CN114463051A

CN114463051A - Advertisement delivery method, device and equipment for preventing client from seizing flow

Info

Publication number: CN114463051A
Application number: CN202210054357.2A
Authority: CN
Inventors: 王建英; 郭麒
Original assignee: Beijing Meishu Information Technology Co ltd
Current assignee: Beijing Meishu Information Technology Co ltd
Priority date: 2022-01-18
Filing date: 2022-01-18
Publication date: 2022-05-10

Abstract

The application relates to an advertisement putting method, an advertisement putting device and advertisement putting equipment for preventing a client from seizing flow, wherein the method comprises the following steps: acquiring the final budget of each client account and the historical cost of each client account, screening each client account according to the final budget and the historical cost of each client account, and taking the reserved client account as a valid client account; acquiring information characteristics associated with the release of each order under the effective customer account, screening each order according to the information characteristics associated with the release of each order, and taking the reserved order as an effective order; and transferring each effective order to an advertisement putting server, calculating the number of times that each effective order can participate in putting within a preset time slice while transferring, and putting each effective order according to the calculated number of times that each effective order can participate in putting. The method and the device effectively avoid the condition that the same advertisement occupies more traffic, and finally realize the maximum benefit of advertisement putting, so that the media traffic is more fully and accurately occupied.

Description

Advertisement delivery method, device and equipment for preventing client from seizing flow

Technical Field

The present application relates to the field of advertisement delivery technologies, and in particular, to an advertisement delivery method, an advertisement delivery device, and advertisement delivery equipment for preventing a client from seizing traffic.

Background

The demand for media traffic is now as much padding as possible, the higher the padding, the higher the gain. It is desirable for terminal application vendors that more advertising consumers can participate during terminal application use. Therefore, a certain proportion of traffic is used for advertisement delivery to some small and medium-sized clients with a lower price. The method comprises the steps of obtaining a plurality of small customers, and calculating the effective cost of the small customers when the small customers are exposed, wherein the advertisement request is large in magnitude and real-time, the calculation of the accelerated advertisement is that the effective cost is calculated when the advertisement is exposed, the advertisement display has time delay, so that the account balance of the small customers is very small, a large amount of occupied flow is released, bad accounts are caused, even the customers can create multiple orders and multiple plans without limitation through accounts with multiple small balances, and media flow during the use period of terminal application is occupied, so that the media flow is occupied maliciously.

Disclosure of Invention

In view of this, the present application provides an advertisement delivery method for preventing a client from seizing traffic, which can effectively prevent media traffic from being maliciously seized.

According to an aspect of the present application, there is provided an advertisement delivery method for preventing a client from preempting traffic, including:

acquiring the final budget of each customer account and the historical cost of each customer account, screening each customer account according to the final budget and the historical cost of each customer account, and taking the reserved customer account as a valid customer account;

acquiring information characteristics associated with the release of each order by the valid customer account, screening each order according to the information characteristics associated with the release of each order, and taking the reserved order as a valid order;

and transferring each effective order to an advertisement putting server, calculating the number of times that each effective order can participate in putting in a preset time slice while transferring, and putting each effective order according to the calculated number of times that each effective order can participate in putting.

In a possible implementation manner, when acquiring the final budget of the client account, the method further includes determining a current state of each client account, and acquiring the final budget based on the current state of each client account;

wherein the current state of each customer account includes at least one of a normal state and an accelerated release state.

In a possible implementation manner, when the current state is a normal state and the final budget of the customer account is obtained, the final budget is obtained by selecting one of the total budget, the daily budget, and the balance of each customer account with the smallest value as the final budget.

In a possible implementation manner, when the current state is the accelerated release state and the final budget of the customer account is obtained, the current time slice budget of the account is used as the final budget.

In one possible implementation manner, the historical spending time of each customer account is obtained, and the historical spending time comprises at least one of a historical total spending and a historical spending average value;

the historical total cost is the total cost of the customer account in the first N time slices;

the historical spending average is an average of the total spending of the customer account in the previous N time slices;

the time slice is a preset time period, and the unit of the time slice is a minute level.

In a possible implementation manner, when filtering each of the customer account numbers according to the final budget and the historical cost of each of the customer account numbers, the method further includes: and selecting corresponding account screening conditions to screen the customer account according to the current state of the customer account.

In a possible implementation manner, when screening each order according to the information characteristic associated with each order placement, the order screening condition includes: and performing data fingerprint calculation on the information characteristics of each order, and selecting one order from the more than two orders with consistent data fingerprints as the effective order when the data fingerprints of the information characteristics of the more than two orders are consistent.

In a possible implementation manner, when the number of times that each valid order can participate in placement within a preset time slice is calculated, the following is provided: the number of times of participation in the release is calculated as (budget/price)/(number of servers and number of processes and exposure rate);

the budget is estimated purchase cost of the effective order before delivery, the price is actual purchase cost of the effective order during delivery, the number of servers is the number of the orders delivered to the advertisement delivery servers, the number of processes is the number of programs started on one physical service, and the exposure rate is advertisement display number/advertisement delivery number.

According to another aspect of the present application, there is also provided an advertisement delivery apparatus for preventing a client from preempting traffic, including: the system comprises an account screening module, an order screening module and a release management module;

the account screening module is configured to acquire a final budget of each client account and a historical cost of each client account, screen each client account according to the final budget and the historical total cost of each client account, and take a reserved client account as a valid client account;

the order screening module is configured to acquire information characteristics associated with the release of each order under each effective customer account, screen each order according to the information characteristics associated with the release of each order, and reserve the order meeting order screening conditions as an effective order;

the delivery management module is configured to place each effective order to an advertisement delivery server, calculate the number of times that each effective order can participate in delivery within a preset time slice at the same time, and deliver each effective order according to the calculated number of times that each effective order can participate in delivery.

According to another aspect of the present application, there is also provided an advertisement delivery apparatus for preventing a client from preempting traffic, including:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to execute the executable instructions to implement any of the methods described above.

By screening the customer account, reserving the effective customer account, screening each order under the effective customer account and reserving the effective order, the advertisement putting is managed from two aspects of the customer account and the order under the customer account, meanwhile, the participation times of the screened advertisements to be put are calculated in the advertisement putting process, and the advertisement putting is controlled according to the participation times, thereby finally realizing the management control of the advertisement putting from three aspects of the customer account and the advertisement order in the early stage of the advertisement putting, the management control of the advertisement putting in the advertisement putting process and the like, and further effectively avoiding the condition that the same advertisement occupies more flow for the malicious clients occupying the flow, and simultaneously, by controlling the participation times of each advertisement in the advertisement putting process, finally, the maximum profit of advertisement putting is realized, and the media flow is more fully and accurately occupied.

Other features and aspects of the present application will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the application and, together with the description, serve to explain the principles of the application.

Fig. 1 is a flowchart illustrating an advertisement delivery method for preventing a client from preempting traffic according to an embodiment of the present application;

fig. 2 is a system architecture diagram of an advertisement delivery method for preventing a client from preempting traffic according to an embodiment of the present application;

fig. 3 is a block diagram illustrating an architecture of an advertisement delivery apparatus for preventing a client from preempting traffic according to an embodiment of the present application;

fig. 4 shows a block diagram of an advertisement delivery device for preventing a client from preempting traffic according to an embodiment of the present application.

Detailed Description

Various exemplary embodiments, features and aspects of the present application will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.

The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.

Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present application. It will be understood by those skilled in the art that the present application may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present application.

Fig. 1 shows a flowchart of an advertisement delivery method for preventing a client from preempting traffic according to an embodiment of the present application. As shown in fig. 1, the method includes: step S100, obtaining the final budget of each customer account and the historical cost of each customer account, and screening each customer account according to the final budget and the historical cost of each customer account, and taking the reserved customer account as an effective account. Here, as will be understood by those skilled in the art, each customer account refers to a user account that requests placement of an advertisement in the same application. The final budget of each client account refers to the maximum expenditure cost that each client account can bear for requesting to put the advertisement at the current time. The historical spending is all the spending expenses of the advertisement delivered before the current time by each client account.

Next, in step S200, information characteristics associated with placing each order by each valid customer account are obtained, and each order is screened according to the information characteristics associated with placing each order, and the reserved order is used as a valid order. Here, it should be explained that a plurality of orders can be associated under each customer account, and each order corresponds to one advertisement delivery. The information characteristics associated with each order placement may include information such as the region, time, bid price, and material of the advertisement placement corresponding to the order. The bidding refers to purchasing at a price not higher than a specified price, and meanwhile, it should be noted that the budget of each order under the customer account refers to the estimated cost of the advertisement delivery corresponding to each order before delivery. The cost of each order refers to the actual cost generated when the advertisement corresponding to each order is actually delivered.

Further, in step S300, each valid order is released to the advertisement releasing server, the number of times that each valid order can participate in releasing within a preset time slice is calculated while releasing, and releasing of each valid order is performed according to the calculated number of times that each valid order can participate in releasing. Here, it should be explained that the time slice refers to a preset time period, and the unit of the time slice can be in the order of minutes or in the order of seconds, which can be flexibly set according to the actual situation.

Therefore, the advertisement putting method of the embodiment of the application reserves the effective customer account number by screening the customer account number, and screens each order under the effective customer account number, reserves the effective order, thereby managing the advertisement putting from two aspects of the customer account number and the order under the customer account number, and simultaneously, in the advertisement putting process, also calculates the participatable times of the screened advertisements to be put, and controls the advertisement putting according to the participatable times, finally realizing the management control of the advertisement putting from the customer account number and the advertisement order in the early stage of the advertisement putting, the management control of the advertisement putting in the advertisement putting process, and the like, thereby carrying out the screening in the early stage of the advertisement putting for the customers with malicious dominating traffic, and simultaneously, by controlling the participatable putting times of each advertisement in the advertisement putting process, the situation that the same advertisement occupies more traffic is effectively avoided, and the maximum benefit of advertisement delivery is finally realized, so that the media traffic is more fully and accurately occupied.

In a possible implementation manner, different acquisition manners may be selected according to the current state of the customer account when acquiring the final budget of the customer account. Specifically, the current state of the customer account includes at least one of a normal state and an abnormal release state. The normal state refers to that advertisement placement under the customer account is performed in a normal manner. The abnormal delivery state refers to that advertisement delivery under the customer account is delivered in an accelerated mode.

Specifically, the current status of the customer account may be obtained directly from the configuration information of the customer account. That is, the client account can realize the setting of the current state by editing the state after logging in. The editing of the state comprises normal putting and accelerated putting, and any one of the two is selected as the current state. When the method of the embodiment of the application is executed, the current state information can be extracted from the setting information of the customer account directly.

Here, it should be further noted that the setting of the current state of each customer account may be performed by the customer according to the current actual situation, and is not specifically limited in this application.

Meanwhile, it should be further explained that the normal state specifically refers to: the daily budget is evenly distributed throughout the delivery schedule. The abnormal release state comprises accelerated release, and the accelerated release means that more shows are obtained in the whole release schedule as far as possible. That is, if the allocation method of the daily budget is not equally divided over the entire delivery schedule, the abnormal delivery state is determined.

Further, when different obtaining methods are selected to obtain the final budget of the customer account according to the current state of the customer account, the current state of each customer account is determined first, and then the final budget is obtained according to the determined current state of each customer account.

The final account budget is realized by selecting one item with the minimum value from the order budget, the day budget and the account balance of the customer account as the final budget. That is, when the current state of the customer account is a normal state, the minimum value among the order budget, the day-of-day budget, and the account balance of the customer account is used as the final budget.

Here, it should be explained that the order budget of the customer account refers to the sum of the budgets of all orders placed by the customer account, and the balance of the customer account and the daily budget of the day are set by the user and can be obtained through the database. The day-to-day budget of the customer account refers to the expected cost of all orders expected to be placed by the customer account in the day, and can be obtained by directly reading the expected cost from the database. The account balance refers to the current remaining charge of the customer account, which can also be obtained by directly reading from the database.

When the current state of the customer account is determined to be the accelerated release state, the final budget of the customer account can be obtained by taking the current time slice budget of the account as the final budget.

Meanwhile, the current time slice budget of the customer account can be obtained by the following steps: the current time slice budget (per time slice budget) (final budget/(number of hours allowed to be put 60) n) is calculated. Wherein n is the time value of the time slice and the unit is second. Such as: when the time slice takes 10 seconds, the calculation of the current time slice budget is as follows: (final budget/(number of deliverable hours 60) 10).

The number of hours to be released is obtained by calculating the remaining time of the day starting from the current time node. Wherein, when the calculation of the number of hours of putting can be carried out, the calculation is carried out 24 hours a day. For example, if the current time is 16 points, the number of hours that can be released is: 24-16-8 hours. Correspondingly, for the calculation of the budget of the current time slice, according to the formula: (final budget/(8 × 60)) × n is calculated.

After the final budget of each customer account is obtained, the historical cost of each customer account also needs to be obtained. Here, as will be understood by those skilled in the art, the acquired historical spending of the customer account refers to the fees paid out under the customer account before the current time. Wherein the historical spending comprises at least one of a historical total spending and a historical spending average. The historical total cost is the total cost of the customer account in the first N time slices, and the average value of the historical cost is the average value of the total cost of the customer account in the first N time slices. Assuming a time slice of 1 minute, N is N minutes. For example, the value of N may be: 60. that is, in one possible implementation, the historical expense is generally calculated by selecting a time period one hour before the current time as the historical time period, and the historical expense is calculated based on the historical time period.

The time slice refers to a preset time period, and the unit of the time slice can be in the order of minutes. In addition, the value of the time slice can be flexibly set according to the actual situation, such as: the value of each time slice can be set to 1 second, 10 seconds, 1 minute, 5 minutes, etc.

After the final budget of the customer account and the historical cost of the customer account are obtained, the customer account can be screened according to the obtained final budget and the historical cost. When the client account is screened, the corresponding account screening conditions can be selected according to the current state of the client account.

That is to say, in the method of the embodiment of the application, when screening the customer account, the corresponding account screening conditions may be selected according to different states of the customer account by setting the plurality of screening conditions to perform screening, so that screening conditions that are more matched with the current state of the customer account can be selected when screening the customer account, which effectively improves the accuracy of screening the customer account and prevents the customer account from being deleted by mistake, by more than once or not.

Specifically, the preset account screening conditions include: the final budget is greater than at least one of the historical total spending (i.e., the final budget is greater than the total spending for the first N time slices), and the current time-slice budget is greater than the historical spending average (i.e., the current time-slice budget is greater than the previous N time-slice spending average).

More specifically, when the current state of the customer account is a normal state, the account screening condition that the final budget is greater than the total historical cost may be called to screen the customer account. And when the current state of the client account is the accelerated release state, calling an account screening condition that the current time slice budget is larger than the historical spending average value to screen the client account.

After the customer account screening is completed in any of the above manners, the orders placed by each of the reserved valid customer accounts can be screened. That is, step S200 is executed to acquire information characteristics associated with placing each order by the valid customer account, and to filter each order according to the information characteristics associated with placing each order, and to take the reserved order as a valid order.

According to the foregoing, the information characteristic associated with the order placement may include at least one of a placement area, a placement time, a placement bid, and a placement material at the time of the order placement.

In a possible implementation manner, when the orders are screened, the data fingerprint of each order can be obtained by performing data fingerprint calculation on the information characteristics of each order. Then, comparing and counting the data fingerprints obtained by calculation, and filtering the order list when more than 2 data fingerprints exist, wherein the order list is processed as follows: the order list with the same data fingerprint is subjected to disorder processing, then the price sorting is carried out on the disorder order list, two orders with the highest price are selected as effective orders, and other orders are deleted as invalid orders.

The data fingerprints are calculated according to the information characteristics of the orders, the calculated data fingerprints are compared, when the orders with the same data fingerprints are compared, the orders are shown to be repeated for a user to increase the occupied resources, and therefore the orders with the same data fingerprints are sorted according to the budgets of the orders, the order with the same data fingerprint is selected as an effective order, and other orders are deleted as invalid orders.

When the data fingerprint is calculated according to the information characteristics of each order, the information characteristics specifically include: time, region, price, material size and material address, the calculation steps are as follows:

first, the required information features are obtained, specifically, a time character, a region character, a price character, a material size character, and a material address character. When the certain information characteristic does not exist in the order, the character of the corresponding information characteristic is defaulted to be a null character.

And then, arranging and connecting the acquired information characteristics according to a preset sequence to obtain a final character string. Specifically, the following are fixedly connected in sequence: time character + region character + price character + material size character + material address.

Then, the obtained final character string is subjected to binary conversion, and a data fingerprint binary value is obtained as SHA1 (final character string).

And finally, carrying out hexadecimal conversion based on the binary value obtained by conversion so as to obtain the hexadecimal value of the data fingerprint. Wherein, the obtained hexadecimal value is the data fingerprint data of the order.

Further, in the process of screening the orders placed by the valid customer account, after screening the valid orders, the method may further include: and acquiring the budget and the cost of each effective order, and calculating the final delivery budget of each effective order. Meanwhile, historical expense data of each valid order is obtained. Then, each valid order is screened again based on the budget, cost and historical cost data of each valid order, so that the finally reserved order is more accurate, and the situation that the user occupies the media flow is further prevented.

When the budget and the cost of each effective order are obtained and the final delivery budget of each effective order is calculated, the budget per time slice of each effective order can be calculated according to the budget and the cost of each effective order. Specifically, according to the foregoing, the calculation formula is: here, it will be understood by those skilled in the art that the cost of each active order refers to the actual purchase cost of each active order.

And after the budget per time slice of each effective order is obtained through calculation, determining the final release budget according to the obtained budget per time slice of the effective order. In a possible implementation manner, the smallest one of the budget per time slice of the customer account to which the valid order belongs and the budget per time slice of the valid order can be selected as the final delivery budget of the valid order.

Further, for the historical expense data of each valid order, the expense data of N time slices before the current time can be calculated as the historical expense data, and then the following steps are carried out: and the current time slice budget of the order is larger than the cost of the previous time slice and is also larger than the average value of the costs of the previous N time slices, and the effective order is filtered again. The reservation satisfying the above-mentioned screening condition is taken as the final valid order.

Therefore, after the orders are screened according to the associated information characteristics during order putting, the reserved orders are screened again by acquiring the budget and cost of screening the reserved orders, so that the finally reserved effective orders are more accurate, and the aim of further managing the effective orders is fulfilled.

In addition, in the method of the embodiment of the application, in order to prevent the situations of mis-posting and re-posting of useless advertisements caused by the fact that the client occupies the media traffic, the method further includes management control over the order in the advertisement posting process besides the measures of management over the client account and the order placed by the client account before the previous advertisement posting. That is, in step S300, each valid order is released to the advertisement delivery server, the number of times that each valid order can participate in delivery within a preset time slice is calculated while releasing, and delivery of each valid order is performed according to the calculated number of times that each valid order can participate in delivery.

In a possible implementation manner, the calculation of the number of times that a valid order can participate in the release within a preset time slice may be implemented in the following manner. That is, the number of participating impressions is calculated as (budget/price)/(number of servers per number of processes per exposure). The budget is estimated purchase cost of the effective order before the effective order is released, the price is actual purchase cost of the effective order when the effective order is released, the number of servers is the number of the orders released to the advertisement releasing servers, the number of processes is the number of programs started on one physical service, and the exposure rate is advertisement display number/advertisement releasing number.

Here, it should be noted that, as for the budget and the price, when the previous screening of each order under the valid customer account is performed, the budget and the price of the currently placed order can be obtained. Here, as will be understood by those skilled in the art, the price of the currently placed order refers to the actual purchase cost of the order. The budget of the currently placed order then refers to the pre-set purchase cost of the order.

Further, the number of servers, the number of processes, and the exposure rate may be implemented by obtaining historical data of an order while placing the order to a placing server for placing. If the currently released order is released for the first time and no history data exists, the maximum value of each parameter can be directly defaulted as the current history data. Default setting is as follows: the value of the exposure rate can be 10%, and the value of the number of servers can be: the number of processes may take the value 10.

After the number of times of putting participation in the current putting order time slice is calculated, the calculated number of times of putting participation can be stored in the memory, and the order is put according to the number of times of putting participation. In the releasing process, for the order, the number of times of releasing participation stored in the memory is reduced by one every time the order is released until the number of times of releasing participation is reduced to 0, and the order can not be released.

Correspondingly, based on any one of the advertisement putting methods for preventing the client from preempting the flow, the application also provides an advertisement putting device for preventing the client from preempting the flow. The working principle of the advertisement putting device for preventing the client from preempting the traffic is the same as or similar to that of the advertisement putting method for preventing the client from preempting the traffic, so repeated parts are not repeated.

Referring to fig. 2 and 3, an advertisement delivery apparatus 100 for preventing a client from seizing traffic includes an account screening module 110, an order screening module 120, and a delivery management module 130. The account screening module 110 is configured to obtain a final budget of each client account and a historical cost of each client account, and screen each client account according to the final budget and the historical total cost of each client account, and use a reserved client account as a valid client account. The order screening module 120 is configured to acquire information characteristics associated with placing of each order by each valid customer account, and screen each order according to the information characteristics associated with placing of each order, and reserve an order meeting order screening conditions as a valid order. And the placement management module 130 is configured to place each effective order to the advertisement placement server, calculate the number of times that each effective order can participate in placement within a preset time slice while placing the effective order below the effective order, and place each effective order according to the calculated number of times that each effective order can participate in placement.

Referring to fig. 2, the account screening module 110 and the order screening module 120, which respectively perform customer account screening and order screening before advertisement delivery, may be implemented by an advertisement control center in a system architecture implementing the method of the embodiment of the present application. The management control of order placement in the advertisement placement process can be realized in the advertisement placement service.

Still further, in accordance with another aspect of the present application, there is provided an advertisement delivery device 200 that prevents a customer from preempting traffic. Referring to fig. 4, an advertisement delivery device 200 for preventing a client from preempting traffic according to an embodiment of the present application includes a processor 210 and a memory 220 for storing instructions executable by the processor 210. Wherein the processor 210 is configured to execute the executable instructions to implement any of the foregoing advertisement delivery methods for preventing a customer from preempting traffic.

Here, it should be noted that the number of the processors 210 may be one or more. Meanwhile, in the advertisement delivery apparatus 200 for preventing a client from preempting traffic according to the embodiment of the present application, an input device 230 and an output device 240 may be further included. The processor 210, the memory 220, the input device 230, and the output device 240 may be connected via a bus, or may be connected via other methods, which is not limited in detail herein.

The memory 220, which is a computer-readable storage medium, may be used to store software programs, computer-executable programs, and various modules, such as: the application embodiment of the application prevents the client from preempting the flow of the corresponding program or module of the advertisement putting method. Processor 210 executes various functional applications and data processing of advertising device 200 that prevent a customer from preempting traffic by running software programs or modules stored in memory 220.

The input device 230 may be used to receive an input number or signal. Wherein the signal may be a key signal generated in connection with user settings and function control of the device/terminal/server. The output device 240 may include a display device such as a display screen.

Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terms used herein were chosen in order to best explain the principles of the embodiments, the practical application, or technical improvements to the techniques in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. An advertisement delivery method for preventing a client from preempting traffic, comprising:

2. The method according to claim 1, wherein when acquiring the final budget of the customer account, the method further comprises determining a current status of each customer account, and acquiring the final budget based on the current status of each customer account;

3. The method according to claim 2, wherein when the current state is a normal state and the final budget of the customer account is obtained, the method is implemented by selecting one of the total budget, the daily budget and the balance of each customer account with the smallest value as the final budget.

4. The method according to claim 2, wherein when the current status is an accelerated delivery status and the final budget of the customer account is obtained, the method is implemented by taking the current time slice budget of the account as the final budget.

5. The method of claim 1, wherein historical spending time of each customer account is obtained, and the historical spending time comprises at least one of historical total spending and historical spending average value;

6. The method according to any one of claims 1 to 5, wherein the screening of each of the customer account numbers according to the final budget and the historical spending of each of the customer account numbers further comprises: and selecting corresponding account screening conditions to screen the customer account according to the current state of the customer account.

7. The method according to claim 1, wherein when filtering each order according to the information characteristic associated with each order placement, the order filtering condition includes: and performing data fingerprint calculation on the information characteristics of each order, and selecting one order from the more than two orders with consistent data fingerprints as the effective order when the data fingerprints of the information characteristics of the more than two orders are consistent.

8. The method according to claim 1, wherein when calculating the number of times each valid order can participate in placement within a preset time slice, the method comprises the following steps: the number of times of participation in the release is calculated as (budget/price)/(number of servers and number of processes and exposure rate);

9. An advertisement delivery apparatus for preventing a client from seizing traffic, comprising: the system comprises an account screening module, an order screening module and a release management module;

10. An advertisement delivery apparatus for preventing a client from preempting traffic, comprising:

a processor;

a memory for storing processor-executable instructions;

wherein the processor is configured to carry out the executable instructions when implementing the method of any one of claims 1 to 8.