Promotion information delivery link determination method and related equipment

Abstract

The invention provides a promotion information delivery link determination method. The method comprises the following steps: respectively determining predicted conversion rates of a target user on a plurality of candidate delivery links for target promotion information by using a conversion rate prediction model; selecting a target delivery link from a plurality of candidate delivery links based on the predicted conversion rate of the target user on the plurality of candidate delivery links for the target promotion information; and releasing the target promotion information to the target user through the target release link. The invention further provides a promotion information delivery link determination device, a storage medium and a program product.

Description

Technical Field

[0001] The present disclosure relates to the field of computer technology, and in particular to a method for determining a promotion information delivery link and related equipment. Background Art

[0002] Through early data calculations, it was found that different users usually have different preferences for the delivery links of promotional information. Therefore, it is usually impossible to maximize the running volume of promotional information by only delivering promotional information through a single delivery link. At present, how to increase the running volume of promotional information has become an important issue in the delivery of promotional information. Summary of the invention

[0003] In view of this, the embodiments of the present disclosure provide a method for determining a promotional information delivery link and related equipment, which can determine the delivery link of promotional information based on the predicted conversion rate of users for different promotional information delivery links obtained through prediction, thereby improving the conversion rate of promotional information, improving the delivery effect of promotional information, and reducing the delivery cost of promotional information.

[0004] In an embodiment of the present disclosure, the above-mentioned promotion information delivery link determination method may include: using a conversion rate prediction model to predict the predicted conversion rate of the target user for the target promotion information on multiple candidate delivery links; selecting a target delivery link from multiple candidate delivery links based on the predicted conversion rate of the target user for the target promotion information on multiple candidate delivery links; and delivering the target promotion information to the target user through the target delivery link.

[0005] In an embodiment of the present disclosure, selecting a target delivery link from multiple candidate delivery links based on the predicted conversion rate of the target user for the target promotion information on the multiple candidate delivery links includes: selecting the candidate delivery link with the highest predicted conversion rate as the target delivery link.

[0006] In an embodiment of the present disclosure, delivering target promotion information to target users through a target delivery link includes: packaging the target promotion information in a style according to the target delivery link; and sending the style-packaged target promotion information to the mobile terminal of the target user, and the mobile terminal of the target user displays the style-packaged target promotion information.

[0007] In an embodiment of the present disclosure, the above-mentioned promotion information delivery link determination method may further include: in response to determining that the target user has converted the target promotion information delivered on the target delivery link, generating positive samples based on the target user and the target delivery link; updating the training data set of the conversion rate prediction model based on the generated positive samples; and optimizing the conversion rate prediction model based on the updated training data set.

[0008] In an embodiment of the present disclosure, the above-mentioned promotion information delivery link determination method may further include: in response to determining that the target user has not converted the target promotion information delivered on the target delivery link, generating negative samples based on the target user and the target delivery link; updating the training data set of the conversion rate prediction model based on the generated negative samples; and optimizing the conversion rate prediction model based on the updated training data set.

[0009] Corresponding to the above-mentioned promotion information delivery method, an embodiment of the present disclosure further provides a promotion information delivery link determination device, including:

[0010] A conversion rate prediction module, used to use a conversion rate prediction model to respectively determine the predicted conversion rates of target users for target promotion information on multiple candidate delivery links;

[0011] a target delivery link selection module, configured to select a target delivery link from a plurality of candidate delivery links based on a predicted conversion rate of the target user for the target promotion information on the plurality of candidate delivery links; and

[0012] The delivery module is used to deliver target promotion information to target users through the target delivery link.

[0013] In an embodiment of the present disclosure, the above-mentioned promotion information delivery link determination device may further include:

[0014] A conversion attribution module is used to generate a positive sample based on the target user and the target delivery link in response to determining that the target user has converted the target promotion information delivered on the target delivery link; or to generate a negative sample based on the target user and the target delivery link in response to determining that the target user has not converted the target promotion information delivered on the target delivery link.

[0015] In an embodiment of the present disclosure, the above-mentioned promotion information delivery link determination device may further include:

[0016] A data set updating module, used to update the training data set of the conversion rate prediction model based on the generated positive samples or negative samples; and

[0017] The model optimization module is used to optimize the conversion rate prediction model based on the updated training data set.

[0018] In addition, an embodiment of the present disclosure further provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned promotion information delivery link determination method when executing the program.

[0019] An embodiment of the present disclosure further provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the above-mentioned promotion information delivery link determination method.

[0020] An embodiment of the present disclosure further provides a computer program product, including computer program instructions, which, when executed on a computer, enable the computer to execute the above-mentioned promotion information delivery link determination method.

[0021] It can be seen that the above-mentioned promotion information delivery link determination method and related equipment can determine the user's predicted conversion rate of the promotion information delivered on different promotion information delivery links, and select the target delivery link based on the predicted conversion rate, thereby increasing the user's conversion rate after browsing the promotion information, thereby improving the delivery effect of the promotion information and reducing the delivery cost of the promotion information. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the present disclosure or related technologies, the drawings required for use in the embodiments or related technical descriptions are briefly introduced below. Obviously, the drawings described below are only embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0023] Figure 1 The implementation process of the method for determining a promotion information delivery link described in an embodiment of the present disclosure is shown.

[0024] Figure 2 The internal structure of the promotion information delivery link determination device described in the embodiment of the present disclosure is shown.

[0025] Figure 3 A more specific schematic diagram of the hardware structure of an electronic device described in an embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0026] In order to make the objectives, technical solutions and advantages of the present disclosure more clearly understood, the present disclosure is further described in detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0027] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of the present disclosure should be understood by people with ordinary skills in the field to which the present disclosure belongs. The "first", "second" and similar words used in the embodiments of the present disclosure do not indicate any order, quantity or importance, but are only used to distinguish different components. "Including" or "comprising" and similar words mean that the elements or objects appearing before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0028] It is understandable that before using the technical solutions of each embodiment of the present disclosure, the type, scope of use, usage scenarios, etc. of the personal information involved will be informed to the user in an appropriate manner, and the user's authorization will be obtained.

[0029] For example, in response to receiving an active request from a user, a prompt message is sent to the user to clearly remind the user that the operation requested to be performed will require obtaining and using the user's personal information. Thus, the user can independently choose whether to provide personal information to software or hardware such as an electronic device, application, server, or storage medium that performs the operation of the technical solution of the present disclosure according to the prompt message.

[0030] As an optional but non-limiting implementation, in response to receiving the user's active request, the prompt information may be sent to the user in the form of a pop-up window, in which the prompt information may be presented in text form. In addition, the pop-up window may also carry a selection control for the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0031] It is understandable that the above notification and the process of obtaining user authorization are merely illustrative and do not constitute a limitation on the implementation of the present disclosure. Other methods that meet relevant laws and regulations may also be applied to the implementation of the present disclosure.

[0032] As mentioned above, different users usually have different preferences for the delivery links of promotional information. Therefore, it is usually impossible to maximize the running volume of promotional information by only delivering promotional information through a single delivery link. If the same promotional information is delivered through multiple delivery links at the same time, although the running volume of the promotional information can be increased, it will also greatly increase the delivery cost of the promotional information.

[0033] In order to solve the above problems, the embodiments of the present disclosure provide a method for determining a promotional information delivery link, which can determine the delivery link of promotional information based on the user's preference for different promotional information delivery links, thereby improving the conversion rate of promotional information, greatly improving the delivery effect of promotional information, and also reducing the delivery cost of promotional information.

[0034] Figure 1 The implementation process of the method for determining the promotion information delivery link described in some embodiments of the present disclosure is shown. Figure 1 As shown, the method for determining a promotion information delivery link described in the embodiment of the present disclosure may include the following steps.

[0035] In step 110, the predicted conversion rates of target users for target promotion information on multiple candidate delivery links are determined using a conversion rate prediction model.

[0036] In step 120, a target delivery link is selected from a plurality of candidate delivery links based on the predicted conversion rate of the target user for the target promotion information on the plurality of candidate delivery links.

[0037] In step 130, the target promotion information is delivered to the target user through the target delivery link.

[0038] Each step in the above-mentioned promotion information delivery link determination method will be described in detail below with reference to specific examples.

[0039] It can be understood that on the promotion information delivery platform, the promotion information can usually be delivered and reach users through multiple channels or methods. In the embodiment of the present disclosure, the multiple candidate delivery links described in the above step 110 can include any multiple delivery links of promotion information that can be supported by the promotion information delivery platform. For example, for a certain video promotion information, a "view details" button can be inserted on the page of the video promotion information. After the user clicks the button, the page will jump to the pre-set landing page form. The landing page form usually includes more detailed graphic information related to the promotion information and a form inviting users to leave their own information, etc., so that users can leave their own information after deeply understanding the detailed information related to the promotion information, thereby realizing the conversion of the promotion information. Generally, the delivery link of the above promotion information can be called a landing page method. Alternatively, for the same video promotion information, a "consult now" button can also be inserted on the page of the video promotion information. After the user clicks the button, the page will jump to the pre-set private message dialogue page of the customer service staff related to the promotion information. The user can learn the detailed information related to the above promotion information through a private message dialogue with the customer service staff. The customer service staff can also invite the user to leave their own information through a private message dialogue, thereby realizing the conversion of the promotion information. Generally, the delivery link of the above promotional information can be called a private message method. Alternatively, for the same video promotion information, a "telephone contact" button can also be inserted on the page of the video promotion information. After the user clicks the button, the page will jump to the interface of calling the pre-set customer service personnel related to the promotion information. The user can learn detailed information related to the above promotional information by talking to the customer service personnel. The customer service personnel can also invite the user to leave their own information through the call, so as to realize the conversion of the promotional information. Generally, the delivery link of the above promotional information can be called a telephone method. As mentioned above, different users usually have different delivery link preferences. For example, some users prefer to communicate directly with the customer service personnel. Therefore, for such users, if the promotion information is delivered by private message or telephone, a higher conversion rate will usually be obtained; while other users prefer to actively view the detailed information of the promotion information rather than communicate directly with the customer service personnel. Therefore, for such users, if the promotion information is delivered by landing page, a higher conversion rate will usually be obtained.

[0040] Based on the above research, in step 110 of the method for determining the promotion information delivery link described in the embodiment of the present disclosure, the predicted conversion rates of the target user for the target promotion information on multiple candidate delivery links can be predicted separately using a pre-trained conversion rate prediction model based on the user information of the target user who is about to browse the target promotion information.

[0041] Specifically, in the embodiment of the present disclosure, the above-mentioned conversion rate prediction model is pre-trained and can predict the conversion rate of the corresponding user for the same promotion information delivered on multiple candidate delivery links based on the input user information. The input of the above-mentioned conversion rate prediction model is the user information of the target user, for example, the operation data of the target user for the promotion information received on multiple different promotion information delivery links in a period of time in history, etc. Further, the output of the above-mentioned conversion rate prediction model is the predicted value of the conversion rate corresponding to each candidate delivery link when the target user delivers the same promotion information on multiple candidate delivery links, referred to as the predicted conversion rate. The above-mentioned conversion rate specifically refers to the probability of the target user converting the promotion information delivered on a certain candidate delivery link. In a specific example, the above-mentioned conversion rate can specifically be the probability of the target user leaving his own information for the promotion information delivered on a certain delivery link, that is, the retention rate. It can be understood that the above-mentioned conversion rate can also be measured by other indicators, and the embodiment of the present disclosure does not limit this. Generally, the conversion rate of the target user for the same promotion information delivered on multiple candidate delivery links output by the above-mentioned conversion rate prediction model reflects the target user's preference for the delivery link of the promotion information. Specifically, for promotional information delivered on a candidate delivery link with a higher predicted conversion rate, the target user is more likely to leave their own information, that is, it is easier to complete the conversion. In the embodiment of the present disclosure, the above-mentioned conversion rate prediction model can be obtained through training based on a training data set including a large amount of user information. The above-mentioned user information may include: the user's operation data on the promotional information received on multiple different promotional information delivery links within a period of time in history, etc.

[0042] After the above step 110 is carried out and the conversion rate prediction model that has been pre-trained is used to predict the predicted conversion rates of the target users for the target promotion information on multiple candidate delivery links, in step 120, a target delivery link can be selected from the multiple candidate delivery links based on the predicted conversion rates of the target users for the target promotion information on multiple candidate delivery links.

[0043] As mentioned above, the promotion information delivered on the candidate delivery link with the higher predicted conversion rate is easier for the target user to complete the conversion. Therefore, in the above step 120, the candidate delivery link with the highest predicted conversion rate can be selected as the above target delivery link. In the embodiment of the present disclosure, the above target delivery link refers to the actual delivery link used to deliver the above target promotion information to the above target user.

[0044] In the above step 130, the above target promotion information will be delivered to the above target user through the determined target delivery link. Specifically, in the embodiment of the present disclosure, the above delivery process will include: packaging the target promotion information in a style according to the determined target delivery link; and sending the style-packaged target promotion information to the mobile terminal of the target user, and the mobile terminal of the target user will display the style-packaged target promotion information.

[0045] Specifically, in an embodiment of the present disclosure, the process of the above-mentioned style packaging may include: generating link anchors and jump links based on the target delivery link, and adding the generated link anchors and jump links to the video material corresponding to the target promotion information. Specifically, taking the target delivery link as a private message as an example, a link anchor for the private message method (such as a "consult now" button) and a jump link to the private message conversation page of the customer service staff can be generated first, and the above-mentioned generated link anchors and jump links can be replaced on the video material corresponding to the target promotion information. Taking the target delivery link as a landing page as an example, a link anchor for the landing page method (such as a "view details" button) and a jump link to the landing page form page can be generated first, and the above-mentioned generated link anchors and jump links can be replaced on the video material corresponding to the target promotion information. Taking the target delivery link as a telephone method as an example, you can first generate a link anchor for the telephone method (such as a "telephone contact" button) and a jump link to the phone interface of the customer service personnel related to the promotional information, and then replace the above-generated link anchor and jump link on the video material corresponding to the target promotional information.

[0046] In an embodiment of the present disclosure, in order to be able to deliver the above-mentioned target promotion information to the above-mentioned target users through a determined target delivery link, the promotion information material provided by the promotion information provider needs to be able to support various candidate delivery links, so that link anchors and jump links can be generated based on the target delivery link during the above-mentioned style packaging process. For example, assuming that the candidate delivery links include: private message method and landing page method, then in addition to the video material of the promotion information, the promotion information material provided by the promotion information provider should also include the landing page form or its access link required by the landing page method, so that after the user selects the landing page method, the page can be jumped to the landing page form page. In addition, the promotion information material provided by the promotion information provider should also include the identification of the customer service personnel required by the private message method, so that after the user selects the private message method, a private message communication page from the target user to the customer service personnel can be established.

[0047] In addition, in order to distinguish it from other single-link promotion information delivery methods, in the embodiment of the present disclosure, an "automatic promotion information delivery" option can be set for the promotion information provider on the promotion information delivery project setting page to enable dynamic determination of the promotion information delivery link. The promotion information provider can start the promotion information delivery platform to execute the above by selecting the above "automatic promotion information delivery" option. Figure 1 The promotion information delivery link determination method shown in the figure can realize the multi-link automatic delivery of the above-mentioned promotion information.

[0048] It can be seen that the above-mentioned promotion information delivery link determination method can determine the predicted conversion rate of users for promotion information delivered on different promotion information delivery links, and select the delivery link with the highest predicted conversion rate as the target delivery link, thereby increasing the conversion rate of users after browsing the promotion information, thereby improving the delivery effect of the promotion information, and reducing the delivery cost of the promotion information.

[0049] In an embodiment of the present disclosure, the above-mentioned promotion information delivery link determination method may further include:

[0050] In response to determining that the target user has converted the target promotion information delivered on the target delivery link, generating a positive sample based on the target user and the target delivery link;

[0051] Update the training data set of the conversion rate prediction model based on the generated positive samples; and

[0052] The above conversion rate prediction model is optimized based on the updated training data set.

[0053] In the embodiments of the present disclosure, the above conversion may specifically include: leaving user information, etc. For example, leaving personal information on a landing page form, or leaving personal information on a private message page with a customer service staff or during a call, etc.

[0054] Furthermore, for the case where the target user does not convert the target promotion information delivered on the target delivery link, for example, does not leave his / her own information on the landing page form, or does not leave his / her own information on the private message page with the customer service staff or during the call, etc., negative samples can also be generated based on the target user and the target delivery link. Next, the training data set of the conversion rate prediction model can also be updated based on the generated negative samples, and the conversion rate prediction model can be further optimized based on the updated training data set.

[0055] By generating positive samples or negative samples in the training data set based on the operation results of the target users for the target promotion information delivered on the target delivery link and further optimizing the conversion rate prediction model, the conversion rate prediction model can be continuously optimized based on the actual conversion situation of the same promotion information delivered to different target users on different target delivery links, thereby continuously improving the prediction accuracy of the conversion rate prediction model, achieving the goal of continuously increasing the conversion rate of users after browsing the promotion information, improving the delivery effect of the promotion information, and reducing the delivery cost of the promotion information.

[0056] Based on the above-mentioned promotion information delivery link determination method, an embodiment of the present disclosure further provides a promotion information delivery link determination device. Figure 2 The internal structure of the promotion information delivery link determination device described in the embodiment of the present disclosure is shown. Figure 2 As shown, the above-mentioned promotion information delivery link determination device may include the following modules.

[0057] The conversion rate prediction module 210 is used to use the conversion rate prediction model to respectively determine the predicted conversion rates of target users for target promotion information on multiple candidate delivery links.

[0058] The target delivery link selection module 220 is used to select a target delivery link from multiple candidate delivery links based on the predicted conversion rate of the target user for the target promotion information on the multiple candidate delivery links.

[0059] The delivery module 230 is used to deliver target promotion information to target users through a target delivery link.

[0060] In an embodiment of the present disclosure, the above-mentioned promotion information delivery link determination device may further include: a conversion attribution module for generating a positive sample based on the target user and the target delivery link in response to determining that the target user has converted the target promotion information delivered on the target delivery link; or, generating a negative sample based on the target user and the target delivery link in response to determining that the target user has not converted the target promotion information delivered on the target delivery link.

[0061] Furthermore, the above-mentioned promotion information delivery link determination device may also include: a data set updating module, used to update the training data set of the conversion rate prediction model based on the generated positive samples or negative samples; and a model optimization module, used to optimize the conversion rate prediction model based on the updated training data set.

[0062] It should be noted that the specific implementation methods of the various modules included in the promotion information delivery link determination device described in the embodiments of the present disclosure can refer to the aforementioned embodiments, and will not be repeated here. Furthermore, the promotion information delivery link determination device described in the aforementioned embodiments has the same beneficial effects as the corresponding method embodiments, and will not be repeated here.

[0063] Based on the same inventive concept, corresponding to any of the above-mentioned embodiments and methods, the present disclosure also provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for determining the promotion information delivery link described in any of the above embodiments is implemented.

[0064] Figure 3 A more specific hardware structure diagram of an electronic device provided in this embodiment is shown, and the device may include: a processor 2010, a memory 2020, an input / output interface 2030, a communication interface 2040, and a bus 2050. The processor 2010, the memory 2020, the input / output interface 2030, and the communication interface 2040 are connected to each other in communication within the device through the bus 2050.

[0065] The processor 2010 can be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this specification.

[0066] The memory 2020 can be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 2020 can store an operating system and other application programs. When the technical solutions provided in the embodiments of this specification are implemented by software or firmware, the relevant program codes are stored in the memory 2020 and are called and executed by the processor 2010.

[0067] The input / output interface 2030 is used to connect input / output devices to realize information input and output. The input / output devices can be configured in the device as components, or can be externally connected to the device to provide corresponding functions. The input devices can include microphones, various sensors, etc., and the output devices can include displays, speakers, vibrators, indicator lights, etc.

[0068] The communication interface 2040 is used to connect a communication module (not shown) to realize communication interaction between the device and other devices. The communication module can realize communication through a wired mode (such as USB, network cable, etc.) or a wireless mode (such as mobile network, WIFI, Bluetooth, etc.).

[0069] The bus 2050 includes a path that transmits information between the various components of the device (eg, the processor 2010, the memory 2020, the input / output interface 2030, and the communication interface 2040).

[0070] It should be noted that, although the above device only shows the processor 2010, the memory 2020, the input / output interface 2030, the communication interface 2040, and the bus 2050, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, it can be understood by those skilled in the art that the above device may also only include the components necessary for implementing the embodiments of the present specification, and does not necessarily include all the components shown in the figure.

[0071] The electronic device of the above embodiment is used to implement the corresponding promotion information delivery link determination method in any of the above embodiments, and has the beneficial effects of the corresponding method embodiment, which will not be described in detail here.

[0072] Based on the same inventive concept, corresponding to any of the above-mentioned embodiment methods, the present disclosure also provides a non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the promotion information delivery link determination method as described in any of the above embodiments.

[0073] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device.

[0074] The computer instructions stored in the storage medium of the above embodiment are used to enable the computer to execute the promotion information delivery link determination method as described in any of the above embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be repeated here.

[0075] Those skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present disclosure (including the claims) is limited to these examples. Based on the concept of the present disclosure, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the embodiments of the present disclosure as described above, which are not provided in detail for the sake of simplicity.

[0076] In addition, to simplify the description and discussion, and in order not to make the embodiments of the present disclosure difficult to understand, the known power / ground connections to the integrated circuit (IC) chips and other components may or may not be shown in the provided figures. In addition, the device can be shown in the form of a block diagram to avoid making the embodiments of the present disclosure difficult to understand, and this also takes into account the fact that the details of the implementation of these block diagram devices are highly dependent on the platform on which the embodiments of the present disclosure will be implemented (that is, these details should be fully within the scope of understanding of those skilled in the art). Where specific details (e.g., circuits) are set forth to describe exemplary embodiments of the present disclosure, it is apparent to those skilled in the art that the embodiments of the present disclosure can be implemented without these specific details or with changes in these specific details. Therefore, these descriptions should be considered illustrative rather than restrictive.

[0077] Although the present disclosure has been described in conjunction with specific embodiments of the present disclosure, many replacements, modifications and variations of these embodiments will be apparent to those skilled in the art from the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.

[0078] The embodiments of the present disclosure are intended to cover all such substitutions, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A method for determining a promotion information delivery link, comprising: Determine the predicted conversion rates of the target users for the target promotion information on multiple candidate delivery links respectively by using the conversion rate prediction model; Selecting a target delivery link from the multiple candidate delivery links based on the predicted conversion rate of the target user for the target promotion information on the multiple candidate delivery links; as well as Target promotion information is delivered to the target user through the target delivery link.

2. The method according to claim 1, wherein: Selecting a target delivery link from the multiple candidate delivery links based on the predicted conversion rates of the target users for the target promotion information on the multiple candidate delivery links includes: selecting the candidate delivery link with the highest predicted conversion rate as the target delivery link.

3. The method according to claim 1, wherein: Delivering target promotion information to the target user through the target delivery link includes: Packaging the target promotion information in a certain style according to the target delivery link; and The target promotion information after the style packaging is sent to the mobile terminal of the target user, and the mobile terminal of the target user displays the target promotion information after the style packaging.

4. The method according to claim 1, further comprising: In response to determining that the target user has converted the target promotion information delivered on the target delivery link, generating a positive sample based on the target user and the target delivery link; Updating the training data set of the conversion rate prediction model based on the generated positive samples; as well as The conversion rate prediction model is optimized based on the updated training data set.

5. The method according to claim 1, further comprising: In response to determining that the target user has not converted the target promotion information delivered on the target delivery link, generating a negative sample based on the target user and the target delivery link; Updating the training data set of the conversion rate prediction model based on the generated negative samples; as well as The conversion rate prediction model is optimized based on the updated training data set.

6. A promotion information delivery link determination device, comprising: A conversion rate prediction module, used to use a conversion rate prediction model to respectively determine the predicted conversion rates of target users for target promotion information on multiple candidate delivery links; A target delivery link selection module, configured to select a target delivery link from a plurality of candidate delivery links based on a predicted conversion rate of the target user for the target promotion information on the plurality of candidate delivery links; as well as The delivery module is used to deliver target promotion information to target users through the target delivery link.

7. The apparatus according to claim 6, further comprising: a conversion attribution module, configured to generate a positive sample based on the target user and the target delivery link in response to determining that the target user has converted the target promotion information delivered on the target delivery link; Alternatively, in response to determining that the target user has not converted the target promotion information delivered on the target delivery link, a negative sample is generated based on the target user and the target delivery link.

8. The apparatus according to claim 7, further comprising: A data set updating module, used to update the training data set of the conversion rate prediction model based on the generated positive samples or negative samples; as well as The model optimization module is used to optimize the conversion rate prediction model based on the updated training data set.

9. An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for determining a promotion information delivery link as described in any one of claims 1 to 5 is implemented.

10. A non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable a computer to execute the promotion information delivery link determination method according to any one of claims 1 to 5.

11. A computer program product, comprising computer program instructions, which, when executed on a computer, enable the computer to execute the method for determining a promotion information delivery link according to any one of claims 1 to 5.

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