CN109658138B - Advertisement putting method and device - Google Patents
Advertisement putting method and device Download PDFInfo
- Publication number
- CN109658138B CN109658138B CN201811494364.4A CN201811494364A CN109658138B CN 109658138 B CN109658138 B CN 109658138B CN 201811494364 A CN201811494364 A CN 201811494364A CN 109658138 B CN109658138 B CN 109658138B
- Authority
- CN
- China
- Prior art keywords
- matching
- dimension
- advertisement
- delivered
- customer
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0255—Targeted advertisements based on user history
-
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0247—Calculate past, present or future revenues
-
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0269—Targeted advertisements based on user profile or attribute
-
- 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
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/06—Asset management; Financial planning or analysis
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Finance (AREA)
- Strategic Management (AREA)
- Game Theory and Decision Science (AREA)
- Theoretical Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Economics (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Operations Research (AREA)
- Technology Law (AREA)
- Human Resources & Organizations (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the invention provides an advertisement putting method and device, wherein the method comprises the following steps: acquiring a set of matching dimensions, wherein each matching dimension in the set represents one or more characteristics of an advertisement product; aiming at each advertisement to be launched, acquiring a dimension value of each matched dimension in the set corresponding to the advertisement to be launched; acquiring a dimension value of each matching dimension in a set corresponding to a client according to the portrait information of the client; aiming at each advertisement to be delivered, matching the dimension value of each matching dimension in the set corresponding to the advertisement to be delivered with the dimension value of each matching dimension in the set corresponding to the customer, and determining the matching degree of the customer and the advertisement to be delivered according to the matching success condition of the customer and the advertisement to be delivered about each matching dimension; and delivering the advertisement to be delivered with the matching degree greater than or equal to a preset matching threshold value to the customer. The scheme delivers the advertisement content interested by the client to the client, and is beneficial to improving the accuracy of advertisement delivery.
Description
Technical Field
The invention relates to the technical field of information delivery, in particular to an advertisement delivery method and device.
Background
At present, the bank outlets and the self-owned equipment of the banks can only provide advertisements with fixed content, and the recommended products are single. The advertising mode has limited advertising effect, does not give full play to the resource advantages of banks, does not deliver high-quality products (deposit, financing, fund, insurance, credit cards and the like) of the banks to potential customers, and has low delivery accuracy.
Disclosure of Invention
The embodiment of the invention provides an advertisement delivery method, which aims to solve the technical problem of low accuracy of advertisement delivery in the prior art. The method comprises the following steps:
obtaining a set of matching dimensions, wherein each matching dimension in the set represents one or more characteristics of an advertised product;
aiming at each advertisement to be launched, acquiring a dimension value of each matched dimension in the set corresponding to the advertisement to be launched;
according to portrait information of a client, acquiring a dimension value of the client corresponding to each matching dimension in the set;
aiming at each advertisement to be delivered, matching the dimension value of the advertisement to be delivered corresponding to each matching dimension in the set with the dimension value of the customer corresponding to each matching dimension in the set, and determining the matching degree of the customer and the advertisement to be delivered according to the matching success condition of the customer and the advertisement to be delivered about each matching dimension;
and delivering the advertisement to be delivered with the matching degree greater than or equal to a preset matching threshold value to the customer.
The embodiment of the invention also provides an advertisement putting device, which is used for solving the technical problem of low accuracy of advertisement putting in the prior art. The device includes:
a dimension acquisition module for acquiring a set of matching dimensions, wherein each matching dimension in the set represents one or more characteristics of an advertised product;
the first dimension value acquisition module is used for acquiring a dimension value of each matched dimension in the set corresponding to each advertisement to be delivered;
the second dimension value acquisition module is used for acquiring a dimension value of each matched dimension corresponding to the set of the client according to the portrait information of the client;
the matching degree determining module is used for matching the dimension value of each matching dimension in the set corresponding to each advertisement to be launched with the dimension value of each matching dimension in the set corresponding to each customer, and determining the matching degree between the customer and the advertisement to be launched according to the matching success condition of the customer and the advertisement to be launched about each matching dimension;
and the delivery module is used for delivering the advertisements to be delivered with the matching degree greater than or equal to a preset matching threshold to the client.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the any advertisement putting method so as to solve the technical problem of low accuracy of advertisement putting in the prior art.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program for executing any advertisement delivery method is stored in the computer-readable storage medium, so as to solve the technical problem of low accuracy in advertisement delivery in the prior art.
In the embodiment of the invention, based on the set of matching dimensions, aiming at each advertisement to be delivered, the dimension value of the advertisement to be delivered corresponding to each matching dimension in the set is obtained, the dimension value of the customer corresponding to each matching dimension in the set is obtained, and then matching the dimension value of the customer corresponding to each matching dimension in the set with the dimension value of each matching dimension in the set corresponding to each advertisement to be delivered, determining the matching degree of the client and the advertisement to be delivered according to the matching success condition of the client and the advertisement to be delivered about each matching dimension, namely, the size of the matching degree indicates whether the client is a potential client for placing the advertisement, and finally, when the matching degree is more than or equal to the preset matching threshold value, the client is matched with the advertisement to be placed, namely, the client is a potential client for delivering the advertisement, and the advertisement to be delivered with the matching degree larger than or equal to the preset matching threshold is delivered to the client. The method and the system realize the delivery based on the matching degree of the client and the advertisement to be delivered, deliver the advertisement content interested by the client to the client, and are favorable for improving the accuracy of advertisement delivery.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
fig. 1 is a flowchart of an advertisement delivery method according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating dimension values of matching dimensions according to an embodiment of the present invention;
fig. 3 is a preset relationship that different sets included in a trapezoidal discrete function correspond to different matching degrees according to an embodiment of the present invention;
FIG. 4 is a block diagram of a computer device according to an embodiment of the present invention;
fig. 5 is a block diagram of an advertisement delivery apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the following embodiments and accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
In an embodiment of the present invention, an advertisement delivery method is provided, as shown in fig. 1, the method includes:
step 102: obtaining a set of matching dimensions, wherein each matching dimension in the set represents one or more characteristics of an advertised product;
step 104: aiming at each advertisement to be launched, acquiring a dimension value of each matched dimension in the set corresponding to the advertisement to be launched;
step 106: according to portrait information of a client, acquiring a dimension value of the client corresponding to each matching dimension in the set;
step 108: aiming at each advertisement to be delivered, matching the dimension value of the advertisement to be delivered corresponding to each matching dimension in the set with the dimension value of the customer corresponding to each matching dimension in the set, and determining the matching degree of the customer and the advertisement to be delivered according to the matching success condition of the customer and the advertisement to be delivered about each matching dimension;
step 110: and delivering the advertisement to be delivered with the matching degree greater than or equal to a preset matching threshold value to the customer.
As can be seen from the process shown in fig. 1, in the embodiment of the present invention, based on the set of matching dimensions, for each advertisement to be delivered, a dimension value of the advertisement to be delivered corresponding to each matching dimension in the set is obtained, a dimension value of a customer corresponding to each matching dimension in the set is obtained, and then the dimension value of the customer corresponding to each matching dimension in the set is matched with the dimension value of each matching dimension in the set corresponding to each advertisement to be delivered, and according to a successful matching situation between the customer and the advertisement to be delivered with respect to each matching dimension, a matching degree between the customer and the advertisement to be delivered is determined, where a size of the matching degree indicates whether the customer is a potential customer of the advertisement to be delivered, and finally, when the matching degree is greater than or equal to a preset matching threshold, the customer is matched with the advertisement to be delivered, that is the customer who is a potential customer of the advertisement to be delivered, and then delivering the advertisement to be delivered with the matching degree greater than or equal to the preset matching threshold value to the customer. Therefore, the advertisement putting is carried out based on the matching degree of the client and the advertisement to be put, the advertisement content which is interested by the client is put to the client, and the improvement of the accuracy degree of the advertisement putting is facilitated.
In specific implementation, the advertisement to be delivered may be an advertisement of any product, for example, an advertisement of products such as internet products, living goods, catering, financial products, travel products, and the like, and the advertisement delivery method may be applied to a financial institution or an internet platform.
In particular implementations, the set of matching dimensions may include a plurality of matching dimensions, where each matching dimension represents one or more characteristics of an advertised product. For example, taking financial products as an example, bank products include deposits, financing, funds, insurance, credit cards, and the like, the set of matching dimensions may include matching dimensions such as product type, risk level, expected profitability, and term category, and the set of matching dimensions is denoted as W ═ W1, W2,. Wn }, where n is the number of matching dimensions, and the size of n is not specifically limited in this application, and in the specific implementation, n may be determined to be different positive integers according to different problems.
In specific implementation, the dimension values of the advertisement to be delivered and the client corresponding to the matching dimensions may be in the forms of a classification value or a quantization value, and the quantization value may also be a discrete quantization value and a continuous quantization value, and each matching dimension may have a different dimension value.
In specific implementation, the dimension value of each matching dimension corresponding to each advertisement to be delivered in the set may be determined by the staff according to factors such as experience, historical transaction data, business needs, and attributes of advertisement products. For example, as shown in fig. 2, the dimension values of a certain ad to be delivered g corresponding to all matching dimensions in the set may include both classification values and values in the form of quantization values: financial products (dimension values in the form of classification values); the expected yield is 6% (dimension value in the form of continuous quantized value); high risk level (dimension value in the form of classification value); the deadline categories are: less than or equal to 365 days (dimension value in the form of classification value).
In a specific implementation, the portrait information of the client may be obtained through the prior art, which is not specifically limited in this application. A dimension value corresponding to each matching dimension in the set may be determined for the customer based on the customer's representation information. For example, for customer a, as shown in fig. 2, the dimension values corresponding to all matching dimensions in the set may be expressed as: favoring financial products (not other products); receiving a product with a low risk level; the expected profitability is 4.5%; it is desirable to purchase products for a period of less than 1 year.
In specific implementation, aiming at each advertisement to be launched, matching the dimension value of each matching dimension in the set corresponding to the advertisement to be launched with the dimension value of each matching dimension in the set corresponding to the customer, and further determining the matching degree of the customer and the advertisement to be launched according to the matching success condition of the customer and the advertisement to be launched about each matching dimension. Specifically, the matching degree between the client and the advertisement to be delivered can be determined according to the matching result in the following manner:
and forming a dimension set by matching dimensions which are successfully matched, wherein the dimension set is a subset of the matching dimension set, inputting the dimension set to a trapezoidal discrete function by utilizing the trapezoidal discrete function, and outputting the matching degree of the customer and the advertisement to be delivered by the trapezoidal discrete function, wherein the trapezoidal discrete function comprises preset relations between different dimension sets and different matching degrees.
Specifically, the trapezoidal discrete function is a function of: the elements defining the domain (i.e., inputs) are: the matching dimensions that match successfully constitute a dimension set, the dimension set is a subset of the matching dimension set, and the value range (i.e., output) is: real numbers (representing degrees of matching), and the preset relationship between the set of different dimensions and the different degrees of matching included in this function needs to satisfy the following condition:
the system comprises a first dimension set P1 and a second dimension set P2, wherein the first dimension set P1 corresponds to a first matching degree r1, the second dimension set P2 corresponds to a second matching degree r2, and when the first dimension set P1 is a subset of the second dimension set P2, the first matching degree r1 is less than or equal to the second matching degree r 2.
In specific implementation, the matching degree corresponding to each dimension set can be predetermined by using historical transaction data. For example, in the history data, condition 1: the dimension set of the customer and the advertisement matching successfully is exactly P1, and the customer purchases the product corresponding to the advertisement, the number of data satisfying the condition 1 is n1, and the condition 2: the set of dimensions for which the customer and the advertisement match successfully is exactly P2 and the customer purchases the product corresponding to the advertisement, and the number of data satisfying the condition 2 is n 2. Then r1 and r2 need to satisfy the condition: r1/n1 ═ r2/n 2.
For example, preset relationships between different dimension sets and different matching degrees formed by matching dimensions that match successfully may be preset as shown in fig. 3, where a dimension set P1 formed by matching dimensions that match successfully is { product type, risk level, expected profitability, term category }, a dimension set P2 formed by matching dimensions that match successfully is { product type, expected profitability, term category }, a dimension set P3 formed by matching dimensions that match successfully is { product type, term category }, a dimension set P4 formed by matching dimensions that match successfully is { product type }, a matching degree corresponding to the dimension set P1 is 10, a matching degree corresponding to the dimension set P2 is 8, a matching degree corresponding to the dimension set P3 is 5, and a matching degree corresponding to the dimension set P4 is 2.
Referring to the dimension value of the client a corresponding to each matching dimension in the set and the dimension value of the advertisement g to be delivered corresponding to each matching dimension in the set shown in fig. 2, matching the dimension value of the client a corresponding to each matching dimension in the set with the dimension value of the advertisement g to be delivered corresponding to each matching dimension in the set, at this time, matching the dimension values of the client a and the advertisement g to be delivered with respect to the matching dimension "product type" is successful, matching the dimension values of the client a and the advertisement g to be delivered with respect to the matching dimension "expected profitability" is unsuccessful (for example, matching the dimension values of the client a and the advertisement g to be delivered with respect to the matching dimension "expected profitability" is successful under the condition that the absolute value of the difference between the two dimension values is less than or equal to 1%), matching the dimension values of the client a and the advertisement g to be delivered with respect to the matching dimension "risk level" is unsuccessful, the dimension values of the client a and the advertisement g to be delivered with respect to the "term category" matching dimension are successfully matched, that is, the dimension set formed by the matching dimensions of the client a and the advertisement g to be delivered successfully is the dimension set P3, and the matching degree of the client a and the advertisement g to be delivered is 5.
In specific implementation, for the preset relationship between different dimension sets and different matching degrees, the matching degree of how large the different dimension sets specifically correspond to may be determined according to specific situations as long as the condition of the trapezoidal discrete function is satisfied, and fig. 3 is only an example. The specific value of the matching degree can also be determined according to specific situations, for example, the value is a decimal value in fig. 3, and can also be a percentile value, and the like.
In specific implementation, in the process of matching the dimension value of the advertisement to be delivered corresponding to each matching dimension in the set with the dimension value of the customer corresponding to each matching dimension in the set, for each matching dimension, when the dimension values of the customer and the advertisement to be delivered about the matching dimension are both classification values or are both discrete quantization values, and the dimension values of the customer and the advertisement to be delivered about the matching dimension are the same, the customer and the advertisement to be delivered about the matching dimension are successfully matched;
and when the dimension values of the customer and the advertisement to be delivered about the matching dimension are continuous quantitative values, and the absolute value of the difference between the dimension values of the customer and the advertisement to be delivered about the matching dimension is smaller than a threshold value, the customer and the advertisement to be delivered about the matching dimension are successfully matched.
In specific implementation, when the matching degree is greater than or equal to a preset matching threshold, for each advertisement to be delivered, the matching degree of which is greater than or equal to the preset matching threshold, when the fund amount owned by the customer is greater than a preset amount (that is, it is determined that the customer has the ability to consume the product corresponding to the advertisement to be delivered), the advertisement to be delivered, the matching degree of which is greater than or equal to the preset matching threshold, is delivered to the customer, wherein the preset amount is a preset multiple of the sale amount of the product of the advertisement to be delivered, the matching degree of which is greater than or equal to the preset matching threshold.
In specific implementation, the preset matching threshold may be determined according to specific situations, and when the preset matching threshold is set to be large, so that the matching degrees between the client and all the advertisements to be delivered are smaller than the preset matching threshold, in order to avoid the situation that the advertisements are not delivered to the client, in this embodiment, when the matching degrees between the client and each advertisement to be delivered are smaller than the preset matching threshold, the matching degrees between the client and each advertisement to be delivered are sorted in a descending order, and the advertisements to be delivered corresponding to the first M matching degrees are delivered to the client, where M is a positive integer.
In specific implementation, the advertisement delivery method can be applied to bank equipment, for example, when a customer goes to a bank to transact business, the customer is delivered with an advertisement by using a display of a bank outlet or own equipment of the bank, and a potential customer is guided to consume products and services of the bank. The bank has millions of network points, millions of self-contained devices provide services for customers in all banks, the advertisement platform is very large in potential, and the advertisement putting method can bring better experience to the customers and considerable income to the bank.
In this embodiment, a computer device is further provided, as shown in fig. 4, including a memory 402, a processor 404, and a computer program stored on the memory and executable on the processor, and when the processor executes the computer program, the processor implements any of the advertisement delivery methods described above.
In the present embodiment, there is also provided a computer-readable storage medium storing a computer program for executing any of the advertisement delivery methods described above.
Based on the same inventive concept, an advertisement delivery device is further provided in the embodiments of the present invention, as described in the following embodiments. Because the principle of the advertisement delivery device for solving the problems is similar to that of the advertisement delivery method, the implementation of the advertisement delivery device can refer to the implementation of the advertisement delivery method, and repeated parts are not repeated. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 5 is a block diagram of an advertisement delivery apparatus according to an embodiment of the present invention, and as shown in fig. 5, the apparatus includes:
a dimension acquisition module 502 for acquiring a set of matching dimensions, wherein each matching dimension in the set represents one or more features of an advertised product;
a first dimension value obtaining module 504, configured to, for each advertisement to be delivered, obtain a dimension value of each matching dimension in the set corresponding to the advertisement to be delivered;
a second dimension value obtaining module 506, configured to obtain, according to portrait information of a client, a dimension value corresponding to each matching dimension in the set for the client;
a matching degree determining module 508, configured to, for each advertisement to be delivered, match a dimension value of the advertisement to be delivered corresponding to each matching dimension in the set with a dimension value of the customer corresponding to each matching dimension in the set, and determine a matching degree between the customer and the advertisement to be delivered according to a successful matching condition of the customer and the advertisement to be delivered with respect to each matching dimension;
and the delivery module 510 is configured to deliver the advertisement to be delivered, of which the matching degree is greater than or equal to a preset matching threshold, to the customer.
In an embodiment, the matching degree determining module is configured to combine matching dimensions successfully matched into a dimension set, where the dimension set is a subset of the matching dimension set, input the dimension set to a trapezoidal discrete function by using the trapezoidal discrete function, and the trapezoidal discrete function outputs the matching degree between the client and the advertisement to be delivered, where the trapezoidal discrete function includes preset relationships between different dimension sets and different matching degrees.
In one embodiment, the preset relationships between the different sets of dimensions and the different degrees of matching include:
the method comprises a first dimension set and a second dimension set, wherein the first dimension set corresponds to a first matching degree, the second dimension set corresponds to a second matching degree, and when the first dimension set is a subset of the second dimension set, the first matching degree is less than or equal to the second matching degree.
In one embodiment, the dimension values of the client and the advertisement to be delivered corresponding to the matching dimensions are both classification values or both quantization values.
In an embodiment, the matching degree determining module is further configured to determine, for each matching dimension, that the matching between the customer and the advertisement to be delivered is successful when the dimension values of the customer and the advertisement to be delivered with respect to the matching dimension are both classification values or are both discrete quantization values, and the dimension values of the customer and the advertisement to be delivered with respect to the matching dimension are the same;
and when the dimension values of the customer and the advertisement to be delivered about the matching dimension are continuous quantitative values, and the absolute value of the difference between the dimension values of the customer and the advertisement to be delivered about the matching dimension is smaller than a threshold value, determining that the matching between the customer and the advertisement to be delivered about the matching dimension is successful.
In an embodiment, the delivery module is specifically configured to deliver, to each advertisement to be delivered, of which the matching degree is greater than or equal to a preset matching threshold, when a fund amount owned by the customer is greater than a preset amount, the advertisement to be delivered, of which the matching degree is greater than or equal to the preset matching threshold, to the customer, where the preset amount is a preset multiple of an amount of sale of a product of the advertisement to be delivered, of which the matching degree is greater than or equal to the preset matching threshold.
In an embodiment, the delivery module is further configured to sort, according to a descending order, the matching degrees of the client and the advertisements to be delivered when the matching degrees of the client and the advertisements to be delivered are both smaller than the preset matching threshold, and deliver the advertisements to be delivered corresponding to the first M matching degrees to the client, where M is a positive integer.
In another embodiment, a software is provided, which is used to execute the technical solutions described in the above embodiments and preferred embodiments.
In another embodiment, a storage medium is provided, in which the software is stored, and the storage medium includes but is not limited to: optical disks, floppy disks, hard disks, erasable memory, etc.
The embodiment of the invention realizes the following technical effects: in the embodiment of the invention, based on the set of matching dimensions, aiming at each advertisement to be delivered, the dimension value of the advertisement to be delivered corresponding to each matching dimension in the set is obtained, the dimension value of the customer corresponding to each matching dimension in the set is obtained, and then matching the dimension value of the customer corresponding to each matching dimension in the set with the dimension value of each matching dimension in the set corresponding to each advertisement to be delivered, determining the matching degree of the customer and the advertisement to be delivered according to the matching success condition of the customer and the advertisement to be delivered about each matching dimension, the size of the matching degree indicates whether the client is a potential client of the advertisement to be delivered, and finally, when the matching degree is greater than or equal to a preset matching threshold value, the client is matched with the advertisement to be delivered, namely, the client is a potential client of the advertisement to be delivered, and the advertisement to be delivered with the matching degree greater than or equal to the preset matching threshold is delivered to the client. Therefore, the advertisement putting is carried out based on the matching degree of the client and the advertisement to be put, the advertisement content which is interested by the client is put to the client, and the improvement of the accuracy degree of the advertisement putting is facilitated.
It will be apparent to those skilled in the art that the modules or steps of the embodiments of the invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, embodiments of the invention are not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the embodiment of the present invention by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An advertisement delivery method, comprising:
obtaining a set of matching dimensions, wherein each matching dimension in the set represents one or more characteristics of an advertised product;
aiming at each advertisement to be launched, acquiring a dimension value of each matched dimension in the set corresponding to the advertisement to be launched;
according to portrait information of a client, acquiring a dimension value of the client corresponding to each matching dimension in the set;
aiming at each advertisement to be delivered, matching the dimension value of the advertisement to be delivered corresponding to each matching dimension in the set with the dimension value of the customer corresponding to each matching dimension in the set, and determining the matching degree of the customer and the advertisement to be delivered according to the matching success condition of the customer and the advertisement to be delivered about each matching dimension;
delivering the advertisement to be delivered with the matching degree greater than or equal to a preset matching threshold to the customer;
determining the matching degree of the client and the advertisement to be delivered according to the matching success condition of the client and the advertisement to be delivered about each matching dimension, comprising the following steps:
combining matching dimensions successfully matched into a dimension set, wherein the dimension set is a subset of the matching dimension set, inputting the dimension set to a trapezoidal discrete function by using the trapezoidal discrete function, and outputting the matching degree of the client and the advertisement to be delivered by using the trapezoidal discrete function, wherein the trapezoidal discrete function comprises a preset relation between different dimension sets and different matching degrees, dimension values of the client and the advertisement to be delivered corresponding to the matching dimensions are both classification values or both quantization values, and for each matching dimension, the dimension values of the client and the advertisement to be delivered about the matching dimension are the same, so that the client and the advertisement to be delivered about the matching dimension are successfully matched;
the preset relations between the different dimension sets and the different matching degrees comprise:
the system comprises a first dimension set and a second dimension set, wherein the first dimension set corresponds to a first matching degree, the second dimension set corresponds to a second matching degree, when the first dimension set is a subset of the second dimension set, the first matching degree is less than or equal to the second matching degree, r1/n1 is r2/n2, wherein r1 is the first matching degree corresponding to the first dimension set, n1 is the data quantity of the first dimension set of the customer and the advertisement in the historical transaction data, r2 is the second matching degree corresponding to the second dimension set, and n2 is the data quantity of the second dimension set of the customer and the advertisement in the historical transaction data.
2. The advertisement delivery method according to claim 1, wherein for each matching dimension, when the dimension values of the customer and the advertisement to be delivered with respect to the matching dimension are continuous quantization values, and the absolute value of the difference between the dimension values of the customer and the advertisement to be delivered with respect to the matching dimension is smaller than a threshold value, the matching between the customer and the advertisement to be delivered with respect to the matching dimension is successful.
3. The advertisement delivery method according to any one of claims 1 to 2, wherein delivering the advertisement to be delivered with a matching degree greater than or equal to a preset matching threshold to the customer comprises:
and for each advertisement to be delivered with the matching degree greater than or equal to a preset matching threshold, delivering the advertisement to be delivered with the matching degree greater than or equal to the preset matching threshold to the customer when the fund amount owned by the customer is greater than a preset amount, wherein the preset amount is a preset multiple of the sale amount of the product of the advertisement to be delivered with the matching degree greater than or equal to the preset matching threshold.
4. The advertisement delivery method according to any one of claims 1 to 2, wherein delivering the advertisement to be delivered with a matching degree greater than or equal to a preset matching threshold to the customer comprises:
and when the matching degrees of the client and the advertisements to be launched are smaller than the preset matching threshold, sequencing the matching degrees of the client and the advertisements to be launched according to a descending order, and launching the advertisements to be launched corresponding to the first M matching degrees to the client, wherein M is a positive integer.
5. An advertisement delivery device, comprising:
a dimension acquisition module for acquiring a set of matching dimensions, wherein each matching dimension in the set represents one or more characteristics of an advertised product;
the first dimension value acquisition module is used for acquiring a dimension value of each matched dimension in the set corresponding to each advertisement to be delivered;
the second dimension value acquisition module is used for acquiring a dimension value of each matched dimension corresponding to the set of the client according to the portrait information of the client;
the matching degree determining module is used for matching the dimension value of each matching dimension in the set corresponding to each advertisement to be launched with the dimension value of each matching dimension in the set corresponding to each customer, and determining the matching degree between the customer and the advertisement to be launched according to the matching success condition of the customer and the advertisement to be launched about each matching dimension;
the delivery module is used for delivering the advertisements to be delivered with the matching degree greater than or equal to a preset matching threshold to the client;
the matching degree determining module is configured to combine matching dimensions successfully matched into a dimension set, where the dimension set is a subset of the matching dimension set, and input the dimension set to a trapezoidal discrete function by using a trapezoidal discrete function, and the trapezoidal discrete function outputs a matching degree between the client and the advertisement to be delivered, where the trapezoidal discrete function includes preset relationships between different dimension sets and different matching degrees, and dimension values of the client and the advertisement to be delivered corresponding to each matching dimension are both classification values or both quantization values, and the preset relationships between different dimension sets and different matching degrees include: a first dimension set and a second dimension set, wherein the first dimension set corresponds to a first matching degree, the second dimension set corresponds to a second matching degree, when the first dimension set is a subset of the second dimension set, the first matching degree is less than or equal to the second matching degree, r1/n1 is r2/n2, wherein r1 is the first matching degree corresponding to the first dimension set, n1 is the data quantity of the first dimension set corresponding to the dimension set of the customer and the advertisement in the historical transaction data, r2 is the second matching degree corresponding to the second dimension set, and n2 is the data quantity of the second dimension set corresponding to the dimension set of the customer and the advertisement in the historical transaction data;
the matching degree determining module is further configured to determine, for each matching dimension, that the matching between the customer and the advertisement to be delivered is successful when the dimension values of the customer and the advertisement to be delivered with respect to the matching dimension are both classification values or both discrete quantization values, and the dimension values of the customer and the advertisement to be delivered with respect to the matching dimension are the same.
6. The advertisement delivery apparatus according to claim 5, wherein the matching degree determining module is further configured to determine, for each matching dimension, that the matching between the customer and the advertisement to be delivered is successful with respect to the matching dimension when the dimension values of the customer and the advertisement to be delivered with respect to the matching dimension are both continuous quantitative values and an absolute value of a difference between the dimension values of the customer and the advertisement to be delivered with respect to the matching dimension is smaller than a threshold value.
7. The advertisement delivery device according to any one of claims 5 to 6, wherein the delivery module is specifically configured to deliver, to the customer, the advertisement to be delivered, of which the matching degree is greater than or equal to a preset matching threshold, when a fund amount possessed by the customer is greater than a preset amount, the advertisement to be delivered, of which the matching degree is greater than or equal to the preset matching threshold, where the preset amount is a preset multiple of a product sale amount of the advertisement to be delivered, of which the matching degree is greater than or equal to the preset matching threshold.
8. The advertisement delivery device according to any one of claims 5 to 6, wherein the delivery module is further configured to, when the matching degrees between the client and the advertisements to be delivered are smaller than the preset matching threshold, sort the matching degrees between the client and the advertisements to be delivered in descending order, and deliver the advertisements to be delivered corresponding to the first M matching degrees to the client, where M is a positive integer.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of advertisement delivery according to any one of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium storing a computer program for executing the advertisement delivery method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811494364.4A CN109658138B (en) | 2018-12-07 | 2018-12-07 | Advertisement putting method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811494364.4A CN109658138B (en) | 2018-12-07 | 2018-12-07 | Advertisement putting method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109658138A CN109658138A (en) | 2019-04-19 |
| CN109658138B true CN109658138B (en) | 2021-04-27 |
Family
ID=66112904
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811494364.4A Active CN109658138B (en) | 2018-12-07 | 2018-12-07 | Advertisement putting method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109658138B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110969486B (en) * | 2019-11-29 | 2024-02-27 | 中国银行股份有限公司 | Advertisement putting method, user, server, system and storage medium |
| CN113626469B (en) * | 2020-05-08 | 2023-10-13 | 中国电信股份有限公司 | Internet of things equipment matching method and device |
| CN115099838B (en) * | 2022-03-30 | 2023-03-24 | 西安一尘数字化服务有限公司 | Interest positioning method and system applied to online advertisement putting |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107169793A (en) * | 2017-05-09 | 2017-09-15 | 杭州纸箱哥文化传播有限公司 | A kind of advertisement placement method and system |
-
2018
- 2018-12-07 CN CN201811494364.4A patent/CN109658138B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN109658138A (en) | 2019-04-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Cheung et al. | Dynamic pricing and demand learning with limited price experimentation | |
| CN111401963B (en) | Method and device for training user behavior prediction model | |
| CN109191202B (en) | Resource allocation method, device, electronic equipment and computer readable storage medium | |
| CN109658138B (en) | Advertisement putting method and device | |
| CN103927615B (en) | Entity is associated with classification | |
| WO2008055217A2 (en) | Selecting advertisements based on consumer transactions | |
| CN107146158B (en) | Electronic data processing method and device | |
| CN109711866B (en) | Bank advertisement putting method, device and system | |
| CN109583964B (en) | Advertisement putting method and device | |
| CN110866771A (en) | Information processing method, system, medium, and computer system | |
| CN113516496B (en) | Advertisement conversion rate estimation model construction method, device, equipment and medium thereof | |
| CN110019774B (en) | Label distribution method, device, storage medium and electronic device | |
| CN113298568A (en) | Method and device for delivering advertisements | |
| CN112541827A (en) | Intelligent investment amount configuration method and device | |
| CN107016557A (en) | The recommendation method and apparatus of product data | |
| CN109858943A (en) | Advertisement placement method and device | |
| Bustaman et al. | The Impact of Trust, Perceived Usefulness, Perceived Ease of Use, and Customer Intentions on Customer Attitudes Toward the Use of Technology | |
| US10909572B2 (en) | Real-time financial system ads sharing system | |
| Yeh et al. | Exploring the actual implementation of e-wallet application in Malaysia | |
| CN113763004A (en) | Information matching method and device | |
| US20130204764A1 (en) | Method of and system for trading of synthetic assets | |
| KR102090781B1 (en) | A Method Of Distributing Profits | |
| CN115660814A (en) | Risk prediction method and device, computer readable storage medium and electronic equipment | |
| Hakizimana et al. | Business Development Services and Government Regulations: Prospects and Challenges of Youth-Owned Enterprises in Kigali Rwanda | |
| Lobel et al. | Dynamic contracting under positive commitment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |