Method and apparatus for publishing media information and storage medium

Abstract

The present invention discloses a method, an apparatus and a storage medium for publishing media information in the field of big data technology in a cloud technology scenario. Specifically, it relates to technologies such as big data and content push. Among them, the method includes: when it is detected at the current moment that the target publishing position exists, obtaining the target historical publishing information of the media information of the target industry type, wherein the interval between the starting moment of the second time period and the current moment is less than or equal to the target duration; determining, according to the historical publishing information, the preemption compensation parameter corresponding to the media information of the target industry type; adjusting the value of the position preemption parameter of the first media information to the target parameter value according to the preemption compensation parameter; and when it is determined according to the target parameter value that the first media information preempts the target publishing position, publishing the first media information at the target publishing position. The present invention solves the technical problem of low accuracy in publishing media information.

Description

Technical Field

[0001] The present invention relates to the field of computers, and in particular, to a method and apparatus for publishing media information and a storage medium. Background Art

[0002] In recent years, with the intensification of commercial competition, merchants have increasingly attached importance to the placement of advertising bids. However, the number of users is fixed, and the available advertising spaces are also fixed. If there are many advertisers who want to place advertisements, they naturally have to compete through bidding to win advertising spaces for publishing advertisements.

[0003] In practical applications, some industries that require customers to visit the store offline, such as real estate, wedding dresses, and automobiles, have the problem of slow conversion data backhaul. Correspondingly, in the prior art, no relatively flexible bidding method has been formulated for industries with slow conversion data backhaul. As a result, it is impossible to accurately bid to preempt advertising positions for publishing advertisements (media information), thereby reducing the accuracy of advertising (media information) publishing. Therefore, there is a problem of low accuracy in publishing media information.

[0004] To address the above problems, no effective solution has been proposed yet. Summary of the Invention

[0005] Embodiments of the present invention provide a method and apparatus for publishing media information and a storage medium, so as to at least solve the technical problem of low accuracy in publishing media information.

[0006] According to one aspect of an embodiment of the present invention, there is provided a method for publishing media information, including: when detecting a target publishing position at the current moment, obtaining target historical publishing information of media information of a target industry type, wherein the target publishing position is set to allow the publishing of media information, and the target historical publishing information includes a first set of media information of the target industry type published within a first time period and a first set of actual feedback information obtained for the feedback of the first set of media information, and a second set of media information of the target industry type published within a second time period, the duration for obtaining corresponding actual feedback information after the media information of the target industry type is published is greater than a target duration, the first time period and the second time period are time periods before the current moment, and no actual feedback information for the second set of media information has been obtained at the current moment, and the interval between the start moment of the second time period and the current moment is less than or equal to the target duration; determining a preemption compensation parameter corresponding to the media information of the target industry type according to the historical publishing information, wherein the preemption compensation parameter is used to represent a second set of predicted feedback information, and the second set of predicted feedback information is the feedback information obtained by predicting the feedback information for the second set of media information published within the second time period; adjusting the value of the position preemption parameter of the first media information to a target parameter value according to the preemption compensation parameter, wherein the first media information is the media information of the target industry type, and the position preemption parameter is used to preempt the target publishing position; when it is determined that the first media information preempts the target publishing position according to the target parameter value, publishing the first media information at the target publishing position.

[0007] According to another aspect of the embodiments of the present invention, there is also provided a media information publishing device, including: an acquisition unit, configured to acquire target historical publishing information of media information of a target industry type when a target publishing position is detected at the current moment, where the target publishing position is set to allow publishing of media information, and the target historical publishing information includes a first set of media information of the target industry type that has been published within a first time period and a first set of actual feedback information obtained for the first set of media information, and a second set of media information of the target industry type that has been published within a second time period, the duration for obtaining corresponding actual feedback information after the media information of the target industry type is published is greater than a target duration, the first time period and the second time period are time periods before the current moment, and actual feedback information for the second set of media information has not been obtained at the current moment, and the interval between the start moment of the second time period and the current moment is less than or equal to the target duration; a determination unit, configured to determine a preemption compensation parameter corresponding to the media information of the target industry type according to the historical publishing information, where the preemption compensation parameter is used to represent a second set of predicted feedback information, and the second set of predicted feedback information is feedback information obtained by predicting feedback information for the second set of media information published within the second time period; an adjustment unit, configured to adjust the value of the position preemption parameter of the first media information to a target parameter value according to the preemption compensation parameter, where the first media information is media information of the target industry type, and the position preemption parameter is used to preempt the target publishing position; a publishing unit, configured to publish the first media information at the target publishing position when it is determined according to the target parameter value that the first media information preempts the target publishing position.

[0008] According to yet another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, in which a computer program is stored, and the computer program is configured to execute the above-mentioned media information publishing method when running.

[0009] According to yet another aspect of the embodiments of the present invention, there is also provided an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the above-mentioned media information publishing method through the computer program.

[0010] In an embodiment of the present invention, when a target release position is detected at the current moment, the target historical release information of media information of a target industry type is obtained, where the target release position is set to allow the release of media information, and the target historical release information includes a first set of media information of the target industry type that has been released within a first time period and a first set of actual feedback information obtained for the feedback of the first set of media information, and a second set of media information of the target industry type that has been released within a second time period. The duration for obtaining the corresponding actual feedback information after the release of the media information of the target industry type is greater than a target duration. The first time period and the second time period are time periods before the current moment, and no actual feedback information for the second set of media information has been obtained at the current moment. The interval between the start moment of the second time period and the current moment is less than or equal to the target duration; according to the historical release information, a preemption compensation parameter corresponding to the media information of the target industry type is determined, where the preemption compensation parameter is used to represent a second set of predicted feedback information, and the second set of predicted feedback information is the feedback information obtained by predicting the feedback information for the second set of media information released within the second time period; according to the preemption compensation parameter, the value of the position preemption parameter of the first media information is adjusted to a target parameter value, where the first media information is the media information of the target industry type, and the position preemption parameter is used to preempt the target release position; when it is determined that the first media information preempts the target release position according to the target parameter value, the first media information is released at the target release position. By using the historical data in the industry dimension, the preemption compensation parameter for predicting the feedback data that has not been recovered in the future is predicted, and the position preemption parameter for preempting the target release position is adjusted to a target parameter value that is more suitable for the media information to be released according to the preemption compensation parameter, and the media information that successfully preempts the target release position is determined according to the target parameter value, thereby achieving the purpose of ensuring that the media information is released at the target release position with a parameter value closer to the actual demand, thus realizing the technical effect of improving the accuracy of releasing media information at the target release position, and further solving the technical problem of low release accuracy of media information. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The illustrative embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0012] Figure 1 is a schematic diagram of an application environment of an optional method for releasing media information according to an embodiment of the present invention;

[0013] Figure 2 It is a schematic diagram of a flowchart of an optional method for publishing media information according to an embodiment of the present invention;

[0014] Figure 3 It is a schematic diagram of an optional method for publishing media information according to an embodiment of the present invention;

[0015] Figure 4 It is a schematic diagram of another optional method for publishing media information according to an embodiment of the present invention;

[0016] Figure 5 It is a schematic diagram of another optional method for publishing media information according to an embodiment of the present invention;

[0017] Figure 6 It is a schematic diagram of another optional method for publishing media information according to an embodiment of the present invention;

[0018] Figure 7 It is a schematic diagram of another optional method for publishing media information according to an embodiment of the present invention;

[0019] Figure 8 It is a schematic diagram of another optional method for publishing media information according to an embodiment of the present invention;

[0020] Figure 9 It is a schematic diagram of another optional method for publishing media information according to an embodiment of the present invention;

[0021] Figure 10 It is a schematic diagram of another optional method for publishing media information according to an embodiment of the present invention;

[0022] Figure 11 It is a schematic diagram of another optional method for publishing media information according to an embodiment of the present invention;

[0023] Figure 12 It is a schematic diagram of an optional device for publishing media information according to an embodiment of the present invention;

[0024] Figure 13 It is a schematic diagram of the structure of an optional electronic device according to an embodiment of the present invention. Detailed implementation manners

[0025] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0026] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence. It should be understood that such data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present invention described here can be implemented in an order other than those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0027] Cloud technology refers to a hosting technology that unifies a series of resources such as hardware, software, and networks within a wide area network or a local area network to achieve data computing, storage, processing, and sharing.

[0028] Cloud technology is a general term for network technology, information technology, integration technology, management platform technology, application technology, etc. based on the cloud computing business model. It can form a resource pool, be used on demand, and is flexible and convenient. Cloud computing technology will become an important support. The back-end services of technical network systems require a large amount of computing and storage resources, such as video websites, picture websites, and more portal websites. With the high development and application of the Internet industry, in the future, each item may have its own identification mark and needs to be transmitted to the back-end system for logical processing. Data at different levels will be processed separately, and various types of industry data require a powerful system back-end support, which can only be achieved through cloud computing.

[0029] Big data refers to a collection of data that cannot be captured, managed, and processed by conventional software tools within a certain time range. It is a massive, high-growth-rate, and diverse information asset that requires a new processing mode to have stronger decision-making power, insight discovery ability, and process optimization ability. With the advent of the cloud era, big data has also attracted more and more attention. Big data requires special technologies to effectively process a large amount of data that tolerates the elapsed time. Technologies applicable to big data include massively parallel processing databases, data mining, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems.

[0030] According to one aspect of the embodiments of the present invention, a method for publishing media information is provided. Optionally, as an alternative implementation manner, the above method for publishing media information can be but is not limited to being applied to, for example, Figure 1In the environment shown. Among them, it may but is not limited to include user device 102, network 110 and server 112. Among them, the user device 102 may but is not limited to include a display 108, a processor 106 and a memory 104. The display 108 may be used but is not limited to display the target publishing location 1022 (advertising space), and display the media information published at the target publishing location 1022 (such as the first media information 1024).

[0031] The specific process can be as follows:

[0032] Step S102, when the user device 102 detects the target publishing location 1022 at the current moment, obtain the target industry type where the first media information 1024 is located;

[0033] Steps S104 - S106, the user device 102 sends the target industry type to the server 112 through the network 110;

[0034] Steps S108 - S110, the server 112 looks up the target historical publishing information of the media information of the target industry type through the database 114, and processes the target historical publishing information through the processing engine 116 to determine the preemption compensation parameter corresponding to the target historical publishing information;

[0035] Steps S112 - S114, the server 112 sends the preemption compensation parameter to the user device 102 through the network 110;

[0036] Step S116, the processor 106 in the user device 102 adjusts the value of the position preemption parameter of the first media information 1024 from the original value to the target parameter value according to the preemption compensation parameter, and when the target parameter value is the largest in the value set, determines that the first media information 1024 successfully preempts the target publishing location 1022, and publishes the first media information 1024 at the target publishing location 1022, where the value set includes the values of the position preemption parameters of all media information currently preempting the target publishing location 1022 including the first media information 1024.

[0037] Optionally, the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The terminal can be a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, etc., but is not limited thereto. The terminal and the server can be directly or indirectly connected through wired or wireless communication methods, and this application does not make restrictions here.

[0038] For the convenience of understanding, the following explanations are given for some key terms and technical nouns:

[0039] Bid-based advertisement: An online advertisement that is independently placed and managed by users, ranked by the advertisement price, and paid according to the advertisement effect.

[0040] Achievement cost: |Advertisement actual cost - Advertisement bid| / Advertisement bid ≤ specified threshold α (α < 1).

[0041] Achievement rate (calculated by consumption): Advertisement consumption with achievement cost / All advertisement consumption * 100%.

[0042] Achievement rate (calculated by number of advertisements): Number of advertisements with achievement cost / All number of advertisements * 100%.

[0043] Wasted advertisement: An advertisement with consumption ≥ N conversion bids and number of conversions < M1 (N and M1 are positive integers).

[0044] Volume start: On the first day of exposure within the calculation period, the conversion return time is the calculation period + postponed t days, and the cumulative number of conversions reaches M2 (t is a non-negative integer, M2 is a positive integer).

[0045] Volume start rate (calculated by consumption): Consumption of volume start advertisements / All advertisement consumption * 100%.

[0046] Volume start rate (calculated by number of advertisements): Number of volume start advertisements / All number of advertisements * 100%.

[0047] Estimation deviation: |Estimated value - True value| / True value * 100%.

[0048] Consumption: Actual deduction of fees.

[0049] Number of conversions: Such as the number of activations, downloads, and effective leads.

[0050] Advertisement actual cost (Cpa): Consumption / Number of conversions.

[0051] Advertisement bid (Target cpa): The target of the target cpa user for placing advertisements on the advertisement platform.

[0052] Click-through rate: It can be, but is not limited to, the ratio of the number of times a certain content on a website page is clicked to the number of times it is displayed, and can be, but is not limited to, a reflection of the degree of attention of a certain content on the web page, and is used to measure the attractiveness of an advertisement.

[0053] Conversion rate: It can be, but is not limited to, the percentage or fraction of a reactant that is converted. In the advertising scenario, optionally, a merchant first sets a conversion goal. For example, if a visitor completes a target task (such as registration, placing an order, making a payment, etc.) on a website, then the number of visitors who complete the target task is the number of times the conversion goal is achieved. The conversion rate can be, but is not limited to, the ratio of the number of times the conversion goal is achieved to the total number of clicks on the passing information within a statistical period. The calculation formula can be, but is not limited to: Conversion rate = (Number of conversions / Number of clicks) * 100%. Optionally, the conversion rate can be, but is not limited to, the core of whether the website can ultimately make a profit. Improving the website's conversion rate is the result of the website's comprehensive operation strength.

[0054] Optionally, as an alternative implementation, as Figure 2 shown, the method for publishing media information includes:

[0055] S202, when it is detected at the current moment that the target publishing position is available, obtain the target historical publishing information of the media information of the target industry type. Among them, the target publishing position is set to allow the publishing of media information. The target historical publishing information includes the first set of media information of the target industry type that has been published within the first time period and the first set of actual feedback information obtained for the first set of media information, as well as the second set of media information of the target industry type that has been published within the second time period. The duration for obtaining the corresponding actual feedback information after the media information of the target industry type is published is greater than the target duration. The first time period and the second time period are time periods before the current moment, and no actual feedback information for the second set of media information has been obtained at the current moment. The interval between the start time of the second time period and the current moment is less than or equal to the target duration;

[0056] S204, according to the historical publishing information, determine the preemption compensation parameter corresponding to the media information of the target industry type. Among them, the preemption compensation parameter is used to represent the second set of predicted feedback information, and the second set of predicted feedback information is the feedback information obtained by predicting the feedback information for the second set of media information published within the second time period;

[0057] S206, according to the preemption compensation parameter, adjust the value of the position preemption parameter of the first media information to the target parameter value. Among them, the first media information is the media information of the target industry type, and the position preemption parameter is used to preempt the target publishing position;

[0058] S208, when it is determined that the first media information preempts the target publishing position according to the target parameter value, publish the first media information at the target publishing position.

[0059] Optionally, the method for publishing media information can be but is not limited to the scenario where an advertising system platform adjusts the advertising bid according to the characteristics of the advertiser's industry, and publishes the corresponding advertisement (media information) on the advertising space provided by the advertising system platform based on the adjusted advertising bid. Optionally, the target publishing location can be but is not limited to the area where media information is published in an online or offline form. Among them, the area location can be but is not limited to a fixed location, such as the website homepage, elevator entrance, etc. The area location can also be but is not limited to a location flexibly preset according to preset conditions. For example, when the user's web browsing duration reaches the preset duration, the above area location is displayed, etc. The target industry type can be but is not limited to industries that require offline transactions, resulting in slow transmission of conversion data inherently, such as the real estate industry, wedding dress industry, automotive industry, etc. The target historical publishing information can be but is not limited to including historical publishing information and actual feedback information. Among them, the historical publishing information can be but is not limited to the publishing data of media information, such as the number of publications, publishing location, publishing form, etc. The actual feedback information can be but is not limited to the feedback data after the media information is published, and most of them need to be statistically calculated, such as the number of clicks, click-through rate, number of conversions, conversion rate, consumption, etc. The predicted feedback information can be but is not limited to predicting the actual feedback information within the target time period, such as predicted number of clicks, predicted click-through rate, predicted number of conversions, predicted conversion rate, predicted consumption, etc. The preemption compensation parameter can be but is not limited to being used to adjust the value of the current position preemption parameter so that the value of the adjusted position preemption parameter is close to the actual value of the position preemption parameter.

[0060] It should be noted that when the target publishing location is detected at the current moment, the target historical publishing information of the media information of the target industry type is obtained. Among them, the target publishing location is set to allow the publication of media information. The target historical publishing information includes the first group of media information of the target industry type published within the first time period and the first group of actual feedback information obtained by giving feedback on the first group of media information, as well as the second group of media information of the target industry type published within the second time period. The duration for obtaining the corresponding actual feedback information after the media information of the target industry type is published is greater than the target duration. The first time period and the second time period are time periods before the current moment. At the current moment, the actual feedback information for the second group of media information has not been obtained. The interval between the start moment of the second time period and the current moment is less than or equal to the target duration. Among them, because there is only the publishing information within the second time period, as well as the publishing information and actual feedback information within the first time period in the target historical publishing information, and the actual feedback information within the second time period is missing due to the slow data turnaround, the value of the current position preemption parameter obtained based on the target historical publishing information with missing data naturally cannot guarantee its accuracy, and there is a problem of low accuracy in the value of the position preemption parameter.

[0061] Further, according to historical release information, determine a preemption compensation parameter corresponding to media information of the target industry type, where the preemption compensation parameter is used to represent a second set of predicted feedback information, and the second set of predicted feedback information is the feedback information obtained by predicting the feedback information of a second set of media information released within a second time period; and adjust the value of the position preemption parameter of the first media information to a target parameter value according to the preemption compensation parameter, where the first media information is media information of the target industry type, and the position preemption parameter is used to preempt a target release position; in the case where it is determined according to the target parameter value that the first media information preempts the target release position, release the first media information at the target release position. Among them, it is not directly determined whether the first media information can preempt the target release position according to the value of the current position preemption parameter, but the preemption compensation parameter is obtained according to the target historical release information with missing data, and the value of the current position preemption parameter is adjusted by using the preemption compensation parameter, so as to achieve the purpose of compensating for the missing feedback information in the target historical release information, thereby achieving the effect of improving the accuracy of the value of the position preemption parameter used to preempt the target release position. By using a more accurate value of the position preemption parameter, it can not only help the first media information preempt the target release position, but also help the target release position release the first media information with a more reasonable value of the position preemption parameter, thereby achieving the effect of improving the release rationality of the media information.

[0062] For further illustration by way of example, optionally, for example Figure 3 As shown, it includes a first time period 302, a second time period 304, and the current moment 308. Among them, the first time period 302 and the second time period 304 are used to represent the historical time periods after the release of the first media information 306; further, because the time interval between the first time period 302 and the current moment 308 is relatively long, relatively comprehensive historical data of the first media information 306 released in the first time period 302 can be obtained, including a first set of media information 3022 and a first set of actual feedback information 3024; and because the time interval between the second time period 304 and the current moment 308 is relatively short, only relatively incomplete historical data of the second media information 306 released in the second time period 304 can be obtained, including a second set of media information 3042, but not including a second set of actual feedback information 3044 (the dotted line indicates not obtained), where the first set of actual feedback information 3024 is obtained according to the first set of media information 3022. Similarly, the second set of actual feedback information 3044 also needs to be obtained according to the second set of media information 3042. Optionally, the first media information 306 can be but is not limited to representing a specific media information, and can also be but is not limited to representing a category of media information.

[0063] For further illustration by way of example, optionally, for example Figure 4As shown, it includes the current value 404 determined according to the historical release information 402 lacking the second set of actual feedback information 3044 (including the first set of media information 3022, the first set of actual feedback information 3024, the first set of media information 3022, and the first set of actual feedback information 3024), where the current value 404 is used to represent the current value of the position preemption parameter of the first media information 306; however, the current value 404 determined according to the historical release information 402 lacking the second set of actual feedback information 3044 should be less accurate than the value determined according to the release information without lacking the second set of actual feedback information 3044. In other words, there is a problem with the low accuracy of the current value 404.

[0064] For further illustration by example, optionally, for instance Figure 5 As shown, to solve the problem of the low accuracy of the current value 404, the preemption compensation parameter 502 is obtained according to the historical release information 402, and in combination with the preemption compensation parameter 502 and the current value 404, the latest value of the position preemption parameter representing the first media information 306 - the target parameter value 504 is obtained. Among them, since the preemption compensation parameter 502 is used to represent the second set of predicted feedback information 3044 that has not had time to turn back, the accuracy of the target parameter value 504 is not much different from the value determined according to the release information without lacking the second set of actual feedback information 3044. By using the occupancy compensation parameter 502 representing the second set of predicted feedback information 3044 that has not had time to turn back to adjust the current value 404, the problem of the low accuracy of the current value 404 is solved.

[0065] Through the embodiments provided in this application, when the target release position is detected at the current moment, the target historical release information of the media information of the target industry type is obtained, where the target release position is set to allow the release of media information, and the target historical release information includes the first set of media information of the target industry type that has been released within the first time period and the first set of actual feedback information obtained for the feedback of the first set of media information, and the second set of media information of the target industry type that has been released within the second time period. The duration for obtaining the corresponding actual feedback information after the release of the media information of the target industry type is greater than the target duration. The first time period and the second time period are time periods before the current moment. At the current moment, the actual feedback information for the second set of media information has not been obtained, and the interval between the start moment of the second time period and the current moment is less than or equal to the target duration; according to the historical release information, the preemption compensation parameter corresponding to the media information of the target industry type is determined, where the preemption compensation parameter is used to represent the second set of predicted feedback information, and the second set of predicted feedback information is the feedback information obtained by predicting the feedback information for the second set of media information released within the second time period; according to the preemption compensation parameter, the value of the position preemption parameter of the first media information is adjusted to the target parameter value, where the first media information is the media information of the target industry type, and the position preemption parameter is used to preempt the target release position; when it is determined that the first media information preempts the target release position according to the target parameter value, the first media information is released at the target release position. Through the historical data in the industry dimension, the preemption compensation parameter for predicting the feedback data that has not been retrieved in the future is predicted, and the position preemption parameter for preempting the target release position is adjusted to the target parameter value that is more suitable for the media information to be released according to the preemption compensation parameter, and the media information that successfully preempts the target release position is determined according to the target parameter value, thereby achieving the purpose of ensuring that the media information is released at the target release position with a parameter value closer to the actual demand, and thus achieving the technical effect of improving the accuracy of releasing media information at the target release position.

[0066] As an alternative solution, determining the preemption compensation parameter corresponding to the media information of the target industry type according to the target historical release information includes:

[0067] S1, determining the preemption compensation parameter corresponding to the media information of the target industry type according to the first set of media information, the first set of actual feedback information, and the second set of media information; or

[0068] S2, determining the preemption compensation parameter corresponding to the media information of the target industry type according to the first set of media information and the first set of actual feedback information.

[0069] It should be noted that, according to the first set of media information, the first set of actual feedback information, and the second set of media information, the preemption compensation parameters corresponding to the media information of the target industry type are determined; or the preemption compensation parameters corresponding to the media information of the target industry type are determined according to the first set of media information and the first set of actual feedback information. Optionally, a prediction model can be used to obtain the result output by the prediction model according to the input first set of media information, the first set of actual feedback information, and the second set of media information, or according to the input first set of media information and the first set of actual feedback information, where the output result is the preemption compensation parameter, and the prediction model is used to predict the second set of actual feedback information.

[0070] For further illustration by example, optionally, the first set of media information and the first set of actual feedback information are as shown in Table 1 below:

[0071]

[0072] Table 1

[0073] Among them, the first set of media information and the first set of actual feedback information include data such as industry type, ad position (target publishing location), number of exposures, number of clicks, number of conversions, average consumption, conversion rate, average estimated conversion rate, etc.;

[0074] And for example, the second set of media information is optionally as shown in Table 2 below:

[0075] Industry Advertising space Number of impressions 1 P1 1000 1 P2 800 2 P1 900

[0076] Table 2

[0077] Among them, the second set of media information includes data such as industry type, ad position (target publishing location), number of exposures, etc.

[0078] Through the embodiments provided by the present application, the preemption compensation parameters corresponding to the media information of the target industry type are determined according to the first set of media information, the first set of actual feedback information, and the second set of media information; or the preemption compensation parameters corresponding to the media information of the target industry type are determined according to the first set of media information and the first set of actual feedback information, achieving the purpose of flexibly using historical data to determine the preemption compensation parameters, and realizing the effect of improving the flexibility of determining the preemption compensation parameters.

[0079] As an optional solution, determining the preemption compensation parameters corresponding to the media information of the target industry type according to the first set of media information and the first set of actual feedback information includes:

[0080] S1. Determine a target start-up rate corresponding to the target industry type based on the first set of media information and the first set of actual feedback information, where the target start-up rate is used to represent the ratio of the number of media information in the first media information set to the number of media information in the second media information set. The second media information set includes different media information in the first set of media information, and the first media information set includes media information in the second media information set with a conversion rate greater than the first predetermined threshold. The conversion rates of the media information in the second media information set are determined based on the first set of actual feedback information.

[0081] S2. When the target start-up rate is less than the preset start-up threshold, determine a first preemption compensation parameter based on the target start-up rate, where the target start-up rate is negatively correlated with the first preemption compensation parameter.

[0082] It should be noted that a target start-up rate corresponding to the target industry type is determined based on the first set of media information and the first set of actual feedback information. The target start-up rate is used to represent the ratio of the number of media information in the first media information set to the number of media information in the second media information set. The second media information set includes different media information in the first set of media information, and the first media information set includes media information in the second media information set with a conversion rate greater than the first predetermined threshold. The conversion rates of the media information in the second media information set are determined based on the first set of actual feedback information. When the target start-up rate is less than the preset start-up threshold, a first preemption compensation parameter is determined based on the target start-up rate, where the target start-up rate is negatively correlated with the first preemption compensation parameter. Optionally, the target start-up rate can be used, but is not limited to, representing the ratio of the number of media information in the first media information set to the number of media information in the second media information set within a preset time period.

[0083] For further illustration by example, optionally Figure 6 As shown, there are three different media information in the second media information set 602, namely media information A, media information B, and media information C. Among them, when the number of conversions of media information A within the reserved time period is greater than the first predetermined threshold, media information A is put into the first media information set 604. Further, calculate the ratio of the number of media information (media information A) in the first media information set 604 to the number of media information (media information A, media information B, and media information C) in the second media information set to obtain the target start-up rate 606. Further, when the target start-up rate 606 is less than the preset start-up threshold, determine a first preemption compensation parameter 608 based on the target start-up rate 606, where the target start-up rate 606 is negatively correlated with the first preemption compensation parameter 608.

[0084] Through the embodiments provided in this application, according to the first set of media information and the first set of actual feedback information, a target start-up rate corresponding to the target industry type is determined, where the target start-up rate is used to represent the ratio of the number of media information in the first media information set to the number of media information in the second media information set. The second media information set includes different media information in the first set of media information, and the first media information set includes media information in the second media information set with a conversion rate greater than the first predetermined threshold. The conversion rate of the media information in the second media information set is determined according to the first set of actual feedback information; when the target start-up rate is less than the start-up preset threshold, a first preemption compensation parameter is determined according to the target start-up rate, where the target start-up rate is negatively correlated with the first preemption compensation parameter. By combining the start-up concept, the first preemption compensation parameter is determined, achieving the purpose of determining a preemption compensation parameter that is more in line with the requirements and realizing the effect of improving the rationality of determining the preemption compensation parameter.

[0085] As an alternative solution, determining the preemption compensation parameter corresponding to the media information of the target industry type according to the first set of media information and the first set of actual feedback information includes:

[0086] S1. When the target start-up rate is greater than the start-up preset threshold, according to the first set of media information and the first set of actual feedback information, a target achievement rate corresponding to the target industry type is determined, where the target achievement rate is used to represent the ratio of the number of media information in the third media information set to the number of media information in the second media information set. The third media information set includes media information in the second media information set with a consumption cost less than the second predetermined threshold, and the consumption cost of the media information in the second media information set is determined according to the first set of actual feedback information;

[0087] S2. When the target achievement rate is greater than or less than the achievement preset threshold, a second preemption compensation parameter is determined according to the target achievement rate, where the target achievement rate is negatively correlated with the second preemption compensation parameter.

[0088] It should be noted that when the target start-up rate is greater than the start-up preset threshold, according to the first set of media information and the first set of actual feedback information, a target achievement rate corresponding to the target industry type is determined, where the target achievement rate is used to represent the ratio of the number of media information in the third media information set to the number of media information in the second media information set. The third media information set includes media information in the second media information set with a consumption cost less than the second predetermined threshold, and the consumption cost of the media information in the second media information set is determined according to the first set of actual feedback information; when the target achievement rate is greater than or less than the achievement preset threshold, a second preemption compensation parameter is determined according to the target achievement rate, where the target achievement rate is negatively correlated with the second preemption compensation parameter.

[0089] For further illustration, optionally, for example Figure 7 As shown, there are three different media messages in the second media message set 602, namely media message A, media message B, and media message C. Among them, when the consumption cost of media message C is less than the second predetermined threshold, media message C is placed in the third media message set 702; further, calculate the ratio of the number of media messages (media message C) in the third media message set 702 to the number of media messages (media message A, media message B, and media message C) in the second media message set to obtain the target achievement rate 704; further, when the target volume increase rate 606 is greater than the preset volume increase threshold and the target achievement rate 704 is greater than or less than the preset achievement threshold, determine the second preemption compensation parameter 706, where the target achievement rate 704 is negatively correlated with the second preemption compensation parameter 706.

[0090] Through the embodiments provided by this application, when the target volume increase rate is greater than the preset volume increase threshold, according to the first group of media messages and the first group of actual feedback messages, determine the target achievement rate corresponding to the target industry type, where the target achievement rate is used to represent the ratio of the number of media messages in the third media message set to the number of media messages in the second media message set, and the third media message set includes the media messages in the second media message set with a consumption cost less than the second predetermined threshold, and the consumption costs of the media messages in the second media message set are determined according to the first group of actual feedback messages; when the target achievement rate is greater than or less than the preset achievement threshold, determine the second preemption compensation parameter according to the target achievement rate, where the target achievement rate is negatively correlated with the second preemption compensation parameter, and by combining the achievement concept, determine the second preemption compensation parameter, achieving the purpose of determining a preemption compensation parameter that is more in line with the requirements and realizing the effect of improving the rationality of determining the preemption compensation parameter.

[0091] As an optional solution, adjusting the value of the position preemption parameter of the first media message to the target parameter value according to the preemption compensation parameter includes:

[0092] Determine the target parameter value as the product of the current value of the position preemption parameter and the value of the preemption compensation parameter.

[0093] It should be noted that the target parameter value is determined as the product of the current value of the position preemption parameter and the value of the preemption compensation parameter.

[0094] For further illustration, optionally, for example, the current value is 0.01 yuan per click, and the value of the preemption compensation parameter is 1.2. Then, after calculation, the target parameter value should be (0.01 * 1.2) 0.012 yuan per click.

[0095] Through the embodiments provided in this application, the value of the target parameter is determined as the product of the current value of the position preemption parameter and the value of the preemption compensation parameter. Before the value of the position preemption parameter of the first media information is adjusted to the value of the target parameter according to the preemption compensation parameter, there is an inaccurate problem with the current value. Then, according to the preemption compensation parameter that can play a compensatory role, by calculating the product of the current value of the position preemption parameter and the value of the preemption compensation parameter, the purpose of obtaining a more accurate value of the target parameter is achieved, and the effect of improving the accuracy of the value of the target parameter is realized.

[0096] As an optional solution, adjusting the value of the position preemption parameter of the first media information to the value of the target parameter according to the preemption compensation parameter includes at least one of the following:

[0097] S1, when the ratio of the predicted click-through rate in the second set of prediction feedback information to the number of releases of the second set of media information within the second time period is greater than the first threshold, the value of the position preemption parameter is lowered to the first parameter value according to the preemption compensation parameter, where the value of the target parameter includes the first parameter value;

[0098] S2, when the ratio of the predicted conversion rate in the second set of prediction feedback information to the number of releases of the second set of media information within the second time period is greater than the second threshold, the value of the position preemption parameter is lowered to the second parameter value according to the preemption compensation parameter, where the value of the target parameter includes the second parameter value;

[0099] S3, when the ratio of the predicted consumption cost in the second set of prediction feedback information to the predicted conversion rate is greater than the third threshold, the value of the position preemption parameter is lowered to the third parameter value according to the preemption compensation parameter, where the value of the target parameter includes the third parameter value.

[0100] It should be noted that when the ratio of the predicted click-through rate in the second set of prediction feedback information to the number of releases of the second set of media information within the second time period is greater than the first threshold, the value of the position preemption parameter is lowered to the first parameter value according to the preemption compensation parameter, where the value of the target parameter includes the first parameter value; when the ratio of the predicted conversion rate in the second set of prediction feedback information to the number of releases of the second set of media information within the second time period is greater than the second threshold, the value of the position preemption parameter is lowered to the second parameter value according to the preemption compensation parameter, where the value of the target parameter includes the second parameter value; when the ratio of the predicted consumption cost in the second set of prediction feedback information to the predicted conversion rate is greater than the third threshold, the value of the position preemption parameter is lowered to the third parameter value according to the preemption compensation parameter, where the value of the target parameter includes the third parameter value.

[0101] For further illustration, optionally, based on the PID (Playback Control) algorithm, one or more types of data are selected from historical release information for combined calculation according to requirements of different dimensions, so as to obtain a price adjustment factor (parameter value) that better fits the required dimension, such as the number of clicks, the number of releases, the number of conversions, the consumption cost, etc. Optionally, the PID algorithm can be, but is not limited to, named after its three correction algorithms. The controlled variable is the result of adding the three algorithms (proportional, integral, and differential), which is its output, and its input is the error value (the result of subtracting the measured value from the set value) or a signal derived from the error value.

[0102] Further, optionally, different-dimensional price adjustment factor calculations are implemented based on the PID algorithm, such as Figure 8 As shown, it includes an advertising system 802 for counting, releasing, and recording various information, a PID calculation (formula) 804 for calculating based on historical release information to obtain relevant output results, a target deviation 806 for adjusting the calculation result according to dimension requirements, and a price adjustment factor 808 that matches the dimension requirements and is calculated. Among them, the PID algorithm is mainly used for proportional control in the above content. It can be, but is not limited to, considering the deviation between the proportion that a contract advertisement should be played at the current moment and the proportion that has been played in the scenario of contract advertisements to determine whether to accelerate or decelerate the advertisement playback. Proportional control can be, but is not limited to, considering the current error, and multiplying the error value by a positive constant Kp (representing the proportion).

[0103] Furthermore, determining the target deviation 806 and the price adjustment factor 808 according to the required dimension can be, but is not limited to:

[0104] Target deviation 806 = F(click-through rate, conversion rate, average estimated conversion rate, number of clicks, number of conversions, consumption...);

[0105] Price adjustment factor 808 = F(volume start deviation, consumption deviation, other deviations, etc.).

[0106] Through the embodiments provided in this application, when the ratio of the predicted click-through rate in the second set of predicted feedback information to the number of releases of the second set of media information within the second time period is greater than the first threshold, the value of the position preemption parameter is adjusted downward to the first parameter value according to the preemption compensation parameter, where the target parameter value includes the first parameter value; when the ratio of the predicted conversion rate in the second set of predicted feedback information to the number of releases of the second set of media information within the second time period is greater than the second threshold, the value of the position preemption parameter is adjusted downward to the second parameter value according to the preemption compensation parameter, where the target parameter value includes the second parameter value; when the ratio of the predicted consumption cost to the predicted conversion rate in the second set of predicted feedback information is greater than the third threshold, the value of the position preemption parameter is adjusted downward to the third parameter value according to the preemption compensation parameter, where the target parameter value includes the third parameter value. This achieves the purpose of obtaining a parameter value that better fits the requirements and realizes the effect of improving the flexibility of obtaining the parameter value.

[0107] As an alternative solution, adjusting the value of the position preemption parameter of the first media information to the target parameter value according to the preemption compensation parameter includes at least one of the following:

[0108] S1, when the ratio of the predicted click-through rate in the second set of predicted feedback information to the number of releases of the second set of media information within the second time period is less than the first threshold, the value of the position preemption parameter is adjusted upward to the first parameter value according to the preemption compensation parameter, where the target parameter value includes the first parameter value;

[0109] S2, when the ratio of the predicted conversion rate in the second set of predicted feedback information to the number of releases of the second set of media information within the second time period is less than the second threshold, the value of the position preemption parameter is adjusted upward to the second parameter value according to the preemption compensation parameter, where the target parameter value includes the second parameter value;

[0110] S3, when the ratio of the predicted consumption cost to the predicted conversion rate in the second set of predicted feedback information is less than the third threshold, the value of the position preemption parameter is adjusted upward to the third parameter value according to the preemption compensation parameter, where the target parameter value includes the third parameter value.

[0111] It should be noted that when the ratio of the predicted click-through rate in the second set of predicted feedback information to the number of releases of the second set of media information within the second time period is less than the first threshold, the value of the position preemption parameter is increased to the first parameter value according to the preemption compensation parameter, where the target parameter value includes the first parameter value; when the ratio of the predicted conversion rate in the second set of predicted feedback information to the number of releases of the second set of media information within the second time period is less than the second threshold, the value of the position preemption parameter is increased to the second parameter value according to the preemption compensation parameter, where the target parameter value includes the second parameter value; when the ratio of the predicted consumption cost in the second set of predicted feedback information to the predicted conversion rate is less than the third threshold, the value of the position preemption parameter is increased to the third parameter value according to the preemption compensation parameter, where the target parameter value includes the third parameter value.

[0112] Furthermore, optionally, the price adjustment factor calculation for different dimensions is implemented based on the PID algorithm, for example Figure 8 As shown, it includes an advertising system 802 for counting, releasing, and recording various information, a PID calculation (formula) 804 for calculating based on historical release information to obtain relevant output results, a target deviation 806 for adjusting the calculation result according to dimensional requirements, and a price adjustment factor 808 obtained by calculation and matching the dimensional requirements. Among them, the calculated price adjustment factor 808 can be, but is not limited to, an upward price adjustment trend, nor is it limited to a downward price adjustment trend.

[0113] Through the embodiments provided in this application, when the ratio of the predicted click-through rate in the second set of predicted feedback information to the number of releases of the second set of media information within the second time period is less than the first threshold, the value of the position preemption parameter is increased to the first parameter value according to the preemption compensation parameter, where the target parameter value includes the first parameter value; when the ratio of the predicted conversion rate in the second set of predicted feedback information to the number of releases of the second set of media information within the second time period is less than the second threshold, the value of the position preemption parameter is increased to the second parameter value according to the preemption compensation parameter, where the target parameter value includes the second parameter value; when the ratio of the predicted consumption cost in the second set of predicted feedback information to the predicted conversion rate is less than the third threshold, the value of the position preemption parameter is increased to the third parameter value according to the preemption compensation parameter, where the target parameter value includes the third parameter value, achieving the purpose of flexibly adjusting the parameter value and realizing the effect of improving the adjustment flexibility of the parameter value price adjustment.

[0114] As an optional solution, obtaining the target historical release information of the media information of the target industry type includes:

[0115] Obtain the first historical release information of the media information of the target industry type at the target release location, where the target historical release information includes the first historical release information, and the first historical release information includes the first set of media information of the target industry type that has been released at the target release location within the first time period and the first set of actual feedback information obtained, as well as the second set of media information of the target industry type that has been released at the target release location within the second time period.

[0116] It should be noted that the first historical release information of the media information of the target industry type at the target release location is obtained, where the target historical release information includes the first historical release information, and the first historical release information includes the first set of media information of the target industry type that has been released at the target release location within the first time period and the first set of actual feedback information obtained, as well as the second set of media information of the target industry type that has been released at the target release location within the second time period.

[0117] For further illustration, optionally, for example Figure 9 As shown, it includes the advertising space for representing the target release location 902, and the first historical release information 904 for representing all the historical release information (including media information and feedback information) of the target industry type released at the target release location 902 within the preset time. In other words, the first historical release information 904 is the historical release information of the target industry type released at the target release location 902.

[0118] Through the embodiments provided in this application, the first historical release information of the media information of the target industry type at the target release location is obtained, where the target historical release information includes the first historical release information, and the first historical release information includes the first set of media information of the target industry type that has been released at the target release location within the first time period and the first set of actual feedback information obtained, as well as the second set of media information of the target industry type that has been released at the target release location within the second time period. It defines the release location and industry type for obtaining the historical release information, achieving the purpose of obtaining more detailed historical release information and realizing the effect of improving the accuracy of the historical release information.

[0119] As an optional solution, obtaining the target historical release information of the media information of the target industry type includes:

[0120] Obtain the second historical release information of the media information of the target industry type on a set of release positions, where the target historical release information includes the second historical release information, and the second historical release information includes the first set of media information of the target industry type released on a set of release positions during the first time period and the first set of actual feedback information obtained, and the second set of media information of the target industry type released on a set of release positions during the second time period. A set of release positions includes the target release position, or a set of release positions is different from the target release position.

[0121] It should be noted that the second historical release information of the media information of the target industry type on a set of release positions is obtained, where the target historical release information includes the second historical release information, and the second historical release information includes the first set of media information of the target industry type released on a set of release positions during the first time period and the first set of actual feedback information obtained, and the second set of media information of the target industry type released on a set of release positions during the second time period. A set of release positions includes the target release position, or a set of release positions is different from the target release position.

[0122] For further illustration by way of example, optionally Figure 10 As shown, it includes the advertisement space A for representing the target release position 1002, and the set of release positions 1004 (including advertisement A, advertisement B, and advertisement C) for representing the set of release positions including the target release position 1002, and the second historical release information 1006 for representing all the historical release information (including media information and feedback information) of the target industry type released on the set of release positions 1004 within a preset time. In other words, the second historical release information 1006 is the historical release information of the target industry type released on the set of release positions 1004.

[0123] Through the embodiments provided in this application, the second historical release information of the media information of the target industry type on a set of release positions is obtained, where the target historical release information includes the second historical release information, and the second historical release information includes the first set of media information of the target industry type released on a set of release positions during the first time period and the first set of actual feedback information obtained, and the second set of media information of the target industry type released on a set of release positions during the second time period. A set of release positions includes the target release position, or a set of release positions is different from the target release position, achieving the purpose of being able to flexibly select whether to obtain the information released on the target release position or the information released on a set of release positions, and realizing the effect of improving the flexibility of obtaining historical release information.

[0124] As an optional solution, adjusting the value of the position preemption parameter of the first media information to the target parameter value according to the preemption compensation parameter includes:

[0125] Determine the value of the target parameter as:

[0126] Value of target parameter = Current value of position preemption parameter * Predicted click-through rate * Predicted conversion rate * Preemption compensation parameter;

[0127] Among them, the predicted click-through rate is the click-through rate of the first media information in the third time period determined according to the first set of actual feedback information, and the third time period is the time period after the current moment;

[0128] Among them, the predicted conversion rate is the conversion rate of the first media information in the third time period determined according to the first set of actual feedback information.

[0129] It should be noted that the value of the target parameter is determined as: Value of target parameter = Current value of position preemption parameter * Predicted click-through rate * Predicted conversion rate * Preemption compensation parameter. Among them, the predicted click-through rate is the click-through rate of the first media information in the third time period determined according to the first set of actual feedback information, and the third time period is the time period after the current moment; among them, the predicted conversion rate is the conversion rate of the first media information in the third time period determined according to the first set of actual feedback information.

[0130] For further illustration by example, optionally, for example, calculate the value of the target parameter based on the eCPM algorithm. In the case where there is no proposal to compensate for the predicted information that has not been retrieved in time through the preemption compensation parameter, the parameter value calculated through the eCPM algorithm is usually: Value of target parameter = Current value of position preemption parameter * Predicted click-through rate * Predicted conversion rate. Among them, both the predicted click-through rate and the predicted conversion rate are estimated and obtained based on the confirmed historical release data. Specifically, the estimation and acquisition can, but are not limited to, be carried out through an estimation model. Among them, the estimation model can, but is not limited to, use some conditions for adjusting parameters, such as the ad position ID, historical click-through rate, etc. as feature inputs to the estimation model to train and optimize the effect of the estimation model;

[0131] Furthermore, in the case where it is proposed to compensate for the predicted information that has not been retrieved in time through the preemption compensation parameter, when calculating the parameter value through the eCPM algorithm again: Value of target parameter = Current value of position preemption parameter * Predicted click-through rate * Predicted conversion rate * Preemption compensation parameter. The above calculation of the parameter value is equivalent to obtaining the predicted information that has not been retrieved in time and obtaining the accurate predicted click-through rate and accurate predicted conversion rate based on the historical release information without missing information, and then calculating the parameter value as: Value of target parameter = Current value of position preemption parameter * Accurate predicted click-through rate * Accurate predicted conversion rate.

[0132] Through the embodiments provided in this application, the value of the target parameter is determined as: the value of the target parameter = the current value of the position preemption parameter * the estimated click-through rate * the estimated conversion rate * the preemption compensation parameter, where the estimated click-through rate is the click-through rate of the first media information in the third time period determined according to the first set of actual feedback information, and the third time period is the time period after the current moment; among them, the estimated conversion rate is the conversion rate of the first media information in the third time period determined according to the first set of actual feedback information, achieving the purpose of obtaining a value of the target parameter close to the accurate value, and realizing the effect of improving the accuracy of obtaining the parameter value.

[0133] As an alternative solution, an application embodiment for implementing the above-mentioned media information publishing method is provided. Optionally, for example Figure 11 As shown, it includes an advertising system 1102 and the internal structure of the advertising system 1102. For example, an offline processing framework 1106 for processing logs 1104 to generate an offline vocabulary, a unified operation model 1110 for processing logs 1104 to generate estimated data 1116, a directional analysis module 1112 for processing logs 1104 and combining the output results of the unified operation model 1110 to generate analysis data 1114, a database 1118 for storing historical data, an index module 1120 for performing advertisement indexing, a retrieval module 1122 for performing advertisement retrieval, and in order to enable the online advertising system to effectively apply the price adjustment parameters in the above-mentioned media information publishing method, a hybrid module 1124 acting on a part of the hybrid sorting is added in the advertising system 1102. At the same time, because the dimensions of the price adjustment requirements can be different, there will be multiple vocabulary lists (vocabulary list 1, vocabulary list 2, vocabulary list 3, offline vocabulary list, etc.) in actual use, which need to be effectively merged into a unified vocabulary list file and then used by the advertising system 1102; further, the advertising system 1102 is based on the above internal structure to obtain an output result 1126, where the output result 1126 is used to represent the display result of the advertisement, such as displaying a target advertisement at a target advertisement position, etc.

[0134] It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the present invention is not limited by the described action sequence, because according to the present invention, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0135] According to another aspect of the embodiments of the present invention, there is also provided a media information publishing device for implementing the above-mentioned media information publishing method. As Figure 12 shown, the device includes:

[0136] An acquisition unit 1202, configured to, when the target release position is detected at the current moment, acquire the target historical release information of the media information of the target industry type, where the target release position is set to allow the release of media information, and the target historical release information includes a first set of media information of the target industry type that has been released within a first time period and a first set of actual feedback information obtained by feeding back the first set of media information, and a second set of media information of the target industry type that has been released within a second time period. The duration for obtaining the corresponding actual feedback information after the media information of the target industry type is released is greater than the target duration. The first time period and the second time period are time periods before the current moment, and the actual feedback information for the second set of media information has not been obtained at the current moment. The interval between the start moment of the second time period and the current moment is less than or equal to the target duration;

[0137] A determination unit 1204, configured to determine a preemption compensation parameter corresponding to the media information of the target industry type according to the historical release information, where the preemption compensation parameter is used to represent a second set of predicted feedback information, and the second set of predicted feedback information is the feedback information obtained by predicting the feedback information for the second set of media information released within the second time period;

[0138] An adjustment unit 1206, configured to adjust the value of the position preemption parameter of the first media information to the target parameter value according to the preemption compensation parameter, where the first media information is the media information of the target industry type, and the position preemption parameter is used to preempt the target release position;

[0139] A release unit 1208, configured to, when it is determined that the first media information preempts the target release position according to the target parameter value, release the first media information at the target release position.

[0140] Optionally, the media information publishing device can be used, but is not limited to, the scenario where the advertising system platform adjusts the advertising bid according to the characteristics of the advertiser's industry, and publishes the corresponding advertisement (media information) on the advertising space provided by the advertising system platform based on the adjusted advertising bid. Optionally, the target publishing location can be, but is not limited to, the area location where the media information is published in an online or offline form, where the area location can be, but is not limited to, a fixed location, such as the website homepage, elevator entrance, etc., and the area location can also be, but is not limited to, a location flexibly preset according to preset conditions, such as when the user's web browsing duration reaches the preset duration, the above area location is displayed, etc. The target industry type can be, but is not limited to, industries that require offline transactions, resulting in slow transmission of conversion data inherently, such as the real estate industry, wedding dress industry, automobile industry, etc. The target historical publishing information can be, but is not limited to, including historical publishing information and actual feedback information, where the historical publishing information can be, but is not limited to, the publishing data of the media information, such as the number of publications, publishing location, publishing form, etc., and the actual feedback information can be, but is not limited to, the feedback data after the media information is published, and most of them need to be statistically calculated, such as the number of clicks, click-through rate, number of conversions, conversion rate, consumption, etc. The predicted feedback information can be, but is not limited to, predicting the actual feedback information within the target time period, such as predicting the number of clicks, predicted click-through rate, predicted number of conversions, predicted conversion rate, predicted consumption, etc. The preemption compensation parameter can be, but is not limited to, used to adjust the value of the current position preemption parameter, so that the value of the adjusted position preemption parameter is close to the actual value of the position preemption parameter.

[0141] It should be noted that when the target publishing location is detected at the current moment, the target historical publishing information of the media information of the target industry type is obtained, where the target publishing location is set to allow the publication of media information, and the target historical publishing information includes the first group of media information of the target industry type published within the first time period and the first group of actual feedback information obtained for the feedback of the first group of media information, and the second group of media information of the target industry type published within the second time period. The duration for obtaining the corresponding actual feedback information after the media information of the target industry type is published is greater than the target duration. The first time period and the second time period are time periods before the current moment, and the actual feedback information for the second group of media information has not been obtained at the current moment. The interval between the start moment of the second time period and the current moment is less than or equal to the target duration; among them, because there is only the publishing information within the second time period, the publishing information and actual feedback information within the first time period in the target historical publishing information, and the actual feedback information within the second time period is missing due to the slow data turnaround, the value of the current position preemption parameter obtained based on the target historical publishing information with missing data naturally cannot guarantee its accuracy, and there is a problem of low accuracy of the value of the position preemption parameter.

[0142] Further, according to historical release information, determine a preemption compensation parameter corresponding to the media information of the target industry type, where the preemption compensation parameter is used to represent a second set of predicted feedback information, and the second set of predicted feedback information is the feedback information obtained by predicting the feedback information of a second set of media information released within a second time period; and adjust the value of the position preemption parameter of the first media information to a target parameter value according to the preemption compensation parameter, where the first media information is the media information of the target industry type, and the position preemption parameter is used to preempt a target release position; in the case where it is determined according to the target parameter value that the first media information preempts the target release position, the first media information is released at the target release position. Among them, it is not directly determined whether the first media information can preempt the target release position according to the value of the current position preemption parameter, but the preemption compensation parameter is obtained according to the target historical release information of the missing data, and the value of the current position preemption parameter is adjusted by using the preemption compensation parameter, so as to achieve the purpose of compensating for the missing feedback information in the target historical release information, thereby achieving the effect of improving the accuracy of the value of the position preemption parameter used to preempt the target release position. By using a more accurate value of the position preemption parameter, it can not only help the first media information preempt the target release position, but also help the target release position release the first media information with a more reasonable value of the position preemption parameter, thereby achieving the effect of improving the release rationality of the media information.

[0143] For specific embodiments, reference may be made to the examples shown in the above method for releasing media information, and details are not described herein again.

[0144] Through the embodiments provided in this application, in the embodiments of the present invention, when the target release position is detected at the current moment, the target historical release information of the media information of the target industry type is obtained, where the above target release position is set to allow the release of media information, and the above target historical release information includes the first set of media information of the above target industry type that has been released within the first time period and the first set of actual feedback information obtained for the above first set of media information, and the second set of media information of the above target industry type that has been released within the second time period. The duration for obtaining the corresponding actual feedback information after the release of the media information of the above target industry type is greater than the target duration. The above first time period and the above second time period are time periods before the above current moment, and the actual feedback information for the above second set of media information has not been obtained at the above current moment. The interval between the start moment of the above second time period and the above current moment is less than or equal to the above target duration; according to the above historical release information, the preemption compensation parameter corresponding to the media information of the above target industry type is determined, where the above preemption compensation parameter is used to represent the second set of predicted feedback information, and the above second set of predicted feedback information is the feedback information obtained by predicting the feedback information for the above second set of media information released within the above second time period; according to the above preemption compensation parameter, the value of the position preemption parameter of the first media information is adjusted to the target parameter value, where the above first media information is the media information of the above target industry type, and the above position preemption parameter is used to preempt the above target release position; when it is determined that the above first media information preempts the above target release position according to the above target parameter value, the above first media information is released at the above target release position. Through the historical data in the industry dimension, the preemption compensation parameter used to predict the feedback data that has not been recovered in the future is predicted, and the position preemption parameter used to preempt the above target release position is adjusted to the target parameter value that is more suitable for the media information to be released according to the preemption compensation parameter, and the media information that successfully preempts the target release position is determined according to the target parameter value, thereby achieving the purpose of ensuring that the media information is released at the target release position with a parameter value closer to the actual demand, and thus realizing the technical effect of improving the accuracy of releasing media information at the target release position.

[0145] As an optional solution, the determination unit 1204 includes:

[0146] The first determination module is configured to determine the preemption compensation parameter corresponding to the media information of the target industry type according to the first set of media information, the first set of actual feedback information, and the second set of media information; or

[0147] The second determination module is configured to determine the preemption compensation parameter corresponding to the media information of the target industry type according to the first set of media information and the first set of actual feedback information.

[0148] For specific embodiments, reference can be made to the examples shown in the above method for publishing media information, and these examples will not be elaborated here.

[0149] As an optional solution, the second determination module includes:

[0150] A first determination sub-module, configured to determine a target volume increase rate corresponding to the target industry type according to the first set of media information and the first set of actual feedback information, where the target volume increase rate is used to represent the ratio of the number of media information in the first media information set to the number of media information in the second media information set. The second media information set includes different media information in the first set of media information, the first media information set includes media information with a conversion rate greater than a first predetermined threshold in the second media information set, and the conversion rate of the media information in the second media information set is determined according to the first set of actual feedback information;

[0151] A second determination sub-module, configured to determine a first preemption compensation parameter according to the target volume increase rate when the target volume increase rate is less than the preset volume increase threshold, where the target volume increase rate is negatively correlated with the first preemption compensation parameter.

[0152] For specific embodiments, reference can be made to the examples shown in the above method for publishing media information, and these examples will not be elaborated here.

[0153] As an optional solution, the second determination module includes:

[0154] A third determination sub-module, configured to determine a target achievement rate corresponding to the target industry type according to the first set of media information and the first set of actual feedback information when the target volume increase rate is greater than the preset volume increase threshold, where the target achievement rate is used to represent the ratio of the number of media information in the third media information set to the number of media information in the second media information set. The third media information set includes media information with a consumption cost less than a second predetermined threshold in the second media information set, and the consumption cost of the media information in the second media information set is determined according to the first set of actual feedback information;

[0155] A fourth determination sub-module, configured to determine a second preemption compensation parameter according to the target achievement rate when the target achievement rate is greater than or less than the preset achievement threshold, where the target achievement rate is negatively correlated with the second preemption compensation parameter.

[0156] For specific embodiments, reference can be made to the examples shown in the above method for publishing media information, and these examples will not be elaborated here.

[0157] As an optional solution, the adjustment unit 1206 includes:

[0158] A calculation module, configured to determine the value of the target parameter as the product of the current value of the position preemption parameter and the value of the preemption compensation parameter.

[0159] For specific embodiments, reference may be made to the examples shown in the above-mentioned method for publishing media information. Such examples are not elaborated herein.

[0160] As an optional solution, the adjustment unit 1206 includes at least one of the following:

[0161] A first adjustment module, configured to, when the ratio of the predicted click count in the second set of prediction feedback information to the number of times the second set of media information is published within the second time period is greater than the first threshold, lower the value of the position preemption parameter to a first parameter value according to the preemption compensation parameter, where the value of the target parameter includes the first parameter value;

[0162] A second adjustment module, configured to, when the ratio of the predicted conversion count in the second set of prediction feedback information to the number of times the second set of media information is published within the second time period is greater than the second threshold, lower the value of the position preemption parameter to a second parameter value according to the preemption compensation parameter, where the value of the target parameter includes the second parameter value;

[0163] A third adjustment module, configured to, when the ratio of the predicted consumption cost in the second set of prediction feedback information to the predicted conversion count is greater than the third threshold, lower the value of the position preemption parameter to a third parameter value according to the preemption compensation parameter, where the value of the target parameter includes the third parameter value.

[0164] For specific embodiments, reference may be made to the examples shown in the above-mentioned method for publishing media information. Such examples are not elaborated herein.

[0165] As an optional solution, the adjustment unit 1206 includes at least one of the following:

[0166] A fourth adjustment module, configured to, when the ratio of the predicted click count in the second set of prediction feedback information to the number of times the second set of media information is published within the second time period is less than the first threshold, increase the value of the position preemption parameter to a first parameter value according to the preemption compensation parameter, where the value of the target parameter includes the first parameter value;

[0167] A fifth adjustment module, configured to, when the ratio of the predicted conversion count in the second set of prediction feedback information to the number of times the second set of media information is published within the second time period is less than the second threshold, increase the value of the position preemption parameter to a second parameter value according to the preemption compensation parameter, where the value of the target parameter includes the second parameter value;

[0168] The sixth adjustment module is used to, when the ratio of the predicted consumption cost to the predicted conversion times in the second set of predicted feedback information is less than the third threshold, increase the value of the position preemption parameter to the third parameter value according to the preemption compensation parameter, where the target parameter value includes the third parameter value.

[0169] For specific embodiments, reference can be made to the examples shown in the above method for publishing media information, and details are not described herein again.

[0170] As an alternative solution, the acquisition unit 1202 includes:

[0171] The first acquisition module is used to acquire the first historical publication information of the media information of the target industry type at the target publication position, where the target historical publication information includes the first historical publication information, and the first historical publication information includes the first set of media information of the target industry type published at the target publication position within the first time period and the acquired first set of actual feedback information, and the second set of media information of the target industry type published at the target publication position within the second time period.

[0172] For specific embodiments, reference can be made to the examples shown in the above method for publishing media information, and details are not described herein again.

[0173] As an alternative solution, the acquisition unit 1202 includes:

[0174] The second acquisition module is used to acquire the second historical publication information of the media information of the target industry type at a set of publication positions, where the target historical publication information includes the second historical publication information, and the second historical publication information includes the first set of media information of the target industry type published at the set of publication positions within the first time period and the acquired first set of actual feedback information, and the second set of media information of the target industry type published at the set of publication positions within the second time period, and the set of publication positions includes the target publication position, or the set of publication positions is different from the target publication position.

[0175] For specific embodiments, reference can be made to the examples shown in the above method for publishing media information, and details are not described herein again.

[0176] As an alternative solution, the adjustment unit 1206 includes:

[0177] The third determination module is used to determine the target parameter value as:

[0178] Target parameter value = current value of the position preemption parameter * estimated click-through rate * estimated conversion rate * preemption compensation parameter;

[0179] Among them, the predicted click-through rate is the click-through rate of the first media information in the third time period determined according to the first set of actual feedback information, and the third time period is the time period after the current moment;

[0180] Among them, the predicted conversion rate is the conversion rate of the first media information in the third time period determined according to the first set of actual feedback information.

[0181] For specific embodiments, reference can be made to the examples shown in the above-mentioned method for publishing media information, and these examples will not be elaborated here.

[0182] According to another aspect of the embodiments of the present invention, there is also provided an electronic device for implementing the above-mentioned method for publishing media information. As Figure 13 shown, the electronic device includes a memory 1302 and a processor 1304. A computer program is stored in the memory 1302, and the processor 1304 is configured to execute the steps in any of the above method embodiments through the computer program.

[0183] Optionally, in this embodiment, the above-mentioned electronic device may be at least one network device among multiple network devices in a computer network.

[0184] Optionally, in this embodiment, the above-mentioned processor may be configured to execute the following steps through the computer program:

[0185] S1. When the target release position is detected at the current moment, obtain the target historical release information of the media information of the target industry type. Among them, the target release position is set to allow the release of media information. The target historical release information includes the first set of media information of the target industry type that has been released in the first time period and the first set of actual feedback information obtained for the first set of media information, as well as the second set of media information of the target industry type that has been released in the second time period. The duration for obtaining the corresponding actual feedback information after the media information of the target industry type is released is greater than the target duration. The first time period and the second time period are time periods before the current moment. The actual feedback information for the second set of media information has not been obtained at the current moment, and the interval between the start moment of the second time period and the current moment is less than or equal to the target duration;

[0186] S2. According to the historical release information, determine the preemption compensation parameter corresponding to the media information of the target industry type. The preemption compensation parameter is used to represent the second set of predicted feedback information, and the second set of predicted feedback information is the feedback information obtained by predicting the feedback information for the second set of media information released in the second time period;

[0187] S3. Adjust the value of the position preemption parameter of the first media information to the target parameter value according to the preemption compensation parameter, where the first media information is media information of the target industry type, and the position preemption parameter is used to preempt the target publishing position.

[0188] S4. When it is determined that the first media information preempts the target publishing position according to the target parameter value, publish the first media information at the target publishing position.

[0189] Optionally, those of ordinary skill in the art can understand that Figure 13 The structure shown is only for illustration. The electronic device can also be a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, and terminal devices such as Mobile Internet Devices (MID), PAD, etc. Figure 13 It does not limit the structure of the above-mentioned electronic device. For example, the electronic device may further include more or fewer components (such as a network interface, etc.) than those shown in Figure 13 or have a different configuration from that shown in Figure 13 Shown.

[0190] Among them, the memory 1302 can be used to store software programs and modules, such as the program instructions / modules corresponding to the media information publishing method and device in the embodiments of the present invention. The processor 1304 executes various functional applications and data processing by running the software programs and modules stored in the memory 1302, that is, implements the above-mentioned media information publishing method. The memory 1302 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, a flash memory, or other non-volatile solid-state memories. In some instances, the memory 1302 may further include a memory remotely set relative to the processor 1304, and these remote memories can be connected to the terminal through a network. Examples of the above network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof. Among them, the memory 1302 can specifically but not limitedly be used to store information such as target historical publishing information, target industry type, and target parameter value. As an example, as Figure 13 Shown, the above-mentioned memory 1302 may but not limitedly include the acquisition unit 1202, the determination unit 1204, the adjustment unit 1206, and the publishing unit 1208 in the above-mentioned media information publishing device. In addition, it may also include but not limited to other module units in the above-mentioned media information publishing device, which will not be elaborated in this example.

[0191] Optionally, the above-mentioned transmission device 1306 is used to receive or send data via a network. Specific examples of the above-mentioned network may include a wired network and a wireless network. In one example, the transmission device 1306 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices and routers through a network cable, so as to communicate with the Internet or a local area network. In one example, the transmission device 1306 is a Radio Frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0192] In addition, the above-mentioned electronic device further includes: a display 1308, which is used to display information such as the above-mentioned target historical release information, target industry type, and target parameter value; and a connection bus 1310, which is used to connect each module component in the above-mentioned electronic device.

[0193] In other embodiments, the above-mentioned terminal device or server may be a node in a distributed system. Among them, the distributed system may be a blockchain system, and the blockchain system may be a distributed system formed by connecting the multiple nodes through network communication. Among them, the nodes can form a Peer To Peer (P2P) network, and any form of computing device, such as electronic devices like servers and terminals, can become a node in the blockchain system by joining the P2P network.

[0194] According to one aspect of the present application, there is provided a computer program product or a computer program. The computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the method for publishing media information provided in various optional implementation manners, wherein the computer program is set to execute the steps in any one of the above method embodiments when running.

[0195] Optionally, in this embodiment, the above-mentioned computer-readable storage medium may be set to store a computer program for executing the following steps:

[0196] S1. When it is detected at the current moment that the target publishing position is reached, obtain the target historical publishing information of the media information of the target industry type, where the target publishing position is set to allow the publishing of media information, and the target historical publishing information includes the first set of media information of the target industry type that has been published within the first time period and the first set of actual feedback information obtained for the first set of media information, and the second set of media information of the target industry type that has been published within the second time period. The duration for obtaining the corresponding actual feedback information after the media information of the target industry type is published is greater than the target duration. The first time period and the second time period are time periods before the current moment, and the actual feedback information for the second set of media information has not been obtained at the current moment. The interval between the start moment of the second time period and the current moment is less than or equal to the target duration;

[0197] S2. According to the historical publishing information, determine the preemption compensation parameter corresponding to the media information of the target industry type, where the preemption compensation parameter is used to represent the second set of predicted feedback information, and the second set of predicted feedback information is the feedback information obtained by predicting the feedback information for the second set of media information published within the second time period;

[0198] S3. According to the preemption compensation parameter, adjust the value of the position preemption parameter of the first media information to the target parameter value, where the first media information is the media information of the target industry type, and the position preemption parameter is used to preempt the target publishing position;

[0199] S4. When it is determined that the first media information preempts the target publishing position according to the target parameter value, publish the first media information at the target publishing position.

[0200] Optionally, in this embodiment, those of ordinary skill in the art can understand that all or part of the steps in the above various methods of the embodiment can be completed by instructing the relevant hardware of the terminal device through a program, and the program can be stored in a computer-readable storage medium. The storage medium may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disc, etc.

[0201] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages and disadvantages of the embodiments.

[0202] If the integrated unit in the above embodiments is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in the above computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing one or more computer devices (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in various embodiments of the present invention.

[0203] In the above embodiments of the present invention, the descriptions of each embodiment have their own focuses. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0204] In the several embodiments provided by the present application, it should be understood that the disclosed client can be implemented in other ways. Among them, the device embodiments described above are only illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces. The indirect couplings or communication connections of units or modules can be in electrical or other forms.

[0205] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0206] In addition, the functional units in various embodiments of the present invention can be integrated in a processing unit, or each unit exists physically alone, or two or more units are integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0207] The above is only the preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A method for publishing media information, characterized in that, Including: When the target release position is detected at the current moment, obtaining the target historical release information of the media information of the target industry type, where the target release position is set to allow the release of media information, and the target historical release information includes a first set of media information of the target industry type that has been released within a first time period and a first set of actual feedback information obtained for the first set of media information, and a second set of media information of the target industry type that has been released within a second time period. The duration for obtaining the corresponding actual feedback information after the media information of the target industry type is released is greater than the target duration. The first time period and the second time period are time periods before the current moment, and no actual feedback information for the second set of media information has been obtained at the current moment. The interval between the start moment of the second time period and the current moment is less than or equal to the target duration; According to the target historical release information, determining a preemption compensation parameter corresponding to the media information of the target industry type, where the preemption compensation parameter is used to represent a second set of predicted feedback information, and the second set of predicted feedback information is the feedback information obtained by predicting the feedback information for the second set of media information released within the second time period; According to the preemption compensation parameter, adjusting the value of the position preemption parameter of the first media information to the target parameter value, where the first media information is the media information of the target industry type, and the position preemption parameter is used to preempt the target release position; When it is determined that the first media information preempts the target release position according to the target parameter value, releasing the first media information at the target release position; The adjusting the value of the position preemption parameter of the first media information to the target parameter value according to the preemption compensation parameter includes at least one of the following: When the ratio of the predicted click-through rate in the second set of predicted feedback information to the number of releases of the second set of media information within the second time period is greater than a first threshold, according to the preemption compensation parameter, reducing the value of the position preemption parameter to a first parameter value, where the target parameter value includes the first parameter value; When the ratio of the predicted conversion rate in the second set of predicted feedback information to the number of releases of the second set of media information within the second time period is greater than a second threshold, according to the preemption compensation parameter, reducing the value of the position preemption parameter to a second parameter value, where the target parameter value includes the second parameter value; When the ratio of the predicted cost consumption in the second set of predicted feedback information to the predicted conversion rate is greater than a third threshold, according to the preemption compensation parameter, reducing the value of the position preemption parameter to a third parameter value, where the target parameter value includes the third parameter value.

2. The method according to claim 1, wherein The determining a preemption compensation parameter corresponding to the media information of the target industry type according to the target historical release information includes: Determine the preemption compensation parameter corresponding to the media information of the target industry type according to the first group of media information, the first group of actual feedback information, and the second group of media information; or Determine the preemption compensation parameter corresponding to the media information of the target industry type according to the first group of media information and the first group of actual feedback information.

3. The method according to claim 2, wherein The determining the preemption compensation parameter corresponding to the media information of the target industry type according to the first group of media information and the first group of actual feedback information includes: According to the first group of media information and the first group of actual feedback information, determine a target volume increase rate corresponding to the target industry type, where the target volume increase rate is used to represent the ratio of the number of media information in the first media information set to the number of media information in the second media information set. The second media information set includes different media information in the first group of media information, and the first media information set includes media information in the second media information set with a conversion rate greater than a first predetermined threshold. The conversion rate of the media information in the second media information set is determined according to the first group of actual feedback information; When the target volume increase rate is less than the volume increase preset threshold, determine a first preemption compensation parameter according to the target volume increase rate, where the target volume increase rate is negatively correlated with the first preemption compensation parameter.

4. The method according to claim 3, wherein The determining the preemption compensation parameter corresponding to the media information of the target industry type according to the first group of media information and the first group of actual feedback information includes: When the target volume increase rate is greater than the volume increase preset threshold, according to the first group of media information and the first group of actual feedback information, determine a target achievement rate corresponding to the target industry type, where the target achievement rate is used to represent the ratio of the number of media information in the third media information set to the number of media information in the second media information set. The third media information set includes media information in the second media information set with a consumption cost less than a second predetermined threshold. The consumption cost of the media information in the second media information set is determined according to the first group of actual feedback information; When the target achievement rate is greater than or less than the achievement preset threshold, determine a second preemption compensation parameter according to the target achievement rate, where the target achievement rate is negatively correlated with the second preemption compensation parameter.

5. The method according to claim 1, characterized in that, The adjusting the value of the position preemption parameter of the first media information to the target parameter value according to the preemption compensation parameter includes: Determine the target parameter value as the product of the current value of the position preemption parameter and the value of the preemption compensation parameter.

6. The method according to claim 1, wherein The adjusting the value of the position preemption parameter of the first media information to the target parameter value according to the preemption compensation parameter includes at least one of the following: When the ratio of the predicted number of clicks in the second set of predicted feedback information to the number of releases of the second set of media information in the second time period is less than a first threshold, the value of the position preemption parameter is increased to a first parameter value according to the preemption compensation parameter, where the target parameter value includes the first parameter value; When the ratio of the predicted number of conversions in the second set of predicted feedback information to the number of releases of the second set of media information in the second time period is less than a second threshold, the value of the position preemption parameter is increased to a second parameter value according to the preemption compensation parameter, where the target parameter value includes the second parameter value; When the ratio of the predicted consumption cost in the second set of predicted feedback information to the predicted number of conversions is less than a third threshold, the value of the position preemption parameter is increased to a third parameter value according to the preemption compensation parameter, where the target parameter value includes the third parameter value.

7. The method according to any one of claims 1 to 6, characterized in that, The obtaining of the target historical release information of the media information of the target industry type includes: Obtaining first historical release information of the media information of the target industry type at the target release position, where the target historical release information includes the first historical release information, and the first historical release information includes the first set of media information of the target industry type that has been released at the target release position in the first time period and the obtained first set of actual feedback information, and the second set of media information of the target industry type that has been released at the target release position in the second time period.

8. The method according to any one of claims 1 to 6, characterized in that, The obtaining of the target historical release information of the media information of the target industry type includes: Obtaining second historical release information of the media information of the target industry type at a set of release positions, where the target historical release information includes the second historical release information, and the second historical release information includes the first set of media information of the target industry type that has been released at the set of release positions in the first time period and the obtained first set of actual feedback information, and the second set of media information of the target industry type that has been released at the set of release positions in the second time period, and the set of release positions includes the target release position, or the set of release positions is different from the target release position.

9. The method according to any one of claims 1 to 6, characterized in that The adjusting of the value of the position preemption parameter of the first media information to the target parameter value according to the preemption compensation parameter includes: Determining the target parameter value as: The target parameter value = the current value of the position preemption parameter * the estimated click-through rate * the estimated conversion rate * the preemption compensation parameter; where the estimated click-through rate is the click-through rate of the first media information in the third time period determined according to the first set of actual feedback information, and the third time period is the time period after the current moment; where the estimated conversion rate is the conversion rate of the first media information in the third time period determined according to the first set of actual feedback information.

10. A device for publishing media information, characterized in that including: An acquisition unit, configured to acquire target historical release information of media information of a target industry type when a target release position is detected at the current moment, where the target release position is set to allow the release of media information, and the target historical release information includes a first set of media information of the target industry type that has been released within a first time period and a first set of actual feedback information obtained by feedback on the first set of media information, and a second set of media information of the target industry type that has been released within a second time period. The duration for obtaining corresponding actual feedback information after the media information of the target industry type is released is greater than a target duration. The first time period and the second time period are time periods before the current moment, and actual feedback information for the second set of media information has not been obtained at the current moment. The interval between the start moment of the second time period and the current moment is less than or equal to the target duration; A determination unit, configured to determine a preemption compensation parameter corresponding to the media information of the target industry type according to the target historical release information, where the preemption compensation parameter is used to represent a second set of predicted feedback information, and the second set of predicted feedback information is feedback information obtained by predicting feedback information on the second set of media information released within the second time period; An adjustment unit, configured to adjust the value of the position preemption parameter of the first media information to a target parameter value according to the preemption compensation parameter, where the first media information is the media information of the target industry type, and the position preemption parameter is used to preempt the target release position; A release unit, configured to release the first media information at the target release position when it is determined according to the target parameter value that the first media information preempts the target release position; The adjustment unit includes at least one of the following: A first adjustment module, configured to, when the ratio of the predicted click times in the second set of predicted feedback information to the release times of the second set of media information within the second time period is greater than a first threshold, lower the value of the position preemption parameter to a first parameter value according to the preemption compensation parameter, where the target parameter value includes the first parameter value; A second adjustment module, configured to, when the ratio of the predicted conversion times in the second set of predicted feedback information to the release times of the second set of media information within the second time period is greater than a second threshold, lower the value of the position preemption parameter to a second parameter value according to the preemption compensation parameter, where the target parameter value includes the second parameter value; A third adjustment module, configured to, when the ratio of the predicted consumption cost in the second set of predicted feedback information to the predicted conversion times is greater than a third threshold, lower the value of the position preemption parameter to a third parameter value according to the preemption compensation parameter, where the target parameter value includes the third parameter value.

11. The device according to claim 10, characterized in that, The determination unit includes: The first determination module is configured to determine the preemption compensation parameter corresponding to the media information of the target industry type according to the first group of media information, the first group of actual feedback information, and the second group of media information; or The second determination module is configured to determine the preemption compensation parameter corresponding to the media information of the target industry type according to the first group of media information and the first group of actual feedback information.

12. The device according to claim 11, characterized in that, The second determination module includes: The first determination sub-module is configured to determine a target volume increase rate corresponding to the target industry type according to the first group of media information and the first group of actual feedback information, where the target volume increase rate is used to represent the ratio of the number of media information in the first media information set to the number of media information in the second media information set, the second media information set includes different media information in the first group of media information, the first media information set includes media information in the second media information set with a conversion rate greater than a first predetermined threshold, and the conversion rate of the media information in the second media information set is determined according to the first group of actual feedback information; The second determination sub-module is configured to determine a first preemption compensation parameter according to the target volume increase rate when the target volume increase rate is less than a preset volume increase threshold, where the target volume increase rate is negatively correlated with the first preemption compensation parameter.

13. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, where the program, when running, executes the method described in any one of claims 1 to 9 above.

14. An electronic device, comprising a memory and a processor, characterized in that, A computer program is stored in the memory, and the processor is configured to execute the method described in any one of claims 1 to 9 through the computer program.

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