CN111552894A - Method, system and server for pushing information - Google Patents

Method, system and server for pushing information Download PDF

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Publication number
CN111552894A
CN111552894A CN202010359734.4A CN202010359734A CN111552894A CN 111552894 A CN111552894 A CN 111552894A CN 202010359734 A CN202010359734 A CN 202010359734A CN 111552894 A CN111552894 A CN 111552894A
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user
information
preferential
pushing
mobile terminal
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张盼盼
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Bank of China Ltd
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Bank of China Ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9537—Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42—Determining position
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/06—Asset management; Financial planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/01—Social networking
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/50—Network services
    • H04L67/55—Push-based network services

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Abstract

The application discloses a method, a system and a server for pushing information, wherein the method comprises the following steps: acquiring the position of a target user; acquiring preferential information of the financial institution corresponding to the position according to the position; and pushing the preferential information to a mobile terminal used by the user. The method for pushing the information, which is improved by the embodiment of the sample application, can avoid the situation that the user cannot obtain the preferential information after going from the local place to the different place. The financial institution can provide more accurate preferential information for the user according to the position of the user, and the user can also obtain more accurate push information. Therefore, the user behavior can be guided more accurately, the time of the user is saved, and the experience perception of the user is improved.

Description

Method, system and server for pushing information
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method, a system, and a server for pushing information.
Background
The public number is used as a main body of a service account of official authentication, and can be used for pushing various messages to a user, for example: coupon information, etc.
When a public number pushes a message to a user, the user must be a fan user of the public number, that is, when the user must pay attention to the public number, the public number can only push the message to the user.
Financial institutions may issue preferential information through public numbers, but most users only pay attention to the public number of local financial institutions, but not to the public number of remote financial institutions, for example: the user of Anhui pays attention to the public number of the Anhui financial institution, can obtain the preferential information issued by the public number of the Anhui financial institution, and cannot obtain the preferential information of the financial institution in different places when the user of Anhui goes on a business trip or travels in different places. For users going on a business trip or traveling in different places, the preferential information cannot be accurately obtained. The user is required to search the preferential information by himself, time and energy of the user are wasted, and experience perception of the user is reduced.
Disclosure of Invention
In order to solve the technical problem, the application provides a method, a system and a server for pushing information. The financial institution can provide more accurate preferential information for the user according to the position of the user, and the user can also obtain more accurate push information. Therefore, the user behavior can be guided more accurately, the time of the user is saved, and the experience perception of the user is improved.
The embodiment of the application discloses the following technical scheme:
in a first aspect, the present application provides a method for pushing information, including:
acquiring the position of a target user;
acquiring preferential information of the financial institution corresponding to the position according to the position;
and pushing the preferential information to a mobile terminal used by the user.
As an optional implementation, the method further comprises:
acquiring a historical service record of the target user;
generating preferential information associated with the user according to the historical business record;
the pushing the preference information to the mobile terminal used by the user comprises:
and sequencing the associated preferential information according to the degree of association, and pushing the associated preferential information to a mobile terminal used by the user in sequence.
As an optional implementation, the method further comprises:
acquiring the preferential amount of the associated preferential information;
and marking the preferential information of which the preferential amount is higher than a preset threshold value.
As an optional implementation, the method further comprises:
acquiring a processing result of the target user on the received discount information;
and analyzing the acceptable degree of the preference information according to the processing result.
As an optional implementation manner, the analyzing, according to the processing result, the acceptable degree of the offer information includes:
inputting the historical service record of the target user and the processing result into an analysis model to obtain the acceptable degree;
the analysis model is obtained through training data, and the training data comprises historical business records of the user, processing results of the user on the preferential information and the acceptable degree of the user.
As an optional implementation manner, the pushing the offer information to the mobile terminal used by the user includes:
and pushing the preferential information to a mobile terminal used by the user according to the message pushing mode, time period and/or frequency preset by the user.
In a second aspect, the present application provides a system for pushing information, comprising: the device comprises a positioning module, an acquisition module and a processing module;
the positioning module is used for acquiring the position of a target user;
the acquisition module is used for acquiring the discount information of the financial institution corresponding to the position according to the position;
and the processing module is used for pushing the preference information to the mobile terminal used by the user.
As an optional implementation manner, the obtaining module is further configured to obtain a historical service record of the target user; generating preferential information associated with the user according to the historical business record;
the processing module is further configured to sort the associated offer information according to the degree of association, and push the associated offer information to the mobile terminal used by the user in order.
As an optional implementation manner, the obtaining module is further configured to obtain a coupon amount of the associated coupon information;
the processing module is further used for marking the preferential information of which the preferential amount is higher than a preset threshold value.
As an optional implementation manner, the obtaining module is further configured to obtain a processing result of the target user on the received benefit information;
and the processing module is also used for analyzing the acceptable degree of the discount information according to the processing result.
As an optional implementation manner, the processing module is further configured to input the historical service record of the target user and the processing result into an analysis model to obtain the acceptable degree;
the analysis model is obtained through training data, and the training data comprises historical business records of the user, processing results of the user on the preferential information and the acceptable degree of the user.
As an optional implementation manner, the processing module is further configured to push the benefit information to a mobile terminal used by the user according to a message pushing manner, a time period, and/or a frequency preset by the user.
In a third aspect, the present application provides a server comprising a system as described in any one of the possible embodiments of the second aspect of the present application.
The system comprises a positioning module, a storage module and a display module, wherein the positioning module is used for acquiring the position of a target user;
the acquisition module of the system is used for acquiring the discount information of the financial institution corresponding to the position according to the position:
and the processing module of the system is used for pushing the discount information to the mobile terminal used by the user.
As an optional implementation manner, the obtaining module of the system is further configured to obtain a historical service record of the target user; generating preferential information associated with the user according to the historical business record;
and the processing module of the system is also used for sequencing the associated preferential information according to the association degree and pushing the associated preferential information to the mobile terminal used by the user according to the sequence.
As an optional implementation manner, the obtaining module of the system is further configured to obtain a preferential amount of the associated preferential information;
and the processing module of the system is also used for marking the preferential information of which the preferential amount is higher than a preset threshold value.
As an optional implementation manner, the obtaining module of the system is further configured to obtain a processing result of the target user on the received benefit information;
and the processing module of the system is also used for analyzing the acceptable degree of the discount information according to the processing result.
As an optional implementation manner, the processing module of the system is further configured to input the historical service record of the target user and the processing result into an analysis model to obtain the acceptable degree;
the analysis model is obtained through training data, and the training data comprises historical business records of the user, processing results of the user on the preferential information and the acceptable degree of the user.
As an optional implementation manner, the processing module of the system is further configured to push the benefit information to the mobile terminal used by the user according to a manner, a time period, and/or a frequency of pushing messages preset by the user.
According to the technical scheme, the method has the following advantages:
the invention provides a method for pushing information, which comprises the following steps: acquiring the position of a target user; acquiring preferential information of the financial institution corresponding to the position according to the position; and pushing the preferential information to a mobile terminal used by the user. The method for pushing the information, which is improved by the embodiment of the sample application, can avoid the situation that the user cannot obtain the preferential information after going from the local place to the different place. The financial institution can provide more accurate preferential information for the user according to the position of the user, and the user can also obtain more accurate push information. Therefore, the user behavior can be guided more accurately, the time of the user is saved, and the experience perception of the user is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a flowchart of a method for pushing information according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of a system for pushing information according to an embodiment of the present disclosure.
Detailed Description
In the prior art, the preferential information is pushed based on the mutual attention relationship between the public number and the fan, so when a user goes on a business trip or travels in a different place, the preferential information of a financial institution in the different place cannot be obtained. For users going on a business trip or traveling in different places, the preferential information cannot be accurately obtained. The user is required to search the preferential information by himself, time and energy of the user are wasted, and experience perception of the user is reduced.
In order to solve the above problems, the present application provides a method, a system, and a server for pushing information.
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The first embodiment is as follows:
an embodiment of the present application provides a method for pushing information, which is described in detail below with reference to the accompanying drawings.
Referring to fig. 1, the figure is a flowchart of a method for pushing information according to an embodiment of the present application.
The information pushing method comprises the following steps:
step 101: and acquiring the position of the target user.
The obtaining of the location of the target user may be obtaining the location of the user through a mobile terminal used by the target user, and the location of the mobile terminal may also be used as the location of the user.
How to obtain the location of the mobile terminal in the embodiment of the present application is described in detail below.
The process of acquiring the position of the mobile terminal can be to acquire the position of the mobile terminal through a GPS positioning module arranged in the mobile terminal; in the process of acquiring the location of the mobile terminal, the mobile terminal may also send location confirmation information to a base station near the mobile terminal, and the location of the mobile terminal is acquired through location information fed back by the base station.
Step 102: and acquiring the preferential information of the financial institution corresponding to the position according to the position.
It can be understood that the preferential information may be a financial product preferential option provided by the financial institution, or may be a combination of multiple financial product preferential options. Those skilled in the art can divide the offer information into the first offer information, the second offer information, and the like, and the embodiment of the present application does not limit the type and the number of the offer information.
As a possible implementation, the method further comprises: acquiring a historical service record of the target user; generating preferential information associated with the user according to the historical business record; the pushing the preference information to the mobile terminal used by the user comprises: and sequencing the associated preferential information according to the degree of association, and pushing the associated preferential information to a mobile terminal used by the user in sequence.
It is understood that the historical service record may be the kind and amount of the prior use of the offer information by the user.
The historical service record of the target user can be obtained in advance, and first benefit information and second benefit information which are associated with the target user are generated according to the historical service record of the target user which is obtained in advance.
And sorting the first preferential information and the second preferential information according to the association degree between the first preferential information and the target user and the association degree between the second preferential information and the target user, wherein the preferential information with high association degree can be arranged at the front part of the queue, and the preferential information with low association degree can be arranged at the rear part of the queue.
And sequentially pushing the queued preferential information to the mobile terminal used by the user.
As a possible implementation, the method further comprises: acquiring the preferential amount of the associated preferential information; and marking the preferential information of which the preferential amount is higher than a preset threshold value.
Before the information is pushed to the target user, the preferential amount of each preferential information is calculated first, and the user does not need to manually calculate the preferential amount. And marking the preferential information with larger preferential amount to prompt the user that the preferential amount of the preferential information is larger.
As a possible implementation manner, acquiring a processing result of the target user on the received preference information; and analyzing the acceptable degree of the preference information according to the processing result.
After the mobile terminal used by the target user receives the benefit information, the mobile terminal records the processing result of the target user on the benefit information, for example: closing the preferential information, clicking to check the preferential information, utilizing the preferential information and the like.
After the processing result is obtained, the acceptable degree of the preference information can be generated according to the speed of closing the preference information by the user, the time for checking the preference information and/or whether the preference information is utilized.
As a possible implementation manner, the analyzing, according to the processing result, the acceptable degree of the offer information includes: inputting the historical service record of the target user and the processing result into an analysis model to obtain the acceptable degree; the analysis model is obtained through training data, and the training data comprises historical business records of the user, processing results of the user on the preferential information and the acceptable degree of the user.
The historical business records of the user and the processing results, as well as the corresponding acceptability, may be stored in a database to form training data.
And training the analysis model through the training data, so that the accuracy of the analysis module for analyzing the acceptable degree is improved.
The analysis model can be used for customizing different preferential information according to different users so as to attract the users and increase the viscosity of the users.
Step 103: and pushing the preferential information to a mobile terminal used by the user.
As a possible implementation manner, the pushing the offer information to the mobile terminal used by the user includes: and pushing the preferential information to a mobile terminal used by the user according to the message pushing mode, time period and/or frequency preset by the user.
The method for pushing the information provided by the embodiment of the application comprises the following steps: acquiring the position of a target user; acquiring preferential information of the financial institution corresponding to the position according to the position; and pushing the preferential information to a mobile terminal used by the user. The method for pushing the information, which is improved by the embodiment of the sample application, can avoid the situation that the user cannot obtain the preferential information after going from the local place to the different place. The financial institution can provide more accurate preferential information for the user according to the position of the user, and the user can also obtain more accurate push information. Therefore, the user behavior can be guided more accurately, the time of the user is saved, and the experience perception of the user is improved.
Example two:
the second embodiment of the present application provides a system for pushing information, which is described in detail below with reference to the accompanying drawings.
Referring to fig. 2, the figure is a schematic diagram of a system for pushing information according to an embodiment of the present application.
The information pushing system comprises: a positioning module 201, an acquisition module 202 and a processing module 203.
The positioning module 201 is configured to obtain a location of a target user.
The obtaining module 202 is configured to obtain, according to the location, the offer information of the financial institution corresponding to the location.
The processing module 203 is configured to push the benefit information to a mobile terminal used by the user.
As an optional implementation manner, the obtaining module 202 is further configured to obtain a historical service record of the target user; generating preferential information associated with the user according to the historical business record; the processing module 203 is further configured to sort the associated benefit information according to the degree of association, and push the associated benefit information to the mobile terminal used by the user in order.
As an optional implementation manner, the obtaining module 202 is further configured to obtain a preferential amount of the associated preferential information; the processing module 203 is further configured to mark the coupon information that the coupon amount is higher than a preset threshold.
As an optional implementation manner, the obtaining module 202 is further configured to obtain a processing result of the target user on the received benefit information; the processing module 203 is further configured to analyze an acceptable degree of the offer information according to the processing result.
As an optional implementation manner, the processing module 203 is further configured to input the historical service record of the target user and the processing result into an analysis model to obtain the acceptable degree; the analysis model is obtained through training data, and the training data comprises historical business records of the user, processing results of the user on the preferential information and the acceptable degree of the user.
As an optional implementation manner, the processing module 203 is further configured to push the benefit information to a mobile terminal used by the user according to a manner, a time period, and/or a frequency of a push message preset by the user.
The system for pushing information provided by the embodiment of the application comprises: a positioning module 201, an acquisition module 202 and a processing module 203. The positioning module 201 is configured to obtain a location of a target user. The obtaining module 202 is configured to obtain, according to the location, the offer information of the financial institution corresponding to the location. The processing module 203 is configured to push the benefit information to a mobile terminal used by the user. The method for pushing the information, which is improved by the embodiment of the sample application, can avoid the situation that the user cannot obtain the preferential information after going from the local place to the different place. The financial institution can provide more accurate preferential information for the user according to the position of the user, and the user can also obtain more accurate push information. Therefore, the user behavior can be guided more accurately, the time of the user is saved, and the experience perception of the user is improved.
Example three:
a third embodiment of the present application provides a server, where the server includes the system described in any one of the possible implementation manners of the second embodiment of the present application.
The system comprises a positioning module, a storage module and a display module, wherein the positioning module is used for acquiring the position of a target user; the acquisition module of the system is used for acquiring the discount information of the financial institution corresponding to the position according to the position; and the processing module of the system is used for pushing the discount information to the mobile terminal used by the user.
As an optional implementation manner, the obtaining module of the system is further configured to obtain a historical service record of the target user; generating preferential information associated with the user according to the historical business record; and the processing module of the system is also used for sequencing the associated preferential information according to the association degree and pushing the associated preferential information to the mobile terminal used by the user according to the sequence.
As an optional implementation manner, the obtaining module of the system is further configured to obtain a preferential amount of the associated preferential information; and the processing module of the system is also used for marking the preferential information of which the preferential amount is higher than a preset threshold value.
As an optional implementation manner, the obtaining module of the system is further configured to obtain a processing result of the target user on the received benefit information; and the processing module of the system is also used for analyzing the acceptable degree of the discount information according to the processing result.
As an optional implementation manner, the processing module of the system is further configured to input the historical service record of the target user and the processing result into an analysis model to obtain the acceptable degree; the analysis model is obtained through training data, and the training data comprises historical business records of the user, processing results of the user on the preferential information and the acceptable degree of the user.
As an optional implementation manner, the processing module of the system is further configured to push the benefit information to the mobile terminal used by the user according to a manner, a time period, and/or a frequency of pushing messages preset by the user.
By using the server, the financial institution can provide more accurate preferential information for the user according to the position of the user, and the user can also obtain more accurate push information. Therefore, the user behavior can be guided more accurately, the time of the user is saved, and the experience perception of the user is improved.
The above description is only one specific embodiment of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present application should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (13)

1. A method for pushing information, comprising:
acquiring the position of a target user;
acquiring preferential information of the financial institution corresponding to the position according to the position;
and pushing the preferential information to a mobile terminal used by the user.
2. The method of claim 1, further comprising:
acquiring a historical service record of the target user;
generating preferential information associated with the user according to the historical business record;
the pushing the preference information to the mobile terminal used by the user comprises:
and sequencing the associated preferential information according to the degree of association, and pushing the associated preferential information to a mobile terminal used by the user in sequence.
3. The method of claim 2, further comprising:
acquiring the preferential amount of the associated preferential information;
and marking the preferential information of which the preferential amount is higher than a preset threshold value.
4. The method of claim 3, further comprising:
acquiring a processing result of the target user on the received discount information;
and analyzing the acceptable degree of the preference information according to the processing result.
5. The method of claim 4, wherein analyzing the acceptability of the offer information according to the processing result comprises:
inputting the historical service record of the target user and the processing result into an analysis model to obtain the acceptable degree;
the analysis model is obtained through training data, and the training data comprises historical business records of the user, processing results of the user on the preferential information and the acceptable degree of the user.
6. The method according to any of claims 1-5, wherein the pushing the offer information to the mobile terminal used by the user comprises:
and pushing the preferential information to a mobile terminal used by the user according to the message pushing mode, time period and/or frequency preset by the user.
7. A system for pushing information, comprising: the device comprises a positioning module, an acquisition module and a processing module;
the positioning module is used for acquiring the position of a target user;
the acquisition module is used for acquiring the discount information of the financial institution corresponding to the position according to the position;
and the processing module is used for pushing the preference information to the mobile terminal used by the user.
8. The system of claim 7, wherein the obtaining module is further configured to obtain a historical service record of the target user; generating preferential information associated with the user according to the historical business record;
the processing module is further configured to sort the associated offer information according to the degree of association, and push the associated offer information to the mobile terminal used by the user in order.
9. The system of claim 8, wherein the obtaining module is further configured to obtain a coupon amount of the associated offer information;
the processing module is further used for marking the preferential information of which the preferential amount is higher than a preset threshold value.
10. The system according to claim 9, wherein the obtaining module is further configured to obtain a processing result of the target user on the received offer information;
and the processing module is also used for analyzing the acceptable degree of the discount information according to the processing result.
11. The system of claim 10, wherein the processing module is further configured to input the historical business records of the target user and the processing result into an analysis model to obtain the acceptable degree;
the analysis model is obtained through training data, and the training data comprises historical business records of the user, processing results of the user on the preferential information and the acceptable degree of the user.
12. The system according to any one of claims 7 to 11, wherein the processing module is further configured to push the offer information to the mobile terminal used by the user according to a push message manner, time period and/or frequency preset by the user.
13. A server, characterized in that it comprises a system according to any of claims 7-12.
CN202010359734.4A 2020-04-29 2020-04-29 Method, system and server for pushing information Pending CN111552894A (en)

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Cited By (1)

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Publication number Priority date Publication date Assignee Title
CN114615326A (en) * 2022-03-21 2022-06-10 宁波小遛共享信息科技有限公司 Information pushing method and device

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