
Inventors: 亢海智
Original assignee: Ping An Technology Shenzhen Co Ltd
Current assignee: Ping An Technology Shenzhen Co Ltd
Priority date: 2021-09-29
Filing date: 2021-09-29
Publication date: 2021-12-28

Abstract

The application relates to an artificial intelligence technology and provides an information recommendation method, device, equipment and medium. The method comprises the following steps: acquiring target information matched with the target object according to the target object identification information included in the target request information; analyzing the target information to obtain at least one target item contained in the target information; determining cost information and preference information for implementing each of the at least one objective item; determining a first event among the at least one objective item based on the cost information and the benefit information for implementing each objective item, the cost information for implementing the first event being less than the cost information for implementing the second event, and the benefit information for implementing the first event being greater than or equal to the benefit information for implementing the third event; and generating recommendation information matched with the first event, outputting the recommendation information, intelligently analyzing the target information, and recommending the first event meeting the user's intention to the user.

Description

Information recommendation method, device, equipment and medium

Technical Field

The present application relates to the field of artificial intelligence technologies, and in particular, to an information recommendation method, apparatus, device, and medium.

Background

The planning personnel can search the target information matched with the target object, and then plan based on the target information. Taking tax planning as an example, the tax planning is the tax-related behavior that taxpayers maximize benefits after tax into targets under the legal premise by making full use of various favorable tax policies, properly arranging investment behaviors and production and management business processes and through reasonable fiscal coordination and accounting treatment under the current tax conditions. The existing tax planning is to manually plan tax according to personal professional knowledge and experience, the planning efficiency is low, and the planning of the obtained items can not be ensured to be in line with the user's will.

Disclosure of Invention

The embodiment of the application provides an information recommendation method, device, equipment and medium, which can intelligently analyze target information and recommend a first item meeting the user's intention to a user.

In one aspect, an embodiment of the present application provides an information recommendation method, where the method includes:

acquiring target request information, wherein the target request information comprises target object identification information;

acquiring target information matched with the target object according to the target object identification information;

analyzing the target information to obtain at least one target item contained in the target information;

determining cost information and preference information for implementing each of the at least one objective item;

determining a first event among the at least one objective event based on cost information and benefit information for implementing each objective event, wherein the cost information for implementing the first event is less than cost information for implementing a second event, and the benefit information for implementing the first event is greater than or equal to benefit information for implementing a third event, the second event being one or more of the at least one objective event other than the first event, the third event being one or more of the at least one objective event other than the first event;

and generating recommendation information matched with the first event, and outputting the recommendation information.

In one embodiment, the target request information further includes resource information, and the resource information is used to indicate the resource amount that can be acquired by the target object;

the specific implementation process of acquiring the target information matched with the target object according to the target object identification information comprises the following steps:

and searching target information matched with the target object according to the resource information, wherein the preference indicated by the target information is matched with the resource quantity indicated by the resource information.

In one embodiment, the target request information further includes identification information indicating the target information;

searching target information corresponding to the identification information;

and if the target information is matched with the target object, triggering and executing analysis processing on the target information to obtain at least one target item contained in the target information.

In one embodiment, after obtaining the target request information, the following process may be further implemented:

acquiring identity information of a target object;

carrying out authentication processing on the target object according to the identity information;

and after the authentication is passed, triggering and executing to acquire target information matched with the target object according to the target object identification information.

In one embodiment, after analyzing the target information to obtain at least one target item included in the target information, the following process may be further implemented:

outputting prompt information, wherein the prompt information comprises at least one target item;

in response to a selection operation of at least one target item, determining a selected target item;

the specific implementation process for determining the cost information and the preference information for implementing each target item in at least one target item comprises the following steps:

cost information and benefit information for implementing the selected target item are determined.

In one embodiment, based on the cost information and the benefit information for implementing each target item, the specific implementation process for determining the first item in at least one target item is as follows:

if the preferential information for implementing each target item is the same, determining the target item with the minimum cost information in at least one target item as a first item;

if the cost information for implementing each target item is the same, determining the target item with the maximum preferential information in at least one target item as a first item;

if the preference information for implementing each target item is not identical and the cost information for implementing each target item is not identical, the target item with the minimum cost information and the maximum preference information in at least one target item is determined as the first item.

In one embodiment, the following process may also be implemented:

if the discount information of each implemented target item is different and the cost information of each implemented target item is different, performing weighted operation on the discount information and the cost information of each implemented target item to obtain the discount degree of each target item;

and determining the target item with the highest priority in the at least one target item as the first item.

On the other hand, an embodiment of the present application provides an information recommendation apparatus, including:

an acquisition unit configured to acquire target request information, the target request information including target object identification information;

the processing unit is used for acquiring target information matched with the target object according to the target object identification information;

the processing unit is also used for analyzing the target information to obtain at least one target item contained in the target information;

the processing unit is also used for determining cost information and preference information for implementing each target item in at least one target item;

the processing unit is further used for determining a first event in at least one target event according to cost information for implementing each target event and benefit information, wherein the cost information for implementing the first event is less than the cost information for implementing a second event, the benefit information for implementing the first event is greater than or equal to the benefit information for implementing a third event, the second event is one or more target events except the first event in the at least one target event, and the third event is one or more target events except the first event in the at least one target event;

the processing unit is also used for generating recommendation information matched with the first event;

and the output unit is used for outputting the recommendation information.

In another aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a communication interface, where the processor, the memory, and the communication interface are connected to each other, where the memory is used to store a computer program that supports a terminal to execute the foregoing method, the computer program includes program instructions, and the processor is configured to call the program instructions, and perform the following steps: acquiring target request information, wherein the target request information comprises target object identification information; acquiring target information matched with the target object according to the target object identification information; analyzing the target information to obtain at least one target item contained in the target information; determining cost information and preference information for implementing each of the at least one objective item; determining a first event among the at least one object event based on cost information and benefit information for implementing each object event, wherein the cost information for implementing the first event is less than cost information for implementing a second event, and the benefit information for implementing the first event is greater than or equal to benefit information for implementing a third event, the second event being one or more object events of the at least one object event other than the first event, the third event being one or more object events of the at least one object event other than the first event; and generating recommendation information matched with the first event, and outputting the recommendation information.

In still another aspect, an embodiment of the present application provides a computer-readable storage medium, in which a computer program is stored, the computer program including program instructions, which, when executed by a processor, cause the processor to execute the information recommendation method.

In the embodiment of the application, the target information can be analyzed to obtain at least one target item contained in the target information, the cost information and the benefit information for implementing each target item in the at least one target item are determined, the first item is determined in the at least one target item according to the cost information and the benefit information for implementing each target item, wherein the cost information for implementing the first item is less than the cost information for implementing the second item, and the benefit information for implementing the first item is greater than or equal to the benefit information for implementing the third item, and then recommendation information matched with the first item is generated, so that the target information can be intelligently analyzed, and the first item meeting the user's intention can be recommended to the user.

Drawings

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

Fig. 1 is a schematic flowchart of an information recommendation method provided in an embodiment of the present application;

FIG. 2 is a flowchart illustrating another information recommendation method according to an embodiment of the present application;

FIG. 3 is a flowchart illustrating another information recommendation method according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of an information recommendation device according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The method and the device can be applied to application scenes such as tax planning, land planning or grade assessment.

Taking tax planning as an example, tax planning is also called reasonable tax avoidance. It originated from the 1935 United kingdom 'tax administration Long complaint Wensted major' case. The Ministry tomlin Jazz, the UK upper parlor involved in this case, made such an expression for tax planning: "anyone has the right to arrange his career. If some arrangements made by law can pay less taxes, he cannot be forced to pay more taxes. This view is recognized by the legal community. Through the development of more than half a century, the standardized definition of Tax planning is gradually formed, namely, the economic benefit of Tax saving (Tax Savings) is obtained as much as possible by planning and arranging the operation, investment and financing activities in advance within the scope of legal regulations and permission. That is, tax planning refers to a series of planning activities for paying less tax or postponing tax payment targets by making a preliminary arrangement for tax-related matters such as the operation activities or investment activities of tax payers (legal persons or natural persons) before tax payment is performed without violating laws and regulations (tax law and other related laws and regulations).

Taking land planning as an example, before a target object (e.g. a property developer) performs property planning on a certain land area, information about bidding conditions and the like of the land area can be obtained, and then a series of conspiracy activities with higher benefits at lower cost can be achieved by making a preliminary arrangement on the matters such as business activities or investment behaviors of the target object.

For example, before a target object (e.g., a business or an employee) performs a rating application, information about application conditions of the rating application may be obtained, and then a series of marketing activities may be performed to ensure successful rating at a low cost by arranging the business activities or behaviors of the target object in advance.

The information recommendation method in the embodiment of the application can be applied to electronic equipment, wherein the electronic equipment can be any one or more of a smart phone, a tablet computer, a notebook computer, a desktop computer, intelligent vehicle-mounted equipment and intelligent wearable equipment. Optionally, the electronic device may also be a server, and the server may be an independent physical server, or a server cluster or a distributed system formed by a plurality of physical servers. In other words, the server may be an independent server, or may be a cloud server that provides basic cloud computing services such as cloud service, a cloud database, cloud computing, a cloud function, cloud storage, Network service, cloud communication, middleware service, domain name service, security service, Content Delivery Network (CDN), big data, and an artificial intelligence platform.

In an example, taking an electronic device as a server as an example, a user may log in a client through an account, and then initiate target request information to the server through the client, for example, after the user logs in the client through the account, the client may display a main interface, the main interface includes a service application component, the user clicks the service application component, the client may generate the target request information in response to a click operation of the user, the target request information may include target object identification information, and the client may send the target request information to the server.

In another example, taking an electronic device as any one or more of a smartphone, a tablet computer, a laptop computer, a desktop computer, an intelligent vehicle-mounted device, and an intelligent wearable device as an example, a user may initiate a service request on a user interface of the electronic device, the electronic device may generate target request information, the target request information may include target object identification information, the electronic device may obtain target information matching a target object according to the target object identification information, perform parsing on the target information to obtain at least one target item included in the target information, determine cost information and benefit information for implementing each target item of the at least one target item, determine a first item of the at least one target item according to the cost information and the benefit information for implementing each target item, where the cost information for implementing the first item is less than the cost information for implementing a second item, and the preferential information implementing the first event is greater than or equal to the preferential information implementing the third event, and then generating recommendation information matched with the first event and outputting the recommendation information.

The embodiment of the application can acquire and process related data based on an artificial intelligence technology. Among them, Artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.

The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.

Referring to fig. 1, fig. 1 is a schematic flowchart of an information recommendation method according to an embodiment of the present application; the information recommendation method shown in fig. 1 may be executed by an electronic device, and the scheme includes, but is not limited to, step S101-step S106, wherein:

s101, target request information is obtained, and the target request information comprises target object identification information.

In a specific implementation, the electronic device may receive target request information sent by a client, or obtain target request information submitted by a user. The target request information may be used to request tax planning, land planning, or rating. The target object identification information is used for uniquely identifying the target object, and the target object can be a tax payment subject, a business or an employee.

In a possible implementation manner, after the electronic device obtains the target request information, the electronic device may obtain identity information of the target object, perform authentication processing on the target object according to the identity information, and after the authentication is passed, trigger execution of step S102; if the authentication is not passed, the electronic device may output prompt information, which may include description information for describing a reason why the authentication is not passed.

In one example, the identity information of the target object may include credit investigation information of the target object, the electronic device may obtain credit rating of the target object based on the credit investigation information of the target object, and if the credit rating is greater than a preset proportion threshold, the electronic device may determine that the target object is authenticated; if the credit is less than or equal to the preset proportion threshold, the electronic device may determine that the authentication of the target object is not passed.

In another example, the identity information of the target object may include target object identification information of the target object, the electronic device may determine whether the target object identification information exists in a blacklist, and if the target object identification information exists in the blacklist, the electronic device may determine that the target object is not authenticated; if the target object identification information is not present in the blacklist, the electronic device may determine that the target object is authenticated. The identification information in the blacklist may refer to identification information of an object that produces bad behavior, such as identification information of an object that has a stain in the file, or identification information of an object that has behaviors such as tax evasion and tax evasion.

And S102, acquiring target information matched with the target object according to the target object identification information.

The target information may refer to: tax information, bidding condition information, application condition information, and the like.

The electronic device may obtain, from among the plurality of information, target information that matches the target object corresponding to the target object identification information, that is, target information that the target object qualifies, for example, tax information that the target object can enjoy tax benefits, bid condition information that the target object qualifies for bidding, or application condition information that the target object qualifies for application.

In a feasible implementation manner, the target request information may further include resource information, where the resource information is used to indicate a resource amount that the target object can acquire, so that the electronic device may search, according to the resource information, for target information that matches the target object, and a benefit indicated by the target information matches the resource amount indicated by the resource information. For example, the advantage indicated by the target information is the same as the resource amount indicated by the resource information, or the advantage indicated by the target information is less than or equal to the resource amount indicated by the resource information.

In one possible embodiment, the target request information may further include identification information, the identification information being used to indicate the target information; the electronic device may search for target information corresponding to the identification information, and if the target information matches the target object, trigger execution of parsing processing on the target information to obtain at least one target item included in the target information.

S103, analyzing the target information to obtain at least one target item contained in the target information.

In a possible implementation manner, after the electronic device analyzes the target information to obtain at least one target item included in the target information, a prompt message may be further output, where the prompt message includes the at least one target item, and in response to a selection operation on the at least one target item, the selected target item is determined, and further, cost information and benefit information for implementing the selected target item are determined.

Taking the target information as the tax information as an example, the electronic device may analyze the tax information to obtain at least one tax item included in the tax information, where each tax item in the at least one tax item includes at least one tax enforcement clause.

For example, if the tax information is: first, XX Notification: the financial funds which are acquired by enterprises from financial departments and other departments of the people's governments at all levels above the county level and which are subject to the total income amount are taken as non-taxation income and are subtracted from the total income amount when the income amount which is subject to tax is calculated, wherein the financial funds meet the following conditions: (1) enterprises can provide fund payment documents which specify special purposes of fund; (2) the financial department or other government departments which dial in funds have special fund management methods or specific management requirements for the funds; (3) the business separately accounts for the funds and the expenses incurred at the funds. II, secondly: the tax payment subject satisfies any one of the following conditions: the obtained amount is less than 300 ten thousand; the number of people is less than 300. Then the electronic device parses the tax information to obtain four tax matters.

The first tax transaction may include four tax embodiment rules, respectively: providing a fund transfer file for special purposes; making a fund management method; establishing independent accounting subjects; the resulting amount is less than 300 ten thousand. In addition, the second tax transaction includes four tax enforcement regulations, which are: providing a fund transfer file for special purposes; making a fund management method; establishing independent accounting subjects; the number of people is less than 300. The third tax transaction includes four tax embodiment rules, respectively: providing a fund transfer file for special purposes; making a fund management requirement; establishing independent accounting subjects; the resulting amount is less than 300 ten thousand. The fourth tax transaction includes four tax embodiment rules, which are: providing a fund transfer file for special purposes; making a fund management requirement; establishing independent accounting subjects; the number of people is less than 300.

S104, determining cost information and preferential information for implementing each target item in at least one target item.

Taking the target item as the tax item, the electronic device may determine cost information and tax saving information for implementing each tax item according to at least one tax implementation regulation included in each tax item.

S105, according to the cost information and the preferential information of each target item, the first item is determined in at least one target item.

The cost information for implementing the first event is less than the cost information for implementing the second event, and the benefit information for implementing the first event is greater than or equal to the benefit information for implementing the third event, wherein the second event is one or more target events except the first event in the at least one target event, and the third event is one or more target events except the first event in the at least one target event.

In one possible embodiment, if the preference information for implementing each target item is the same, the target item with the minimum cost information in at least one target item is determined as the first item; if the cost information for implementing each target item is the same, determining the target item with the maximum preferential information in at least one target item as a first item; if the discount information implementing each target item is not identical and the cost information implementing each target item is not identical, determining the target item with the minimum cost information and the maximum discount information in at least one target item as a first item; if the discount information of each implemented target item is different and the cost information of each implemented target item is different, performing weighted operation on the discount information and the cost information of each implemented target item to obtain the discount degree of each target item; and determining the target item with the highest priority in the at least one target item as the first item.

And S106, generating recommendation information matched with the first event, and outputting the recommendation information.

After the electronic device determines the first event in the at least one target event, recommendation information may be generated, where the recommendation information is used to indicate the first event, for example, the recommendation information may include the first event, or the recommendation information may include an event identifier of the first event.

In one example, if the electronic device is a server, after the server generates the recommendation information, the recommendation may be sent to the client for display by the client.

In one example, if the electronic device is any one or more of a smartphone, a tablet, a laptop, a desktop computer, a smart car device, and a smart wearable device, the recommendation information may be displayed after the electronic device generates the recommendation information.

The information recommendation method disclosed by the embodiment of the application can be applied to tax planning scenes. In this scenario, the target object may be a tax payment subject, and the electronic device may obtain a tax preparation request (corresponding to the target request information in fig. 1), where the tax preparation request includes tax payment subject identification information (corresponding to the target object identification information in fig. 1); searching tax information (corresponding to the target information in fig. 1) matched with the tax payment subject corresponding to the tax payment subject identification information; analyzing the tax information to obtain at least one tax item (corresponding to the target item in fig. 1) contained in the tax information, wherein each tax item in the at least one tax item comprises at least one tax enforcement regulation; the method includes the steps of determining cost information and tax saving information (corresponding to the coupon information in fig. 1) of at least one tax item included in the executed tax information, determining a first tax item (corresponding to the first item in fig. 1) among the at least one tax item, based on the cost information and tax saving information of each executed tax item, wherein the cost information of executing the first tax item is smaller than the cost information of executing a second tax item (corresponding to the second item in fig. 1), and the tax saving information of executing the first tax item is greater than or equal to the tax saving information of executing a third tax item (corresponding to the third item in fig. 1), and generating tax planning information (corresponding to the recommendation information in fig. 1) matching the first tax item. The description of fig. 2 and fig. 3 may be referred to specifically.

Referring to fig. 2, fig. 2 is a schematic flowchart of another information recommendation method according to an embodiment of the present application; the information recommendation method shown in fig. 2 may be executed by an electronic device, and the scheme includes, but is not limited to, step S201-step S206, wherein:

s201, a tax planning request is obtained, and the tax planning request comprises tax payment main body identification information.

In a specific implementation, the electronic device may receive a tax preparation request sent by a client, or obtain a tax preparation request submitted by a user.

The tax preparation request in the embodiment of the application may include tax payment subject identification information. The tax payment subject identification information can be used for uniquely identifying the tax payment subject, and the tax payment subject identifications of different tax payment subjects are different. The tax payment subject may be a legal person or a natural person, and the tax payment subject identification information may include one or more of a name, an identification number, and the like.

As an alternative embodiment, if the tax payment subject is a corporate enterprise, the tax preparation request may further include enterprise identification information of the tax-related enterprise, where the enterprise identification information may include an enterprise name or a unified social credit code; or, the tax payment subject has a plurality of business activities or investment behaviors, the tax planning request may further include item identification information of tax-related items, and the item identification information may include an activity name of a business activity or a project name of an investment project, and is not limited by the embodiment of the present application.

As an optional implementation manner, after the electronic device obtains the tax planning request, the electronic device may obtain identity information of the tax payment subject, perform authentication processing on the tax payment subject according to the identity information of the tax payment subject, and after the authentication is passed, trigger execution of step S202, that is, search for tax information matched with the tax payment subject corresponding to the tax payment subject identification information; if the authentication is not passed, the electronic device may output prompt information, which may include description information for describing a reason why the authentication is not passed.

In one example, the identity information of the tax payer may include credit collection information of the tax payer, the electronic device may obtain the credit rating of the tax payer based on the credit collection information of the tax payer, and if the credit rating is greater than a preset ratio threshold, the electronic device may determine that the tax payer is authenticated; if the credit is less than or equal to the preset proportion threshold, the electronic device may determine that the authentication of the tax payment subject is not passed. For example, the credit investigation information may include one or more of the following: whether the tax payment subject has overdue records, the number of the overdue records and the time length of the overdue records, whether the tax payment subject identification information is located in a credit collection blacklist, and the credit collection blacklist records the tax payment subject identification information of the illegal credit collection behavior. For example, if there are three overdue records of the tax payer, the latest overdue record lasts for more than one year and is still overdue currently, the electronic device may determine that the credit of the tax payer is less than or equal to the preset ratio threshold.

Taking the electronic device as an example as a server, the identity information of the tax payment subject may be the resource amount in the business account of the tax payment subject, and then the server may determine whether the resource amount in the business account of the client is greater than or equal to the resource amount required to be paid by the tax planning request, and if so, authenticate the tax payment subject. Based on the method, after the server sends the tax planning information to the client, the client can transfer the resource amount required to be paid by the tax planning request in the business account to the associated account of the server. For another example, the identity information of the tax payment subject may be whether the tax payment subject is a registered user, and then the server may determine whether the client is a registered user, where the client may be registered as a registered user in a payment manner, and if the client is a registered user, then the authentication on the tax payment subject is passed. In this embodiment, if the tax payment subject is a legal person, other employees of the enterprise where the legal person is located may initiate a tax planning request by logging in the client, without paying additional fees. For another example, the identity information of the tax payment subject may be whether the tax payment subject is a legal tax payment user, and then the server may determine whether the tax payment subject is a legal tax payment user, or whether the tax payment subject has debt of refusing unreliation, and the like, and if so, authenticate the tax payment subject.

S202, tax information matched with the tax payment subject corresponding to the tax payment subject identification information is searched.

For example, after acquiring the tax preparation request, the electronic device may send a tax information search request to a tax management device (e.g., a tax management center or a tax management platform), where the tax information search request includes tax payment subject identification information. The tax administration equipment stores a plurality of tax information, and can respond to the tax information searching request and search the tax information matched with the tax payment subject corresponding to the tax payment subject identification information in the plurality of tax information. For another example, if the electronic device stores a plurality of tax information, after the electronic device obtains the tax planning request, the electronic device may search for tax information matching the tax payment subject corresponding to the tax payment subject identification information from the plurality of tax information. If the electronic device stores a plurality of tax information, after the electronic device obtains the tax planning request, it may be determined whether the tax information matched with the tax payment subject corresponding to the tax payment subject identification information is successfully found in the plurality of tax information, and if the tax information matched with the tax payment subject is successfully found, step S203 is further performed; if the tax information matched with the tax payment main body is not successfully searched, a tax information searching request is sent to the tax management equipment, the tax information searching request comprises tax payment main body identification information, the tax management equipment stores a plurality of tax information, and the tax management equipment can respond to the tax information searching request and search the tax information matched with the tax payment main body corresponding to the tax payment main body identification information in the tax payment information.

As an alternative embodiment, the tax preparation request may further include resource information indicating the resource amount (e.g., the offer amount) of the tax offer that may be obtained by the tax payer. Based on this, the electronic device may search, according to the resource information, tax information matched with the tax payment subject corresponding to the tax payment subject identification information, where the tax benefit indicated by the tax information matches the resource amount indicated by the resource information, for example, the tax benefit indicated by the tax information is less than or equal to the resource amount indicated by the resource information.

For example, the company K is mainly engaged in manufacturing water purification plants, and the company K may obtain financial funds from government offices, specifically as follows: the enterprise development fund taken from the street is 100 ten thousand, that is, the resource amount indicated by the resource information is 100 ten thousand. Wherein, XX Notification; providing fund transfer files for special purposes according to policy requirements a. b. And (c) establishing an independent accounting subject according to the related method established by the requirement, wherein the direct preferential policy is satisfied. The tax information searched by the electronic device according to the resource information may be "XX notification", and the tax benefit indicated by the tax information is equal to the resource amount indicated by the resource information.

As an alternative embodiment, the tax preparation request may further include tax identification information, which may be used to indicate tax information. Based on this, the electronic device may search for tax information corresponding to the tax identification information, and determine whether the tax information matches a tax payment subject corresponding to the tax payment subject identification information, if the tax information matches the tax payment subject corresponding to the tax payment subject identification information, then further execute step S203; if the tax information does not match the tax payment subject corresponding to the tax payment subject identification information, the electronic device may output notification information indicating that the tax payment subject corresponding to the tax payment subject identification information is not eligible to enjoy the tax benefits indicated by the tax information. For example, if the electronic device is a server, the server may send notification information to the client; if the electronic device is any one or more of a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart car device, and a smart wearable device, the electronic device may display the notification information.

In the embodiment of the application, the number of the tax information searched by the electronic device may be one or more. For example, if the tax payment subject is a legal person, and the legal person is a legal person of the XX enterprise, the electronic device may search all tax information matched by the XX enterprise, that is, all tax benefits that can be obtained by the XX enterprise.

For example, if the electronic device finds a plurality of tax information, the electronic device may perform steps S203-S206 for each tax information, i.e., the electronic device generates tax staging information about each tax information and outputs all tax staging information.

For another example, if the electronic device finds that the number of the tax information is multiple, the electronic device may obtain an association relationship between multiple tax information. If the association refers to: the tax payer may enjoy the benefit of each of the plurality of tax information at the same time, and the electronic device may perform steps S203-S206 for each of the tax information. If the association refers to: the electronic equipment can analyze and process each tax information in the at least two tax information to obtain all tax matters contained in each tax information, determine cost information and tax saving information for implementing each tax matter according to at least one tax implementation rule example included in each tax matter, and determine a first tax matter in all tax matters contained in the at least two tax information according to the cost information and tax saving information for implementing each tax matter; regarding other tax information of the plurality of tax information other than the at least two tax information, then the electronic device may perform steps S203-S206 for each of the other tax information.

S203, the tax information is analyzed to obtain at least one tax affair contained in the tax information, and each tax affair in the at least one tax affair comprises at least one tax embodiment.

The tax matters refer to policies, preferential requirements, and the like, and the tax enforcement regulations refer to policy entries, preferential conditions, and the like. For example, if the tax information is: first, XX Notification: the financial funds which are acquired by enterprises from financial departments and other departments of the people's governments at all levels above the county level and which are subject to the total income amount are taken as non-taxation income and are subtracted from the total income amount when the income amount which is subject to tax is calculated, wherein the financial funds meet the following conditions: (1) enterprises can provide fund transfer files for special purposes of specified funds; (2) the financial department or other government departments which dial in funds have special fund management methods or specific management requirements for the funds; (3) the business separately accounts for the funds and the expenses incurred at the funds. II, secondly: the tax payment subject satisfies any one of the following conditions: the obtained amount is less than 300 ten thousand; the number of people is less than 300. Then the electronic device parses the tax information to obtain four tax matters.

TABLE 1

As shown in table 1, the first tax transaction may include four tax embodiment regulations, respectively: providing a fund transfer file for special purposes; making a fund management method; establishing independent accounting subjects; the resulting amount is less than 300 ten thousand. In addition, the second tax transaction includes four tax enforcement regulations, which are: providing a fund transfer file for special purposes; making a fund management method; establishing independent accounting subjects; the number of people is less than 300. The third tax transaction includes four tax embodiment rules, respectively: providing a fund transfer file for special purposes; making a fund management requirement; establishing independent accounting subjects; the resulting amount is less than 300 ten thousand. The fourth tax transaction includes four tax embodiment rules, which are: providing a fund transfer file for special purposes; making a fund management requirement; establishing independent accounting subjects; the number of people is less than 300.

As an optional implementation manner, if the electronic device is a server, the server analyzes the tax information, and after at least one tax item included in the tax information is obtained, prompt information may be sent to the client, where the prompt information is used to prompt the tax payment principal to select a tax item that needs to be tax financed, the user may select a target tax item among the at least one tax item, the client sends the target tax item to the server, and the server may only perform tax financing on the target tax item.

As an optional implementation manner, if the electronic device is any one or more of a smart phone, a tablet computer, a notebook computer, a desktop computer, an intelligent vehicle-mounted device, and an intelligent wearable device, the electronic device analyzes tax information, and after at least one tax item included in the tax information is obtained, prompt information may be displayed, the prompt information is used to prompt the tax payment main body to select the tax item that needs to be subjected to tax planning, a user may select a target tax item in the at least one tax item, and after the electronic device detects a selection operation of the user, the electronic device may only perform tax planning on the target tax item.

S204, determining cost information and tax saving information for implementing each tax affair according to at least one tax implementation regulation included in each tax affair.

In one example, the administrator may set, in advance, a cost weight and a cost value of each tax enforcement provision by the electronic device, and then after acquiring at least one tax item, the electronic device may perform a weighted summation operation on the cost values of all tax enforcement provisions included in each tax item to obtain cost information for implementing each tax item.

In another example, the administrator may preset, by the electronic device, a cost coefficient of each tax enforcement provision, and then after obtaining at least one tax affair, the electronic device may multiply the cost coefficient of each tax enforcement provision included in each tax affair by the basic parameter to obtain a cost value of each tax enforcement provision, and further add the cost values of all tax enforcement provisions included in each tax affair to obtain cost information for implementing each tax affair. As shown in table 1, for the first tax affair, the first tax affair includes four tax embodiment regulations, where the cost coefficient of the tax embodiment regulation "provide special purpose fund transfer file" is x1, the cost coefficient of the tax embodiment regulation "make fund management method" is x2, the cost coefficient of the tax embodiment regulation "set up independent accounting subject" is x3, the cost coefficient of the tax embodiment regulation "obtain less than 300 ten thousand" is x4, and assuming that the basic parameter is m and m is a natural number greater than zero, the electronic device may determine that the cost information of the first tax affair is (x1+ x2+ x3+ x4) m.

In addition, the electronic device may also determine tax savings information for implementing each tax transaction. The tax-saving information for implementing different tax matters may be the same or different.

For example, the company K obtains 100 ten thousand enterprise development funds from the street, the electronic device obtains four tax matters, and the electronic device can determine that the tax saving information for implementing each tax matter is 100 ten thousand.

S205, according to the cost information and the tax saving information of each tax affair, a first tax affair is determined in at least one tax affair.

The cost information for implementing the first tax matters is less than the cost information for implementing the second tax matters, the tax saving information for implementing the first tax matters is more than or equal to the tax saving information for implementing the third tax matters, the second tax matters are one or more tax matters except the first tax matters in at least one tax matters, and the third tax matters are one or more tax matters except the first tax matters in at least one tax matters.

As an alternative embodiment, if the tax saving information implementing different tax matters is the same, the electronic device may use the tax matter with the smallest cost information as the first tax matter. For example, if the company K obtains 100 ten thousand of enterprise development funds from the street, and the electronic device obtains four tax matters, wherein the tax saving information for implementing each tax matter is 100 ten thousand, the electronic device may use the tax matter with the smallest cost information of the four tax matters as the first tax matter. The embodiment of the application can determine the tax affair with the minimum cost information under the condition that tax saving information for implementing different tax affairs is the same, so as to realize benefit maximization.

As an alternative embodiment, if the cost information for implementing different tax matters is the same, the electronic device may use the tax matter with the largest tax saving information as the first tax matter. According to the embodiment of the application, under the condition that cost information for implementing different tax matters is the same, the tax matters with the maximum tax saving information can be determined, so that benefit maximization is realized by a client.

As an optional implementation manner, if the cost information and the tax saving information of different tax matters are different, the electronic device may determine whether there is a tax matter with the minimum cost information and the maximum tax saving information in the multiple tax matters, and if so, take the tax matter as the first tax matter; if the tax information does not exist, the electronic equipment can perform weighted operation on each tax item according to the preset weight of the cost information and the preset weight of the tax saving information to obtain the preferential value of each tax item, and then the tax item with the maximum preferential value is used as the first tax item. For example, if the preset weight of the cost information is M1, the weight of the tax saving information is M2, and M1+ M2 is 1, and the cost information of the tax affair is 10 ten thousand, and the tax saving information is 100 ten thousand, the preferential value of the tax affair may be 100M2-10M 1.

As an alternative embodiment, if there is no tax item with the minimum cost information and the maximum tax saving information among the multiple tax items, the electronic device may output notification information, where the notification information includes cost information and tax saving information of each tax item, a user selects a target tax item among the multiple tax items based on the cost information and tax saving information of each tax item, and the electronic device may use the target tax item as the first tax item.

It is to be understood that the determination manner for the purpose of low cost and high tax saving (i.e. benefit maximization) can be used as the manner for determining the first tax affair by the electronic device, and is not limited by the embodiment of the present application.

And S206, generating tax planning information matched with the first tax item, and outputting the tax planning information.

In one example, if the electronic device is a server, after the server generates tax preparation information, the tax preparation information may be sent to the client for display by the client.

In one example, if the electronic device is any one or more of a smartphone, a tablet, a laptop, a desktop computer, a smart car device, and a smart wearable device, the tax preparation information may be displayed after the electronic device generates the tax preparation information.

In the embodiment of the application, cost information and tax saving information of at least one tax item contained in the implementation tax information can be determined, and a first tax item is determined in the at least one tax item according to the cost information and tax saving information of each tax item, wherein the cost information for implementing the first tax item is less than the cost information for implementing the second tax item, and the tax saving information for implementing the first tax item is greater than or equal to the tax saving information for implementing the third tax item, so as to generate tax planning information matched with the first tax item, and intelligently analyze target information and recommend the first item meeting the user's intention to the user.

Referring to fig. 3, fig. 3 is a schematic flowchart of another information recommendation method according to an embodiment of the present application; the information recommendation method shown in fig. 3 may be executed by an electronic device, and the scheme includes, but is not limited to, step S301 to step S313, wherein:

s301, a tax planning request is obtained, and the tax planning request comprises tax payment main body identification information.

S302, tax information matched with the tax payment subject corresponding to the tax payment subject identification information is searched.

S303, analyzing the tax information to obtain at least one tax affair contained in the tax information, wherein each tax affair in the at least one tax affair comprises at least one tax enforcement regulation.

S304, determining cost information and tax saving information for implementing each tax affair according to at least one tax implementation regulation included in each tax affair.

S305, judging whether the tax saving information of each tax affair is the same.

And S306, if the tax saving information of each executed tax affair is the same, determining the tax affair with the minimum cost information in at least one tax affair as the first tax affair.

S307, if the tax saving information of each executed tax affair is not identical, judging whether the cost information of each executed tax affair is identical or not.

S308, if the cost information of each tax affair is the same, determining the tax affair with the maximum tax-saving information in at least one tax affair as the first tax affair.

S309, if the cost information of each executed tax affair is not identical, judging whether at least one tax affair has the tax affair with the minimum cost information and the maximum tax saving information.

And S310, if at least one tax affair has the tax affair with the minimum cost information and the maximum tax saving information, determining the tax affair as a first tax affair.

S311, if at least one tax affair does not have the tax affair with the minimum cost information and the maximum tax saving information, carrying out weighted operation on the tax saving information and the cost information of each tax affair to obtain the preferential degree of each tax affair.

S312, determining the tax affair with the highest preferential degree in at least one tax affair as the first tax affair.

S313, generates tax preparation information matching the first tax item, and outputs the tax preparation information.

In the embodiment of the application, if the tax saving information of each tax affair is the same, the tax affair with the minimum cost information in at least one tax affair is determined as a first tax affair; if the tax saving information of each executed tax affair is not completely the same and the cost information of each executed tax affair is the same, determining the tax affair with the maximum tax saving information in at least one tax affair as a first tax affair; if the cost information of each executed tax affair is not identical, and at least one tax affair has the tax affair with the minimum cost information and the maximum tax saving information, determining the tax affair as a first tax affair; if the tax matters with the minimum cost information and the maximum tax saving information do not exist in the at least one tax item, carrying out weighted operation on the tax saving information and the cost information of each tax item to obtain the preferential degree of each tax item, determining the tax item with the highest preferential degree in the at least one tax item as a first tax item, further generating tax planning information matched with the first tax item, and outputting the tax planning information, so that the target information can be intelligently analyzed, and the first item meeting the user's intention is recommended to the user.

The embodiment of the present application further provides a computer storage medium, in which program instructions are stored, and when the program instructions are executed, the computer storage medium is used for implementing the corresponding method described in the above embodiment.

Referring to fig. 4 again, fig. 4 is a schematic structural diagram of an information recommendation device according to an embodiment of the present application.

In one implementation of the apparatus of the embodiment of the application, the apparatus includes the following structure.

An obtaining unit 401, configured to obtain target request information, where the target request information includes target object identification information;

a processing unit 402, configured to obtain target information matched with the target object according to the target object identification information;

the processing unit 402 is further configured to analyze the target information to obtain at least one target item included in the target information;

a processing unit 402, further configured to determine cost information and benefit information for implementing each of the at least one objective item;

the processing unit 402 is further configured to determine a first event among the at least one target event according to cost information for implementing each target event and benefit information, wherein the cost information for implementing the first event is less than the cost information for implementing a second event, and the benefit information for implementing the first event is greater than or equal to the benefit information for implementing a third event, the second event is one or more target events of the at least one target event except the first event, and the third event is one or more target events of the at least one target event except the first event;

the processing unit 402 is further configured to generate recommendation information matching the first event;

an output unit 403, configured to output the recommendation information.

the processing unit 402 obtains target information matched with the target object according to the target object identification information, including:

In one implementation, the target request information further includes identification information, the identification information indicating the target information;

searching target information corresponding to the identification information;

In an embodiment, the obtaining unit 401 is further configured to, after obtaining the target request information, obtain identity information of the target object;

the processing unit 402 is further configured to perform authentication processing on the target object according to the identity information; and after the authentication is passed, triggering and executing to acquire target information matched with the target object according to the target object identification information.

In an embodiment, the output unit 403 is further configured to output a prompt message after the processing unit 402 parses the target information to obtain at least one target item included in the target information, where the prompt message includes the at least one target item;

a processing unit 402, further configured to determine a selected target item in response to a selection operation on at least one target item;

processing unit 402 determines cost information and benefit information for implementing each of the at least one objective items, including:

In one embodiment, the processing unit 402 determines a first event in the at least one target event according to the cost information and the offer information for implementing each target event, including:

In one embodiment, the processing unit 402 determines the first event in the at least one target event according to the cost information and the offer information for implementing each target event, further comprising:

Referring to fig. 5 again, fig. 5 is a schematic structural diagram of an electronic device provided in the embodiment of the present application, where the electronic device in the embodiment of the present application includes a power supply module and the like, and includes a processor 501, a memory 502, and a communication interface 503. Data can be exchanged between the processor 501, the memory 502 and the communication interface 503, and the processor 501 implements a corresponding data processing scheme.

Memory 502 may include volatile memory (volatile memory), such as random-access memory (RAM); the memory 502 may also include a non-volatile memory (non-volatile memory), such as a flash memory (flash memory), a solid-state drive (SSD), etc.; the memory 502 may also comprise a combination of memories of the kind described above.

The processor 501 may be a Central Processing Unit (CPU) 501. The processor 501 may also be a combination of a CPU and a GPU. In the electronic device, a plurality of CPUs and GPUs may be included as necessary to perform corresponding data processing. In one embodiment, memory 502 is used to store program instructions. The processor 501 may invoke program instructions to implement the various methods as described above in the embodiments of the present application.

In a first possible implementation, the processor 501 of the electronic device calls program instructions stored in the memory 502 for performing the following operations:

acquiring target request information through the communication interface 503, the target request information including target object identification information;

determining a first event among the at least one object event based on cost information and benefit information for implementing each object event, wherein the cost information for implementing the first event is less than cost information for implementing a second event, and the benefit information for implementing the first event is greater than or equal to benefit information for implementing a third event, the second event being one or more object events of the at least one object event other than the first event, the third event being one or more object events of the at least one object event other than the first event;

generating recommendation information matched with the first event;

the recommendation information is output through the communication interface 503.

when acquiring the target information matched with the target object according to the target object identification information, the processor 501 specifically executes the following operations:

searching target information corresponding to the identification information;

In one embodiment, processor 501 is further configured to perform the following operations:

after acquiring the target request information through the communication interface 503, acquiring the identity information of the target object;

carrying out authentication processing on the target object according to the identity information; and after the authentication is passed, triggering and executing to acquire target information matched with the target object according to the target object identification information.

after analyzing the target information and obtaining at least one target item contained in the target information, outputting prompt information, wherein the prompt information comprises the at least one target item;

when determining the cost information and the benefit information for implementing each of the at least one target item, the processor 501 specifically performs the following operations:

In one embodiment, when determining the first item of the at least one target item according to the cost information and the preference information for implementing each target item, the processor 501 specifically performs the following operations:

In one embodiment, processor 501 determines a first event in at least one target event based on cost information and offer information for implementing each target event, and further performs the following operations:

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like. The computer-readable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the blockchain node, and the like.

The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism and an encryption algorithm. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.

While the invention has been described with reference to a number of embodiments, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims

1. An information recommendation method, comprising:

determining cost information and benefit information for implementing each of the at least one objective item;

determining a first event among the at least one object based on cost information for implementing the each object and benefit information, wherein the cost information for implementing the first event is less than cost information for implementing a second event, the second event being one or more of the at least one object other than the first event, and the benefit information for implementing the first event is greater than or equal to benefit information for implementing a third event, the third event being one or more of the at least one object other than the first event;

2. The method of claim 1, wherein the target request information further includes resource information indicating an amount of resources that are available to the target object;

the acquiring target information matched with the target object according to the target object identification information includes:

3. The method of claim 1, wherein the target request information further includes identification information indicating target information;

searching target information corresponding to the identification information;

and if the target information is matched with the target object, triggering and executing the analysis processing of the target information to obtain at least one target item contained in the target information.

4. The method of claim 1, wherein after obtaining the target request information, further comprising:

acquiring identity information of the target object;

and after the authentication is passed, triggering and executing the target information matched with the target object according to the target object identification information.

5. The method according to claim 1, wherein after the parsing the target information to obtain at least one target item included in the target information, the method further comprises:

outputting prompt information, wherein the prompt information comprises the at least one target item;

in response to a selection operation of the at least one target item, determining a selected target item;

the determining cost information and preference information for implementing each of the at least one objective item includes:

6. The method of claim 1, wherein said determining a first event in said at least one goal based on cost information and offer information for implementing said each goal comprises:

if the preference information for implementing each target item is the same, determining the target item with the minimum cost information in the at least one target item as the first item;

if the cost information for implementing each target item is the same, determining the target item with the maximum preferential information in the at least one target item as the first item;

and if the preference information for implementing each target item is not identical and the cost information for implementing each target item is not identical, determining the target item with the minimum cost information and the maximum preference information in the at least one target item as the first item.

7. The method of claim 6, wherein said determining a first event in said at least one goal based on cost information and offer information for implementing said each goal, further comprises:

if the discount information implementing each target item is different and the cost information implementing each target item is different, performing weighted operation on the discount information implementing each target item and the cost information to obtain the discount degree of each target item;

and determining the target item with the highest privilege level in the at least one target item as the first item.

8. An information recommendation apparatus, characterized in that the apparatus comprises:

an acquisition unit configured to acquire target request information, where the target request information includes target object identification information;

the processing unit is further configured to analyze the target information to obtain at least one target item included in the target information;

the processing unit is further used for determining cost information and preference information for implementing each target item in the at least one target item;

the processing unit is further configured to determine a first event among the at least one target event according to cost information for implementing the each target event and benefit information, wherein the cost information for implementing the first event is less than cost information for implementing a second event, and the benefit information for implementing the first event is greater than or equal to benefit information for implementing a third event, the second event is one or more target events of the at least one target event except the first event, and the third event is one or more target events of the at least one target event except the first event;

the processing unit is further used for generating recommendation information matched with the first event;

and the output unit is used for outputting the recommendation information.

9. An electronic device, comprising a processor, a memory and a communication interface, the processor, the memory and the communication interface being interconnected, wherein the memory is configured to store computer program instructions and the processor is configured to execute the program instructions to implement the information recommendation method of any one of claims 1-7.

10. A computer-readable storage medium, having stored thereon computer program instructions, which, when executed by a processor, are adapted to perform the information recommendation method of any one of claims 1-7.