CN116151891A - Message pushing method and device based on signaling data - Google Patents
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Abstract
The invention discloses a message pushing method and device based on signaling data, and relates to the technical field of computers. The method comprises the following steps: determining a plurality of interest points in the track of the user according to the signaling data of the user in the current area in the current time period; determining the stay time of the user at the consumer type interest point according to the signaling data; when the stay time length is greater than a preset time length threshold value, calculating the consumption score of the user according to the attribute information of the consumption type interest points; determining the residence of the user according to the signaling data; acquiring attribute information of a residence, and calculating residence scores of users according to the attribute information of the residence; calculating the consumption grade of the user according to the consumption score of the user and the residence score of the user; calculating the average consumption level of the users in the current area according to the consumption level of each user in the current area; and pushing the message to the users in the current area according to the average consumption level of the users in the current area. This embodiment reduces the efficiency with which message pushing can be improved.
Description
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method and an apparatus for pushing a message based on signaling data.
Background
In an actual application scenario, in order to improve the consumption capability of users in an area and meet the consumption requirements of the users, a questionnaire is generally issued to the users in the area, an average consumption level of the users in the area is determined based on the questionnaire information, and information is pushed to the users in the area based on the average consumption level of the users.
However, this method is inefficient. Moreover, the number of users covered by the questionnaire is small, the average consumption level of the obtained users is inaccurate, and the message pushing cannot be matched with the actual demands of the users.
Disclosure of Invention
In view of this, the embodiments of the present invention provide a method and an apparatus for pushing a message based on signaling data, which can improve the efficiency of pushing a message and make the pushed message more match with the actual needs of a user.
In a first aspect, an embodiment of the present invention provides a message pushing method based on signaling data, including:
determining a plurality of interest points in the track of a user according to signaling data of the user in a current area in a current time period;
when a consumer interest point exists in the plurality of interest points, determining the stay time of the user at the consumer interest point according to the signaling data;
when the stay time length is greater than a preset time length threshold, acquiring attribute information of the consumer interest point, and calculating the consumption score of the user according to the attribute information of the consumer interest point;
determining the residence of the user according to the signaling data;
acquiring attribute information of the residence, and calculating residence scores of the users according to the attribute information of the residence;
calculating the consumption grade of the user according to the consumption score of the user and the residence score of the user;
calculating the average consumption level of the users in the current area according to the consumption level of each user in the current area;
and pushing messages to the users in the current area according to the average consumption level of the users in the current area.
In a second aspect, an embodiment of the present invention provides a message pushing device based on signaling data, including:
the determining module is configured to determine a plurality of interest points in the track of the user according to the signaling data of the user in the current area in the current time period; when a consumer interest point exists in the plurality of interest points, determining the stay time of the user at the consumer interest point according to the signaling data;
the calculating module is configured to acquire the attribute information of the consumer interest point when the stay time is longer than a preset time threshold, and calculate the consumption score of the user according to the attribute information of the consumer interest point; determining the residence of the user according to the signaling data; acquiring attribute information of the residence, and calculating residence scores of the users according to the attribute information of the residence; calculating the consumption grade of the user according to the consumption score of the user and the residence score of the user; calculating the average consumption level of the users in the current area according to the consumption level of each user in the current area;
and the pushing module is configured to push messages to the users in the current area according to the average consumption level of the users in the current area.
In a third aspect, an embodiment of the present invention provides an electronic device, including:
one or more processors;
storage means for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as described in any of the embodiments above.
In a fourth aspect, embodiments of the present invention provide a computer readable medium having stored thereon a computer program which, when executed by a processor, implements a method as in any of the embodiments described above.
One embodiment of the above invention has the following advantages or benefits: based on the signaling data, the consumer interest points visited by the user and the residence places can be accurately determined, and the attribute information of the consumer interest points and the attribute information of the residence places can accurately reflect the consumption capability of the user, so that the consumption grade obtained by calculation is more accurate. Meanwhile, the number of the signaling data coverage users is large, the accuracy of the average consumption level can be improved, and the pushed message can be more fit with the actual demands of the users.
Further effects of the above-described non-conventional alternatives are described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:
fig. 1 is a flowchart of a message pushing method based on signaling data according to an embodiment of the present invention;
fig. 2 is a flowchart of a message pushing method based on signaling data according to another embodiment of the present invention;
fig. 3 is a schematic diagram of a message pushing device based on signaling data according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a computer system suitable for use in implementing an embodiment of the invention.
Detailed Description
Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, in which various details of the embodiments of the present invention are included to facilitate understanding, and are to be considered merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
As shown in fig. 1, an embodiment of the present invention provides a message pushing method based on signaling data, including:
step 101: and determining a plurality of interest points in the track of the user according to the signaling data of the user in the current area in the current time period.
The signaling data may include a base station identifier, a mobile phone number, a timestamp, etc., and a plurality of POIs (Point of Interest, points of interest) that the user passes in the current time period may be determined according to the signaling data. The current time period may be a specified time period, or may be a time period that is a certain length of time from the current time.
Step 102: and when the consumer interest points exist in the plurality of interest points, determining the stay time of the user at the consumer interest points according to the signaling data.
Consumer points of interest, i.e., consumer venues, such as supermarkets, restaurants, hotels, and the like. Specifically, the residence time of the user at the consumer point of interest may be determined from the timestamp in the signaling data.
Step 103: and when the stay time length is greater than a preset time length threshold, acquiring attribute information of the consumer interest point, and calculating the consumption score of the user according to the attribute information of the consumer interest point.
The dwell time exceeding the time duration threshold indicates that the user is interested in the consumer point of interest, may have the ability to consume at the consumer point of interest, or may have generated consumption at the consumer point of interest. The attribute information of the consumer point of interest may be a human average consumption amount or an average single consumption amount, etc.
Step 104: and determining the residence of the user according to the signaling data.
Specifically, the residence of the user is determined based on the time stamp in the signaling data. For example, the residence time is 8 pm to 8 am the next day and stays continuously for more than 30 days, then the floor is the residence of the user.
Step 105: and acquiring the attribute information of the residence, and calculating the residence score of the user according to the attribute information of the residence.
The attribute information of the residence may be an average rental price, an average purchase price, or the like.
The higher the average rental or purchase price of the residence of the user, the higher the consumer ability of the user may be, and thus, the embodiment of the present invention calculates the residence score of the user based on the attribute information of the residence.
Step 106: and calculating the consumption grade of the user according to the consumption score of the user and the residence score of the user.
Step 107: and calculating the average consumption level of the users in the current area according to the consumption level of each user in the current area.
The average consumer level may be an average value of consumer levels of the respective users, and a median of the consumer levels of the respective users may be used as the average consumer level of the users.
Step 108: and pushing the message to the users in the current area according to the average consumption level of the users in the current area.
The current area may be determined according to actual needs, for example, the current area is a cell, by which promotional information of items may be pushed to residents of the cell, and the current area may also be a delimited area, by which advertisements may be pushed to users in the area.
In the actual application scene, commodity promotion information and the like can be pushed to the user according to the matching degree of the average consumption level of the user and the commodity price, for example, the higher the average consumption level of the user is, the stronger the average consumption capability of the user in the area is.
The embodiment of the invention can accurately determine the consumption type interest points and residence places visited by the user based on the signaling data, and the attribute information of the consumption type interest points and the attribute information of the residence places can accurately reflect the consumption capability of the user, so that the calculated consumption grade is more accurate. Meanwhile, the number of the signaling data coverage users is large, the accuracy of the average consumption level can be improved, and the pushed message can be more fit with the actual demands of the users.
In one embodiment of the invention, the attribute information of the consumer point of interest includes: the specific gravity of the sum of the average consumption amount and the average consumption expenditure of the consumption category to which the average consumption expenditure accounts;
calculating the consumption score of the user according to the attribute information of the consumption type interest points, wherein the method comprises the following steps:
and calculating the consumption score of the user according to the average consumption amount and the proportion of the average consumption expenditure of the belonging consumption category to the sum of the average consumption expenditure of each consumption category.
The user's consumption score is used to reflect the user's consumption capabilities from the dimension of the consumer point of interest.
The proportion of the average consumer expenditure of the consumer class to the sum of the average consumer expenditure of the consumer classes can be obtained from the resident income and consumer expenditure issued by the government departments.
The average consumption amount can reflect the consumption level of the consumption type interest point, and the influence degree of different consumption types on the consumption level can be distinguished through the proportion of the average consumption expenditure of the consumption types to the sum of the average consumption expenditure of the consumption types. The embodiment of the invention can accurately calculate the consumption score of the user based on the attribute information of the consumption interest points, so that the consumption score of the user can more accurately reflect the consumption capability of the user.
In one embodiment of the invention, the number of consumer points of interest is a plurality;
calculating a consumption score of the user according to the average consumption amount and the proportion of the average consumption expenditure of the belonging consumption category to the sum of the average consumption expenditure of the consumption categories, wherein the consumption score comprises the following components:
calculating the score of each consumption type interest point according to the average consumption amount and the proportion of the average consumption expenditure of the belonging consumption type to the sum of the average consumption expenditure of each consumption type;
and calculating the sum of the scores of the various consumer interest points to obtain the consumption score of the user.
When the user passes through the plurality of consumer interest points and the stay time of each consumer interest point exceeds the duration threshold, the consumption score of the user is the sum of the scores of each consumer interest point.
According to the embodiment of the invention, a plurality of consumer interest points where the user stays can be considered, and the accuracy of the obtained consumption score of the user is improved. In the practical application scenario, the score of each consumer interest point may also be calculated based on the number of stay times, the average consumption amount, and the specific gravity of the average consumption expenditure of the consumer category to which the stay times, the average consumption expenditure of the consumer category belong, which is the sum of the average consumption expenditure of the consumer categories.
In one embodiment of the present invention, attribute information of a residential site includes: average house renting price or average house purchasing price, and proportion of average people living consumption expenditure to sum of average people consumption expenditure of each consumption category;
calculating the residence score of the user according to the attribute information of the residence, comprising:
and calculating the residence score of the user according to the average renting price or average room purchasing price and the proportion of the average residence expense to the sum of the average residence expense of each consumption class.
If the user is an owner, calculating the residence score of the user according to the average house purchase price and the proportion of the average residence expense accounting for the sum of the average residence expense of each consumption class; if the user is a tenant, calculating the residence score of the user according to the average tenant price and the proportion of the average residence expense accounting for the sum of the average residence expense of each consumer class.
The proportion of the average consumer expenditure to the sum of the average consumer expenditure of each consumer category can be obtained from the resident income and consumer expenditure issued by the government departments.
The occupancy score of a user is used to reflect the user's consumption capabilities from the dimensions of a house purchase or house lease.
The average rental price and average purchase price can reflect the consumer's ability to consume. According to the embodiment of the invention, the influence degree of the living condition on the consumption level is measured by the proportion of the average living consumption expenditure to the sum of the average living consumption expenditure of all the consumption categories. The residence score of the user can be accurately calculated based on the attribute information of the residence, so that the residence score of the user can more accurately reflect the consumption capability of the user.
In one embodiment of the present invention, calculating a consumer class of a user based on a consumer score of the user and a occupancy score of the user includes:
calculating a consumption index of the user according to the consumption score of the user and the residence score of the user;
and calculating the consumption grade of the user according to the consumption index of the user and the corresponding relation between the predetermined consumption index interval and the consumption grade.
The consumption index may be the sum of the consumption score and the occupancy score, and of course, the consumption index of the user may also be calculated according to the consumption score and the weight thereof, the occupancy score and the weight thereof. And determining the consumption grade of the user according to the consumption index interval of the consumption index of the user.
For example, the consumption index interval corresponding to the consumption level 3 is [1-100 ], the consumption index interval corresponding to the consumption level 2 is [100-200 ], the consumption index interval corresponding to the consumption level 1 is [200-300], and if the calculated consumption index is 105, the consumption level of the user is 2.
The corresponding relation between the consumption index interval and the consumption grade can be set by a business party based on experience, and can also be calculated through historical data.
According to the embodiment of the invention, the consumption grade can be accurately calculated through the consumption score and the residence score, so that the message which is more matched with the consumption capacity of the user is pushed to the user.
In one embodiment of the invention, the method further comprises:
calculating the consumption index of the user in the target area according to the signaling data of the user in the target area in the historical time period;
dividing consumption indexes of a plurality of users in a target area into parts corresponding to preset consumption levels;
and determining a consumption index interval corresponding to the consumption level according to the maximum value and the minimum value of the consumption index corresponding to the consumption level.
According to the embodiment of the invention, the consumption index of each user in the target area can be calculated according to the historical data, and the specific calculation process refers to the calculation of the consumption index of the user in the current area. The historical time period and the current time period may be the same time period in different periods, or may be two set time periods. The embodiment of the invention can obtain the accurate corresponding relation between the consumption index interval and the consumption grade, so that the obtained consumption grade is closer to the actual situation. In the practical application scene, in order to further improve the accuracy of the consumption level, the range of the target area is larger than that of the current area. For example, the current area is a certain cell, and the target area is the city of the place where the cell is located.
As shown in fig. 2, an embodiment of the present invention provides a message pushing method based on signaling data, including:
step 201: and calculating the consumption index of the user in the target area according to the signaling data of the user in the target area in the historical time period.
Step 202: and dividing the consumption indexes of the plurality of users in the target area into parts corresponding to the preset consumption level.
Step 203: and determining a consumption index interval corresponding to the consumption level according to the maximum value and the minimum value of the consumption index corresponding to the consumption level.
Step 204: and determining a plurality of interest points in the track of the user according to the signaling data of the user in the current area in the current time period.
Step 205: and when the consumer interest points exist in the plurality of interest points, determining the stay time of the user at the consumer interest points according to the signaling data.
Step 206: when the stay time length is greater than a preset time length threshold, the specific gravity of the average consumption amount of the consumption type interest points and the sum of the average consumption expenditure of the consumption types to which the average consumption expenditure of the consumption types belongs is obtained, and the score of each consumption type interest point is calculated according to the average consumption amount and the specific gravity of the average consumption expenditure of the consumption types to which the average consumption expenditure of the consumption types to the sum of the average consumption expenditure of the consumption types to which the average consumption expenditure of the consumption types belongs.
Step 207: and calculating the sum of the scores of the various consumer interest points to obtain the consumption score of the user.
Step 208: and determining the residence of the user according to the signaling data.
Step 209: and acquiring the average house renting price or average house purchase price and the proportion of the average house living expense accounting for the sum of the average house purchase expense of each consumption class of the living place, and calculating the living score of the user according to the average house renting price or average house purchase price and the proportion of the average house living expense accounting for the sum of the average house living expense of each consumption class of the living place.
Step 210: and calculating the sum of the consumption score of the user and the residence score of the user to obtain the consumption index of the user.
Step 211: and calculating the consumption grade of the user according to the consumption index of the user and the corresponding relation between the consumption index interval and the consumption grade.
Step 212: and calculating the average consumption level of the users in the current area according to the consumption level of each user in the current area.
Step 213: and pushing the message to the users in the current area according to the average consumption level of the users in the current area.
The embodiment of the invention can calculate the average consumption level of the users in the current area more efficiently and accurately based on the attribute information of the consumption type interest points and the attribute information of the residence, further accurately measure the average consumption capacity of the users in the current area, and further enable the pushed information to be closer to the actual demands of the users.
As shown in fig. 3, an embodiment of the present invention provides a message pushing device based on signaling data, including:
a determining module 301, configured to determine a plurality of interest points in a track of a user according to signaling data of the user in a current area in a current time period; when the consumer interest points exist in the plurality of interest points, determining the stay time of the user in the consumer interest points according to the signaling data;
the calculating module 302 is configured to obtain attribute information of the consumer interest point when the stay time is longer than a preset time threshold, and calculate a consumption score of the user according to the attribute information of the consumer interest point; determining the residence of the user according to the signaling data; acquiring attribute information of a residence, and calculating residence scores of users according to the attribute information of the residence; calculating the consumption grade of the user according to the consumption score of the user and the residence score of the user; calculating the average consumption level of the users in the current area according to the consumption level of each user in the current area;
the pushing module 303 is configured to push a message to the user in the current area according to the average consumption level of the user in the current area.
In one embodiment of the invention, the attribute information of the consumer point of interest includes: the specific gravity of the sum of the average consumption amount and the average consumption expenditure of the consumption category to which the average consumption expenditure accounts;
the calculation module 302 is configured to calculate a consumption score of the user according to the average consumption amount and the proportion of the average consumption expenditure of the belonging consumption category to the sum of the average consumption expenditures of the consumption categories.
In one embodiment of the invention, the number of consumer points of interest is a plurality;
a calculation module 302 configured to calculate a score of each consumer interest point according to the amount of average consumption and the proportion of average consumption expenditure of the consumer class to the sum of average consumption expenditure of the consumer classes; and calculating the sum of the scores of the various consumer interest points to obtain the consumption score of the user.
In one embodiment of the present invention, attribute information of a residential site includes: average house renting price or average house purchasing price, and proportion of average people living consumption expenditure to sum of average people consumption expenditure of each consumption category; the calculating module 302 is configured to calculate the occupancy score of the user according to the average rental price or average purchase price and the proportion of the average occupancy expenditure to the sum of the average occupancy expenditures of the respective occupancy categories.
In one embodiment of the invention, the calculation module 302 is configured to calculate a consumption index of the user based on the consumption score of the user and the occupancy score of the user; and calculating the consumption grade of the user according to the consumption index of the user and the corresponding relation between the predetermined consumption index interval and the consumption grade.
In one embodiment of the present invention, the calculation module 302 is configured to calculate the consumption index of the user in the target area according to the signaling data of the user in the target area in the historical time period; dividing consumption indexes of a plurality of users in a target area into parts corresponding to preset consumption levels; and determining a consumption index interval corresponding to the consumption level according to the maximum value and the minimum value of the consumption index corresponding to the consumption level.
The embodiment of the invention provides electronic equipment, which comprises:
one or more processors;
storage means for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of the embodiments described above.
The present invention provides a computer readable medium having stored thereon a computer program which when executed by a processor implements a method as in any of the embodiments described above.
Referring now to FIG. 4, there is illustrated a schematic diagram of a computer system 400 suitable for use in implementing an embodiment of the present invention. The terminal device shown in fig. 4 is only an example, and should not impose any limitation on the functions and the scope of use of the embodiment of the present invention.
As shown in fig. 4, the computer system 400 includes a Central Processing Unit (CPU) 401, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage section 408 into a Random Access Memory (RAM) 403. In RAM 403, various programs and data required for the operation of system 400 are also stored. The CPU 401, ROM 402, and RAM 403 are connected to each other by a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
The following components are connected to the I/O interface 405: an input section 406 including a keyboard, a mouse, and the like; an output portion 407 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker, and the like; a storage section 408 including a hard disk or the like; and a communication section 409 including a network interface card such as a LAN card, a modem, or the like. The communication section 409 performs communication processing via a network such as the internet. The drive 410 is also connected to the I/O interface 405 as needed. A removable medium 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is installed on the drive 410 as needed, so that a computer program read therefrom is installed into the storage section 408 as needed.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 409 and/or installed from the removable medium 411. The above-described functions defined in the system of the present invention are performed when the computer program is executed by a Central Processing Unit (CPU) 401.
The computer readable medium shown in the present invention may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, the computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with the computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The modules involved in the embodiments of the present invention may be implemented in software or in hardware. The described modules may also be provided in a processor, for example, as: a processor includes a sending module, an obtaining module, a determining module, and a first processing module. The names of these modules do not in some cases limit the module itself, and for example, the transmitting module may also be described as "a module that transmits a picture acquisition request to a connected server".
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives can occur depending upon design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A message pushing method based on signaling data, comprising:
determining a plurality of interest points in the track of a user according to signaling data of the user in a current area in a current time period;
when a consumer interest point exists in the plurality of interest points, determining the stay time of the user at the consumer interest point according to the signaling data;
when the stay time length is greater than a preset time length threshold, acquiring attribute information of the consumer interest point, and calculating the consumption score of the user according to the attribute information of the consumer interest point;
determining the residence of the user according to the signaling data;
acquiring attribute information of the residence, and calculating residence scores of the users according to the attribute information of the residence;
calculating the consumption grade of the user according to the consumption score of the user and the residence score of the user;
calculating the average consumption level of the users in the current area according to the consumption level of each user in the current area;
and pushing messages to the users in the current area according to the average consumption level of the users in the current area.
2. The method of claim 1, wherein,
the attribute information of the consumer interest point comprises: the specific gravity of the sum of the average consumption amount and the average consumption expenditure of the consumption category to which the average consumption expenditure accounts;
calculating the consumption score of the user according to the attribute information of the consumption type interest points, wherein the method comprises the following steps:
and calculating the consumption score of the user according to the average consumption amount and the proportion of the average consumption expenditure of the consumption category to the sum of the average consumption expenditure of the consumption categories.
3. The method of claim 2, wherein,
the number of the consumer interest points is a plurality;
calculating the consumption score of the user according to the average consumption amount and the proportion of the average consumption expenditure of the consumption category to the sum of the average consumption expenditure of the consumption categories, wherein the consumption score comprises the following components:
calculating the score of each consumer interest point according to the average consumption amount and the proportion of the average consumption expenditure of the consumer class to the sum of the average consumption expenditure of the consumer classes;
and calculating the sum of the scores of the consumer interest points to obtain the consumption score of the user.
4. The method of claim 1, wherein,
the attribute information of the residence includes: average house renting price or average house purchasing price, and proportion of average people living consumption expenditure to sum of average people consumption expenditure of each consumption category;
calculating the residence score of the user according to the attribute information of the residence, comprising:
and calculating the residence fraction of the user according to the average house renting price or the average house purchasing price and the proportion of the average residence expense accounting for the sum of the average residence expense of each consumption class.
5. The method of claim 1, wherein,
calculating the consumption grade of the user according to the consumption score of the user and the residence score of the user, wherein the method comprises the following steps:
calculating a consumption index of the user according to the consumption score of the user and the residence score of the user;
and calculating the consumption grade of the user according to the consumption index of the user and the corresponding relation between the predetermined consumption index interval and the consumption grade.
6. The method as recited in claim 5, further comprising:
calculating the consumption index of the user in the target area according to the signaling data of the user in the target area in the historical time period;
dividing consumption indexes of a plurality of users in the target area into parts corresponding to preset consumption levels;
and determining a consumption index interval corresponding to the consumption level according to the maximum value and the minimum value of the consumption index corresponding to the consumption level.
7. A signaling data based message pushing apparatus, comprising:
the determining module is configured to determine a plurality of interest points in the track of the user according to the signaling data of the user in the current area in the current time period; when a consumer interest point exists in the plurality of interest points, determining the stay time of the user at the consumer interest point according to the signaling data;
the calculating module is configured to acquire the attribute information of the consumer interest point when the stay time is longer than a preset time threshold, and calculate the consumption score of the user according to the attribute information of the consumer interest point; determining the residence of the user according to the signaling data; acquiring attribute information of the residence, and calculating residence scores of the users according to the attribute information of the residence; calculating the consumption grade of the user according to the consumption score of the user and the residence score of the user; calculating the average consumption level of the users in the current area according to the consumption level of each user in the current area;
and the pushing module is configured to push messages to the users in the current area according to the average consumption level of the users in the current area.
8. The apparatus of claim 7, wherein,
the attribute information of the consumer interest point comprises: the specific gravity of the sum of the average consumption amount and the average consumption expenditure of the consumption category to which the average consumption expenditure accounts;
the calculation module is configured to calculate the consumption score of the user according to the average consumption amount and the proportion of the average consumption expenditure of the consumption category to the sum of the average consumption expenditure of the consumption categories.
9. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs,
when executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-6.
10. A computer readable medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-6.
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