CN107046571B - Business hall service intelligent distribution method and system - Google Patents
Business hall service intelligent distribution method and system Download PDFInfo
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- CN107046571B CN107046571B CN201710192178.4A CN201710192178A CN107046571B CN 107046571 B CN107046571 B CN 107046571B CN 201710192178 A CN201710192178 A CN 201710192178A CN 107046571 B CN107046571 B CN 107046571B
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- 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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/14—Charging, metering or billing arrangements for data wireline or wireless communications
- H04L12/1403—Architecture for metering, charging or billing
- H04L12/1407—Policy-and-charging control [PCC] architecture
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- 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
- H04L67/52—Network services specially adapted for the location of the user terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/025—Services making use of location information using location based information parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/12—Messaging; Mailboxes; Announcements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/24—Accounting or billing
Abstract
The invention provides a business hall service intelligent distribution method and a business hall service intelligent distribution system, which can automatically acquire user information, formulate a proper recommended service according to the user information, and adopt different formulation rules for different users; for old users, the consumption model of the users can be automatically generated by combining the consumption records of the users and the consumption levels of the areas where the users are located, and the proper service packages are pushed to the users according to the generated consumption model; for a new user, a suitable service package can be recommended to the new user according to the consumption level of the region where the business hall is located; the method and the system realize full-automatic guidance of business hall services, reduce the labor cost of the business hall, and fully consider the economic bearing capacity of the user while ensuring business promotion, so that the user can more easily accept the pushed service contents.
Description
Technical Field
The invention relates to the technical field of internet data processing, in particular to a business hall service intelligent distribution method and system.
Background
With the pace of telecommunication operators speeding up from network operation to comprehensive information operation, the proportion of wireless data services mainly based on quality content and applications in the operation services of the telecommunication operators is on a rapid rise. The data service has the characteristics of rich and diversified types, and under the environment, a user can not find a product or an application required by the user through an active searching or searching mode.
When a user transacts business in a business hall in the conventional business process, a guide person generally conducts business guide, actively inquires the requirements of the user and recommends related business to the user according to the inquiry result, so that the labor cost of the business hall is increased, and when more users are available, queuing jam imagination is caused, and the user experience is reduced; secondly, the recommendation of the service mainly depends on the judgment of the supervisor of the guide personnel, and the recommended service cannot meet the actual requirement and economic capability of the user well.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a business hall service intelligent distribution method and a business hall service intelligent distribution system.
The invention adopts the following technical scheme for realizing the purpose:
in a first aspect, the present invention provides a business hall service intelligent allocation method, including:
acquiring a user tag of a current user, wherein the user tag comprises a first tag;
when the user tag is a first tag, recording that the current user is a first user;
acquiring a first consumption record of the first user, and generating a first consumption model according to the acquired first consumption record;
acquiring a preset regional consumption feature table, wherein the preset regional consumption feature table comprises at least one regional information and a second consumption model matched with the regional information;
acquiring the position information of the first user, and acquiring area information matched with the position information from the preset area consumption feature table according to the acquired position information;
acquiring a second consumption model matched with the regional information from the preset regional consumption feature table according to the regional information;
generating a third consumption model according to the first consumption model and the second consumption model;
and acquiring the service information matched with the third consumption model, and pushing the acquired service information to the first user.
In an embodiment of the present invention, the generating a third consumption model according to the first consumption model and the second consumption model includes:
when the first preset parameters of the first consumption model are consistent with the second preset parameters of the second consumption model;
and recording the first consumption model or the second consumption model as a third consumption model.
In an embodiment of the present invention, the generating a third consumption model according to the first consumption model and the second consumption model includes:
when the first preset parameter of the first consumption model is larger than the second preset parameter of the second consumption model;
and recording the first consumption model as a third consumption model.
In an embodiment of the present invention, the generating a third consumption model according to the first consumption model and the second consumption model includes:
when the second preset parameter of the second consumption model is larger than the first preset parameter of the first consumption model;
and recording the second consumption model as a third consumption model.
In an embodiment of the present invention, the obtaining a first consumption record of the first user, and generating a first consumption model according to the obtained first consumption record specifically includes:
acquiring a first service type;
acquiring a first consumption record of the first user according to the first service type;
acquiring a matched preset first consumption characteristic table according to the first service type, wherein the preset first consumption characteristic table comprises at least one service package information and a first consumption model matched with the service package information;
acquiring service package information matched with the first consumption record from the preset first consumption feature table according to the first consumption record;
and acquiring a first consumption model matched with the service package information from the preset first consumption feature table according to the service package information.
In an embodiment of the present invention, the acquiring the location information of the first user specifically includes:
acquiring a positioning signal of a user in a preset time period;
and generating position information according to the positioning signal.
In an embodiment of the present invention, generating a third consumption model according to the first consumption model and the second consumption model specifically includes:
acquiring a second service type;
acquiring a second consumption record of the first user according to the second service type;
acquiring a matched preset second consumption characteristic table according to the second service type, wherein the preset second consumption characteristic table comprises at least one service package information and a fourth consumption model matched with the service information;
acquiring service package information matched with the second consumption record from the preset second consumption feature table according to the second consumption record;
acquiring a fourth consumption model matched with the service package information from the preset second consumption feature table according to the service package information;
and generating a third consumption model according to the first consumption model, the second consumption model and the fourth consumption model.
In an embodiment of the present invention, the first consumption model includes a first preset parameter, the second consumption model includes a second preset parameter, the fourth consumption model includes a third preset parameter, and the generating of the third consumption model according to the first consumption model, the second consumption model, and the fourth consumption model specifically includes:
when a second preset parameter of the second consumption model is matched with a third preset parameter of the fourth consumption model, and the second preset parameter and the third preset parameter are not less than a first preset parameter of the first consumption model;
and recording the second consumption model or the fourth consumption model as a third consumption model.
Further, in an embodiment of the present invention, the fourth consumption model includes a third preset parameter, and the generating a third consumption model according to the first consumption model, the second consumption model and the fourth consumption model further includes:
when a second preset parameter of the second consumption model is matched with a third preset parameter of the fourth consumption model, and the second preset parameter and the third preset parameter are smaller than a first preset parameter of the first consumption model;
and recording the first consumption model as a third consumption model.
Further, in an embodiment of the present invention, the fourth consumption model includes a third preset parameter, and the generating a third consumption model according to the first consumption model, the second consumption model and the fourth consumption model further includes:
when the second preset parameter of the second consumption model is not matched with the third preset parameter of the fourth consumption model;
and acquiring the maximum value of the first preset parameter, the second preset parameter and the third preset parameter, acquiring a consumption model matched with the maximum preset parameter, and recording the consumption model as a third consumption model.
In an embodiment of the present invention, the acquiring the service information matched with the third consumption model specifically includes:
acquiring a first service type;
acquiring a matched preset service push information table according to the first service type, wherein the service push information table comprises at least one third consumption model and service information matched with the third consumption model;
and acquiring the service information matched with the third consumption model from the preset service push information table according to the third consumption model.
In an embodiment of the present invention, the user tag further includes a second tag;
the business hall service intelligent distribution method further comprises the following steps:
when the user tag is a second tag, recording that the current user is a second user;
acquiring the position information of the second user, and generating a fifth consumption model according to the acquired position information;
acquiring service information matched with the fifth consumption model;
and pushing the acquired service information to the second user.
In a second aspect, the invention further provides an intelligent business distribution system for a business hall, which comprises a first user acquisition module, a first consumption model generation module, a second consumption model generation module, a third consumption model generation module, a business information acquisition module and a pushing module;
the first user obtaining module is used for obtaining a user tag of a current user, and when the user tag is a first tag, the first user obtaining module is further used for recording that the current user is a first user;
the first consumption model generation module is used for acquiring a first consumption record of the first user and generating a first consumption model according to the acquired first consumption record;
the second consumption model generation module is used for acquiring a preset regional consumption feature table, wherein the preset regional consumption feature table comprises at least one piece of regional information and a second consumption model matched with the regional information;
the second consumption model generation module is further used for acquiring the position information of the first user and acquiring area information matched with the position information from the preset area consumption feature table according to the acquired position information;
the second consumption model generation module is further used for acquiring a second consumption model matched with the regional information from the preset regional consumption feature table according to the regional information, and recording the second consumption model as a second consumption model;
the third consumption model generation module is used for generating a third consumption model according to the first consumption model and the second consumption model;
the service information acquisition module is used for acquiring service information matched with the third consumption model;
the pushing module is used for pushing the acquired service information to the user.
Further, in an embodiment of the present invention, the business hall service intelligent distribution system further includes a second user obtaining module and a fifth consumption model obtaining module; the user tag further comprises a second tag;
the second user obtaining module is configured to obtain a user tag of a current user, and when the user tag is a second tag, the second user obtaining module is further configured to note that the current user is a second user;
the fifth consumption model acquisition module is used for acquiring the position information of the second user and generating a fifth consumption model according to the acquired position information;
the service information acquisition module is further used for acquiring the service information matched with the fifth consumption model.
The invention has the beneficial effects that:
the invention provides a business hall service intelligent distribution method and a business hall service intelligent distribution system, which can automatically acquire user information, formulate a proper recommended service according to the user information, and adopt different formulation rules for different users; for old users, the consumption model of the users can be automatically generated by combining the consumption records of the users and the consumption levels of the areas where the users are located, and the proper service packages are pushed to the users according to the generated consumption model; for a new user, a suitable service package can be recommended to the new user according to the consumption level of the region where the business hall is located; the method and the system realize full-automatic guidance of business hall services, reduce the labor cost of the business hall, and fully consider the economic bearing capacity of the user while ensuring business promotion, so that the user can more easily accept the pushed service contents.
Drawings
Fig. 1 is a schematic flow chart of an intelligent business allocation method for a business hall in an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a first consumption model generation method according to an embodiment of the present invention;
FIG. 3 is a flow chart illustrating a third method for generating a consumption model according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an intelligent business allocation system for a business hall in an embodiment of the present invention.
Detailed Description
The present invention will be further described with reference to the accompanying drawings and specific embodiments, wherein the exemplary embodiments and descriptions are only used for explaining the present invention, but not for limiting the present invention.
In a first aspect, as shown in fig. 1, the present invention provides a business hall service intelligent allocation method, including:
s100: acquiring a user tag of a current user, wherein the user tag comprises a first tag;
s200: when the user tag is a first tag, recording that the current user is a first user;
specifically, the first tag is a mobile phone number of the user;
specifically, when a user goes to a business hall to handle business, the user inputs the own mobile phone number to obtain a business handling number, and at the moment, after the background server obtains the mobile phone number of the user, the user is judged to be an old user and is recorded as a first user.
S300: acquiring a first consumption record of the first user, and generating a first consumption model according to the acquired first consumption record;
specifically, the first consumption record is a consumption record of a user for a service type to be pushed;
for example, when a merchant wants to push a broadband service, a current broadband service consumption record of a user is obtained, wherein the consumption record includes information such as an uplink bandwidth speed, a downlink bandwidth speed, broadband cost and the like.
Specifically, in an embodiment of the present invention, the first consumption model is a first consumption model generated according to a user consumption record.
Specifically, the first consumption model is an economic capability model of a user preset by a merchant according to a service type, such as a low-grade consumption user, a medium-grade consumption user, a high-grade consumption user and the like.
S400: acquiring a preset regional consumption feature table, wherein the preset regional consumption feature table comprises at least one regional information and a second consumption model matched with the regional information;
specifically, the second consumption model is an area economic capability model set by the merchant according to the area information, such as a low-grade consumption area, a medium-grade consumption area, a high-grade consumption area, and the like.
Specifically, the area information includes province, city, district, cell, street, and the like.
S500: acquiring the position information of the first user, and acquiring area information matched with the position information from the preset area consumption feature table according to the acquired position information;
wherein the geographical location information of the first user comprises an IP address, a GPS signal, or GSM positioning information.
It can be understood that, after obtaining the geographical location information of the user, the background server may perform area division on the geographical location information of the user according to different preset accuracies, for example, may locate a province, a city, a district, a street or a cell where the user is located according to the IP address of the user; if the background server judges that the user is located in a certain cell through the IP address of the user, the background server judges that the geographical position information of the user is the cell.
Specifically, in an embodiment of the present invention, the acquiring the location information of the first user specifically includes:
acquiring a positioning signal of a first user in a preset time period;
and generating position information according to the positioning signal.
Specifically, the positioning signal includes a GPS signal or GSM positioning information.
Specifically, for acquiring the location information of the user through the mobile device, the location information of the user acquired at different time periods may have a large difference, and a merchant may acquire the location signal of the user in a specific time period according to the service requirement;
for example, for a home broadband, the background server may obtain a positioning signal of the user after 10 pm, and generate cell or street information where the user is located according to the obtained positioning signal; for the business broadband, the background server can acquire the positioning signals of the user from 10 am to 5 pm, and generate the office location information of the user according to the acquired positioning signals.
S600: acquiring a second consumption model matched with the regional information from the preset regional consumption feature table according to the regional information;
specifically, after obtaining the position information of the user, the background server obtains area information matched with the position information from a preset area consumption feature table, and obtains a second consumption model matched with the area information and marks the second consumption model as a second consumption model;
if the background server acquires that the GPS positioning signal of the user at 10 o' clock at night is a certain street in the cell A, the background server generates the position information of the user as the cell A; the background server searches the area information containing the cell A from the preset area consumption characteristic table, and acquires a second consumption model of the area information, such as a middle-grade consumption area, namely the second consumption model of the user is the middle-grade consumption area.
S700: generating a third consumption model according to the first consumption model and the second consumption model;
in an embodiment of the present invention, the first consumption model includes a first preset parameter, and the second consumption model includes a second preset parameter.
Specifically, the first preset parameter is a consumption amount corresponding to the first consumption model, and the second preset parameter is a consumption amount corresponding to the second consumption model.
Specifically, a final economic capacity model of the user, namely a third consumption model, is generated according to the first consumption model and the second consumption model;
if the first consumption model of the user is a low-grade consumption user and the second consumption model is a medium-grade consumption area, the background server can judge that the user has the economic capability of the medium-grade consumption user according to the average consumption amount of the area where the user is located although the consumption amount of the current user is lower, so that the third consumption model of the user is generated to be the medium-grade consumption user;
if the first consumption model of the user is a medium-grade consumption user and the second consumption model is a low-grade consumption area, the background server can judge that the current consumption amount of the user exceeds the average consumption amount of the area where the user is located, but in order not to reduce the income of a merchant, the third consumption model of the user is generated to be the medium-grade consumption user by referring to the first consumption model of the user.
S800: and acquiring the service information matched with the third consumption model, and pushing the acquired service information to the first user.
Specifically, in an embodiment of the present invention, step S800 includes:
acquiring a first service type;
acquiring a matched preset service push information table according to the first service type, wherein the service push information table comprises at least one third consumption model and service information matched with the third consumption model;
and according to the third consumption model, acquiring the service information matched with the third consumption model from the preset service push information table, and pushing the acquired service information to the first user.
The first service type is a service type to be pushed, which is preset by a merchant;
specifically, following the above example, the third consumption model of the first user is a medium-grade consumption user, the first service type acquired by the background server is a broadband service, and the background server calls a preset service push information table matched with the broadband service, acquires service information corresponding to the medium-grade consumption user in the table, and sends the service information to the first user.
As shown in fig. 2, in an embodiment of the present invention, step S300 specifically includes:
s310: acquiring a first service type;
specifically, the first service type is a service type to be pushed; and if the merchant prepares to push the broadband service to the user, the first service type is the broadband service.
S320: acquiring a first consumption record of the first user according to the first service type;
specifically, the first consumption record is a consumption record of the first user for a service type to be pushed;
for example, when a merchant wants to push a broadband service, a current broadband service consumption record of a user is obtained, wherein the consumption record includes information such as an uplink bandwidth speed, a downlink bandwidth speed, broadband cost and the like.
S330: acquiring a matched preset first consumption characteristic table according to the first service type, wherein the preset first consumption characteristic table comprises at least one service package information and a first consumption model matched with the service package information;
specifically, a merchant may preset a plurality of first consumption feature tables in a background server, where each first consumption feature table corresponds to one service type, and each first consumption feature table includes at least one service package information and a first consumption model matched with the service package information;
the first consumption model is an economic capability model of a user preset by a merchant according to the service type, such as a low-grade consumption user, a medium-grade consumption user, a high-grade consumption user and the like;
for example, for broadband services, if it is preset that 0-199 yuan of broadband monthly rentals of users are low-grade consuming users, 200-499 yuan of broadband monthly rentals are medium-grade consuming users, and more than 500 broadband monthly rentals are high-grade consuming users, the following table can be generated
| Service package information | 0 to 199 yuan | 200 ~ 499 yuan | Over 500A |
| First consumption model | Low-end consumer | Middle consumption user | High-grade consumer |
S340: acquiring service package information matched with the first consumption record from the preset first consumption feature table according to the first consumption record;
s350: and acquiring a first consumption model matched with the service package information from the preset first consumption feature table according to the service package information.
Specifically, along the above example, the background server obtains the consumption record of the broadband service of the user, and the currently used broadband service of the user is a 20M broadband of 158M tenants per month;
then, the first consumption model of the user can be obtained as the low-grade consumption user according to the preset first consumption feature table, that is, the first consumption model of the user is the low-grade consumption user.
Further, in an embodiment of the present invention, in addition to determining the economic bearing capacity of the user by referring to the consumption record of the service to be pushed of the user and the consumption level of the located area, the economic bearing capacity of the user may be further determined by combining consumption records of other types of services of the user, specifically, as shown in fig. 3, step S700 specifically includes:
s710: acquiring a second service type;
specifically, the second service type is a service type not to be pushed; if the business to be pushed selected by the merchant is broadband business, the second business type comprises other businesses provided by the merchant, such as fixed telephone business, mobile communication business, digital television business and the like.
S720: acquiring a second consumption record of the first user according to the second service type;
s730: acquiring a matched preset second consumption characteristic table according to the second service type, wherein the preset second consumption characteristic table comprises at least one service package information and a fourth consumption model matched with the service information;
the fourth consumption model is an economic capability model of a user preset by a merchant according to the service type, such as a low-grade consumption user, a medium-grade consumption user, a high-grade consumption user and the like.
S740: acquiring service package information matched with the second consumption record from the preset second consumption feature table according to the second consumption record;
s750: acquiring a fourth consumption model matched with the service package information from the preset second consumption feature table according to the service package information;
in an embodiment of the invention, the fourth consumption model includes a third preset parameter.
Specifically, the third preset parameter is a consumption amount corresponding to the fourth consumption model.
S760: and generating a third consumption model according to the first consumption model, the second consumption model and the fourth consumption model.
Specifically, after acquiring a first consumption model and a second consumption model of a user, the background server also acquires a second service type, acquires a second consumption record of the user according to the second service type, and generates a fourth consumption model according to the second consumption record of the user and a preset second consumption feature table;
if the first service type is broadband service, the first consumption model of the user is a low-grade consumption user, and the second consumption model is a medium-grade consumption area; if the second service type preset by the merchant is the mobile communication service, the background server acquires consumption records of the user about the mobile communication service, if the package used by the user is a 88-yuan 4G communication package of monthly tenants, and acquires a fourth consumption model of the user according to a preset second consumption feature table, if the consumption model corresponding to the 58-88-yuan service package information in the second consumption feature table is a middle-level consumption user, namely the fourth consumption model of the user is a middle-level consumption user; the background server judges the actual economic bearing capacity of the user according to the first consumption model, the second consumption model and the fourth consumption model of the user; if the broadband service consumption of the user is low, the cell where the user resides is a medium-grade consumption area, and the mobile communication service used by the user is also a service used by a medium-grade consumption user, that is, the actual economic bearing capacity of the user is a medium-grade consumption user, so that the third consumption model of the user generated by the background server is a medium-grade consumption user.
In an embodiment of the present invention, the user tag further includes a second tag; the business hall service intelligent distribution method further comprises the following steps:
when the user tag is a second tag, recording that the current user is a second user;
acquiring the position information of the second user, and generating a fifth consumption model according to the acquired position information;
acquiring service information matched with the fifth consumption model;
and pushing the acquired service information to the second user.
Specifically, the second tag is a new user tag;
specifically, when the user goes to a business hall to handle the business, a new user button is selected on the number reservation and arrangement equipment to obtain the business handling number, and at the moment, the background server judges that the user is a new user and marks the user as a second user.
Specifically, the location information of the second user is the location information of the current business hall, the background server obtains the area information matched with the location information of the current business hall from a preset area consumption feature table, and obtains a second consumption model matched with the area information and records the second consumption model as a fifth consumption model.
In a second aspect, the present invention further provides a service pushing system based on the service pushing method provided in the first aspect of the present invention, as shown in fig. 4, a service intelligent distribution system for a service hall includes a first user obtaining module 100, a first consumption model generating module 200, a second consumption model generating module 300, a third consumption model generating module 400, a service information obtaining module 500, and a pushing module 600;
the first user obtaining module 100 is configured to obtain a user tag of a current user, and when the user tag is a first tag, the first user obtaining module 100 is further configured to note that the current user is a first user;
the first consumption model generating module 200 is configured to obtain a first consumption record of the first user, and generate a first consumption model according to the obtained first consumption record;
the second consumption model generating module 300 is configured to obtain a preset regional consumption feature table, where the preset regional consumption feature table includes at least one piece of regional information and a second consumption model matched with the regional information;
the second consumption model generating module 300 is further configured to obtain location information of the first user, and obtain area information matched with the location information from the preset area consumption feature table according to the obtained location information;
the second consumption model generation module 300 is further configured to obtain, according to the regional information, a second consumption model matched with the regional information from the preset regional consumption feature table, and record the second consumption model as a second consumption model;
the third consumption model generation module 400 is configured to generate a third consumption model according to the first consumption model and the second consumption model;
the service information obtaining module 500 is configured to obtain service information matched with the third consumption model;
the pushing module 600 is configured to push the obtained service information to the user.
Further, in an embodiment of the present invention, the business hall service intelligent distribution system further includes a second user obtaining module and a fifth consumption model obtaining module;
the second user obtaining module is configured to obtain a user tag of a current user, and when the user tag is a second tag, the second user obtaining module is further configured to note that the current user is a second user;
the fifth consumption model acquisition module is used for acquiring the position information of the second user and generating a fifth consumption model according to the acquired position information;
the service information obtaining module 500 is further configured to obtain service information matched with the fifth consumption model.
It should be understood that the above examples are only for clearly showing the technical solutions of the present invention, and are not intended to limit the embodiments of the present invention. It will be apparent to those skilled in the art from this disclosure that various changes and modifications can be made herein without departing from the spirit and scope of the invention. Therefore, the protection scope of the present patent should be subject to the appended claims.
Claims (8)
1. An intelligent business allocation method for business halls is characterized by comprising the following steps:
acquiring a user tag of a current user, wherein the user tag comprises a first tag;
when the user tag is a first tag, recording that the current user is a first user;
acquiring a first consumption record of the first user, and generating a first consumption model according to the acquired first consumption record;
acquiring a preset regional consumption feature table, wherein the preset regional consumption feature table comprises at least one regional information and a second consumption model matched with the regional information;
acquiring the position information of the first user, and acquiring area information matched with the position information from the preset area consumption feature table according to the acquired position information;
acquiring a second consumption model matched with the regional information from the preset regional consumption feature table according to the regional information;
generating a third consumption model according to the first consumption model and the second consumption model;
acquiring service information matched with the third consumption model, and pushing the acquired service information to the first user;
the acquiring the location information of the first user specifically includes:
acquiring a positioning signal of a user in a preset time period;
generating position information according to the positioning signal;
generating a third consumption model according to the first consumption model and the second consumption model specifically comprises:
acquiring a second service type;
acquiring a second consumption record of the first user according to the second service type;
acquiring a matched preset second consumption characteristic table according to the second service type, wherein the preset second consumption characteristic table comprises at least one service package information and a fourth consumption model matched with the service information;
acquiring service package information matched with the second consumption record from the preset second consumption feature table according to the second consumption record;
acquiring a fourth consumption model matched with the service package information from the preset second consumption feature table according to the service package information;
and generating a third consumption model according to the first consumption model, the second consumption model and the fourth consumption model.
2. The method according to claim 1, wherein the first consumption model includes a first preset parameter, the second consumption model includes a second preset parameter, and the generating a third consumption model according to the first consumption model and the second consumption model specifically includes:
when the first preset parameters of the first consumption model are consistent with the second preset parameters of the second consumption model;
and recording the first consumption model or the second consumption model as a third consumption model.
3. The method according to claim 1, wherein the first consumption model includes a first preset parameter, the second consumption model includes a second preset parameter, and the generating a third consumption model according to the first consumption model and the second consumption model specifically includes:
when the first preset parameter of the first consumption model is larger than the second preset parameter of the second consumption model;
and recording the first consumption model as a third consumption model.
4. The method according to claim 1, wherein the first consumption model includes a first preset parameter, the second consumption model includes a second preset parameter, and the generating a third consumption model according to the first consumption model and the second consumption model specifically includes:
when the second preset parameter of the second consumption model is larger than the first preset parameter of the first consumption model;
and recording the second consumption model as a third consumption model.
5. The method for intelligently allocating business hall services according to claim 1, wherein the obtaining a first consumption record of the first user and generating a first consumption model according to the obtained first consumption record specifically comprises:
acquiring a first service type;
acquiring a first consumption record of the first user according to the first service type;
acquiring a matched preset first consumption characteristic table according to the first service type, wherein the preset first consumption characteristic table comprises at least one service package information and a first consumption model matched with the service package information;
acquiring service package information matched with the first consumption record from the preset first consumption feature table according to the first consumption record;
and acquiring a first consumption model matched with the service package information from the preset first consumption feature table according to the service package information.
6. The intelligent business allocation method for business halls according to claim 1, wherein the obtaining of the business information matched with the third consumption model specifically comprises:
acquiring a first service type;
acquiring a matched preset service push information table according to the first service type, wherein the service push information table comprises at least one third consumption model and service information matched with the third consumption model;
and acquiring the service information matched with the third consumption model from the preset service push information table according to the third consumption model.
7. The intelligent business hall service assignment method of claim 1, wherein the user tag further comprises a second tag; the business hall service intelligent distribution method further comprises the following steps:
when the user tag is a second tag, recording that the current user is a second user;
acquiring the position information of the second user, and generating a fifth consumption model according to the acquired position information;
acquiring service information matched with the fifth consumption model;
and pushing the acquired service information to the second user.
8. An intelligent business distribution system for a business hall is characterized by comprising a first user acquisition module, a first consumption model generation module, a second consumption model generation module, a third consumption model generation module, a business information acquisition module and a pushing module;
the first user obtaining module is used for obtaining a user tag of a current user, and when the user tag is a first tag, the first user obtaining module is further used for recording that the current user is a first user;
the first consumption model generation module is used for acquiring a first consumption record of the first user and generating a first consumption model according to the acquired first consumption record;
the second consumption model generation module is used for acquiring a preset regional consumption feature table, wherein the preset regional consumption feature table comprises at least one piece of regional information and a second consumption model matched with the regional information;
the second consumption model generation module is further used for acquiring the position information of the first user and acquiring area information matched with the position information from the preset area consumption feature table according to the acquired position information;
the second consumption model generation module is further used for acquiring a second consumption model matched with the regional information from the preset regional consumption feature table according to the regional information;
the third consumption model generation module is used for generating a third consumption model according to the first consumption model and the second consumption model;
the service information acquisition module is used for acquiring service information matched with the third consumption model;
the pushing module is used for pushing the acquired service information to the user.
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| CN108681924B (en) * | 2018-05-18 | 2021-04-20 | 中国联合网络通信集团有限公司 | Method and device for determining business hall target service object |
| CN108769190B (en) * | 2018-05-28 | 2021-02-02 | 广州招点信息科技有限公司 | Activity invitation pushing method and system based on user consumption behaviors |
| CN109412832B (en) * | 2018-09-10 | 2022-04-15 | 中国联合网络通信集团有限公司 | User service providing method and system |
| CN109447320A (en) * | 2018-09-27 | 2019-03-08 | 中国联合网络通信集团有限公司 | The recognition methods of customer service, apparatus and system |
| CN109598576A (en) * | 2018-10-25 | 2019-04-09 | 阿里巴巴集团控股有限公司 | Service recommendation method, device and equipment |
| CN109712001A (en) * | 2018-11-29 | 2019-05-03 | 平安科技（深圳）有限公司 | Information recommendation method, device, computer equipment and storage medium |
| CN109934675A (en) * | 2019-02-27 | 2019-06-25 | 中国联合网络通信集团有限公司 | Package recommendation method, apparatus and system for new networking user |
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