CN115689646A - Advertisement pushing method and related product thereof - Google Patents
Advertisement pushing method and related product thereof Download PDFInfo
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- CN115689646A CN115689646A CN202211302882.8A CN202211302882A CN115689646A CN 115689646 A CN115689646 A CN 115689646A CN 202211302882 A CN202211302882 A CN 202211302882A CN 115689646 A CN115689646 A CN 115689646A
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Abstract
The application discloses an advertisement pushing method and a related product thereof. The method comprises the following steps: responding to the current shopping browsing behavior of the user to be processed, and acquiring historical shopping browsing information of the user to be processed; if the historical browsing time of the user to be processed in the historical shopping browsing information is the current day, acquiring the pushed advertisement of the current day; and determining a new advertisement to be pushed based on the historical shopping browsing information and the pushed advertisement, and pushing the new advertisement to the user to be processed. Therefore, the advertisements to be pushed to the user to be processed can be screened by combining the historical shopping browsing information and the pushed advertisements, so that the advertisements which are not pushed before are pushed to the user to be processed, namely, the new advertisements to be pushed, the same advertisement is prevented from being repeatedly pushed to the user to be processed, unnecessary interaction between the front end and the back end is avoided, and the system performance burden is reduced.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to an advertisement delivery method and a related product.
Background
With the rapid development of the internet, the current shopping mode is not limited to the traditional off-line on-site shopping, and various e-commerce platforms come out endlessly. Compared with the traditional on-site shopping under the line, the on-line shopping mode can meet the shopping requirements of users more conveniently and flexibly. However, the online shopping method brings great convenience to users and also brings system burden.
In particular, users are often pushed various advertisements while browsing for goods on e-commerce platforms. The proper advertisement can realize accurate recommendation of commodities, and improves the purchase willingness of the user and the overall satisfaction degree of the user on the E-commerce platform. However, most of the current advertisements lack accuracy, the same advertisement is often recommended to the user repeatedly, and unnecessary performance burden is caused to the system by increasing front-end and back-end interaction unnecessarily.
Disclosure of Invention
The embodiment of the application provides an advertisement pushing method and a related product thereof, so as to realize accurate pushing of advertisements and reduce the performance burden of a system.
In a first aspect, an embodiment of the present application provides an advertisement push method, including:
responding to the current shopping browsing behavior of a user to be processed, and acquiring historical shopping browsing information of the user to be processed;
if the previous historical browsing time of the user to be processed, which is included in the historical shopping browsing information, is the current day, acquiring the pushed advertisement of the current day;
and determining a new advertisement to be pushed based on the historical shopping browsing information and the pushed advertisement, and pushing the new advertisement to the user to be processed.
Optionally, the historical shopping browsing information further includes category information of historical commodities browsed by the user to be processed in the previous time;
determining a new advertisement to be pushed based on the historical shopping browsing information and the pushed advertisement, including:
determining a first candidate advertisement according to the category information of the historical commodities; a first recommended commodity in the first candidate advertisement is the same as the historical commodity in category;
if the pushed advertisement is one of the first candidate advertisements, filtering the pushed advertisement from the first candidate advertisements, and taking the filtered first candidate advertisement as the new advertisement to be pushed.
Optionally, the historical shopping browsing information further includes last jump pages respectively associated with a plurality of different historical commodities browsed by the user to be processed in the previous time;
determining a new advertisement to be pushed based on the historical shopping browsing information and the pushed advertisement, including:
determining the purchase intention priority of the corresponding historical commodities according to the last jump pages respectively associated with the various different historical commodities;
and determining the new advertisement to be pushed according to the purchase intention priority and the pushed advertisement.
Optionally, the determining the new advertisement to be pushed according to the purchase intention priority and the pushed advertisement includes:
determining the commodity with the highest purchasing intention priority from the various different historical commodities as a target commodity according to the purchasing intention priority;
determining a second candidate advertisement according to the category information of the target commodity; a second recommended commodity in the second candidate advertisement is of the same kind as the target commodity;
if the pushed advertisement is one of the second candidate advertisements, filtering the pushed advertisement from the second candidate advertisements, and taking the filtered second candidate advertisement as the new advertisement to be pushed.
Optionally, the determining, according to the last jump pages respectively associated with the multiple different historical commodities, the purchase intention priority of the corresponding historical commodity includes:
determining the type information of the last jump page respectively associated with the various different historical commodities;
when the type information is a detail page of the corresponding historical commodity, determining that the purchase intention priority is a first priority;
when the type information is an order confirmation page of the corresponding historical commodity, determining that the purchase intention priority is a second priority;
when the type information is a payment page of the corresponding historical commodity, determining that the purchase intention priority is a third priority;
wherein the third priority is higher than the second priority, which is higher than the first priority.
Optionally, in the historical shopping browsing information, the previous historical browsing time of the user to be processed is represented in a time stamp form;
before determining a new advertisement to be pushed based on the historical shopping browsing information and the pushed advertisement, the method further comprises:
if the historical shopping browsing information comprises the time mark, and the time mark indicates that the previous historical browsing time of the user to be processed is earlier than the current day, updating the time mark to the current day time;
and if the historical shopping browsing information does not include the previous historical browsing time of the user to be processed, creating a time mark for representing the time of the day in the historical shopping browsing information.
Optionally, the pushing to the user to be processed includes:
acquiring advertisement configuration information corresponding to the new advertisement to be pushed;
and when the advertisement configuration information is approved, pushing the advertisement configuration information to the user to be processed.
In a second aspect, an embodiment of the present application provides an advertisement push apparatus, including:
the historical shopping browsing information acquisition module is used for responding to the current shopping browsing behavior of the user to be processed and acquiring the historical shopping browsing information of the user to be processed;
the pushed advertisement acquisition module is used for acquiring the pushed advertisement of the current day if the historical browsing time of the user to be processed, which is included in the historical shopping browsing information, is the current day;
and the advertisement pushing module is used for determining a new advertisement to be pushed based on the historical shopping browsing information and the pushed advertisement and pushing the new advertisement to the user to be processed.
In a third aspect, an embodiment of the present application provides an advertisement push device, where the device includes: a processor, a memory, a system bus;
the processor and the memory are connected through the system bus;
the memory is used for storing one or more programs, and the one or more programs comprise instructions which, when executed by the processor, cause the processor to execute any one of the above advertisement push methods.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are run on a terminal device, the instructions cause the terminal device to execute any implementation method of the above advertisement push method.
According to the technical scheme, the embodiment of the application has the following advantages:
in the embodiment of the application, in response to the current shopping browsing behavior of the user to be processed, the historical shopping browsing information of the user to be processed can be acquired first. If the historical shopping browsing information comprises the previous historical browsing time of the user to be processed on the current day, the pushed advertisement on the current day can be obtained, and then a new advertisement to be pushed is determined based on the historical shopping browsing information and the pushed advertisement and pushed to the user to be processed. Therefore, the advertisements to be pushed to the user to be processed can be screened by combining the historical shopping browsing information and the pushed advertisements, so that the advertisements which are not pushed before are pushed to the user to be processed, namely, the new advertisements to be pushed, the same advertisement is prevented from being repeatedly pushed to the user to be processed, unnecessary interaction between the front end and the back end is avoided, and the system performance burden is reduced.
Drawings
Fig. 1 is a flowchart of an advertisement push method according to an embodiment of the present application;
FIG. 2 is a flowchart of an implementation manner for determining a new advertisement to be recommended according to an embodiment of the present application;
FIG. 3 is a flowchart of another implementation manner for determining a new advertisement to be recommended according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an advertisement push device according to an embodiment of the present application.
Detailed Description
As mentioned above, currently, when a user browses goods on an e-commerce platform, various advertisements are often pushed. The proper advertisement can realize accurate recommendation of commodities, and improves the purchase willingness of the user and the overall satisfaction degree of the user on the E-commerce platform. However, most of the current advertisements lack accuracy, the same advertisement is often recommended to the user repeatedly, front-end and back-end interaction is increased unnecessarily, and unnecessary performance burden is caused to the system.
In order to solve the above problem, an embodiment of the present application provides an advertisement pushing method, where the method may include: in response to the current shopping browsing behavior of the user to be processed, the historical shopping browsing information of the user to be processed can be acquired first. If the historical shopping browsing information comprises the previous historical browsing time of the user to be processed on the current day, the pushed advertisement on the current day can be obtained, and then a new advertisement to be pushed is determined based on the historical shopping browsing information and the pushed advertisement and pushed to the user to be processed.
Therefore, the advertisements to be pushed to the user to be processed can be screened by combining the historical shopping browsing information and the pushed advertisements, so that the advertisements which are not pushed before are pushed to the user to be processed, namely, the new advertisements to be pushed, the same advertisement is prevented from being repeatedly pushed to the user to be processed, unnecessary interaction between the front end and the back end is avoided, and the system performance burden is reduced.
The embodiments of the present application do not limit the execution subject of the advertisement push method, and for example, the advertisement push method of the embodiments of the present application may be applied to a data processing device such as a terminal device or a server. The terminal device may be a smart phone, a computer, a Personal Digital Assistant (PDA), a tablet computer, or the like. The server may be a stand-alone server, a cluster server, or a cloud server.
In order to make the technical solutions of the present invention better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
Fig. 1 is a flowchart of an advertisement push method according to an embodiment of the present application. As shown in fig. 1, an advertisement push method provided in the embodiment of the present application may include:
s101: and responding to the current shopping browsing behavior of the user to be processed, and acquiring historical shopping browsing information of the user to be processed.
The historical shopping browsing information may specifically include historical browsing time of the user to be processed last time, an advertisement pushed by the user to be processed last time, information of historical commodities browsed by the user to be processed last time, and the like. The information of the historical commodities can include the category information of the historical commodities, last jump pages related to the historical commodities and the type information of the pages. In addition, the previous browsing of the user to be processed refers to the situation that the user to be processed browses the shopping page in the previous time, but not the situation that the user to be processed specifically browses the last jump page associated with a certain commodity in the previous time. That is to say, the condition that the user browses last time to be processed may specifically include that only one commodity is browsed, or that multiple commodities in the same category are browsed, or that multiple different categories of commodities are browsed respectively.
Further, as for the obtaining manner of the historical shopping browsing information of the user to be processed, the embodiment of the present application may not be specifically limited. For example, historical shopping browsing information may be saved in the data processing device for advertisement push, and when advertisement push is required, the data processing device acquires the historical shopping browsing information by locally reading. In practical applications, in order to facilitate the storage of the historical shopping browsing information, the data processing device may add a local storage attribute to the shopping page, which may serve as a local database for storing data in the shopping page as a front end associated with the user to be processed. Thus, compared with Cookie (data stored on a local terminal of a user), the local storage has larger storage space and good storage effect. For another example, the historical shopping browsing information may be saved in another data storage device, and the data processing device may obtain the historical shopping browsing information by accessing the other data storage device when needed.
In addition, the embodiment of the application is not particularly limited to the current shopping browsing behavior of the user to be processed. For example, the user to be processed may trigger to open the shopping page for shopping browsing by clicking a preset button, or may implement shopping browsing by opening, switching, or refreshing the shopping page.
S102: and if the historical browsing time of the user to be processed in the historical shopping browsing information is the current day, acquiring the pushed advertisement of the current day.
In the related art, when a user browses a commodity on an e-commerce platform, an advertisement is pushed, and therefore, if the historical shopping browsing information includes that the previous historical browsing time of the user to be processed is the current day, it can be stated that the user to be processed browses a shopping page on the current day, and therefore, the user to be processed is pushed on the current day, and the pushed advertisement on the current day, that is, the advertisement pushed by the user to be processed on the previous day, can be obtained.
In addition, in the embodiment of the present application, the previous historical browsing time of the user to be processed in the historical shopping browsing information may specifically be represented in the form of a time stamp, and the time stamp may be updated according to the previous shopping page browsing time of the user to be processed. Further, in practical applications, the time stamp may specifically correspond to a plurality of different situations, which are described in detail below.
In one case, a time stamp is included in the historical shopping browsing information, and the time stamp indicates that the previous historical browsing time of the user to be processed is earlier than the current day. Accordingly, the time stamp may be updated to the time of day. In addition, this situation may indicate that the pending user did not browse the shopping page on the same day. According to the description of the related technology, the advertisement can be pushed when the user browses the goods on the e-commerce platform, so that if the user to be processed does not browse the shopping page on the same day, the user to be processed can be indicated to not receive the advertisement push on the same day, and the advertisement can be pushed to the user to be processed by directly combining the historical shopping browsing information.
In another case, the historical shopping browsing information does not include the previous historical browsing time of the user to be processed. This situation may indicate that the current shopping browsing behavior of the user to be processed is to browse the shopping page for the first time. Accordingly, a time stamp may be created in the historical shopping browsing information, with the time stamp indicating the time of day.
S103: and determining a new advertisement to be pushed based on the historical shopping browsing information and the pushed advertisement, and pushing the new advertisement to the user to be processed.
The determination process for a new advertisement to be pushed may not be specifically limited herein. For the convenience of understanding, the embodiments of the present application can provide descriptions of various possible embodiments, and the technical details can be referred to the introduction as follows.
In addition, the method for pushing to the user to be processed may not be specifically limited in the embodiment of the present application. For example, the new advertisement to be pushed may be pushed to the user to be processed in the form of a pop-up window. Correspondingly, if the user to be processed clicks the preset area of the popup window, the user can jump to the page related to the recommended commodity in the new advertisement to be pushed. In addition, a closing control can be added in the popup window, so that the popup window can be closed conveniently when the user to be processed is not interested in the advertisement content. For another example, the advertisement can be pushed to the user to be processed by directly jumping to a page associated with the recommended goods in the new advertisement to be pushed. Accordingly, a return space can be added in the page related to the recommended goods, so that the user to be processed can conveniently return to the last browsed page when the user is not interested in the advertisement content.
In addition, in order to ensure the accuracy of the advertisement, the advertisement needs to be configured and audited before being pushed. Correspondingly, in the embodiment of the present application, the process of pushing to the user to be processed may specifically include: acquiring advertisement configuration information corresponding to a new advertisement to be pushed; and when the advertisement configuration information is checked and passed, pushing the advertisement configuration information to the user to be processed. In practical application, the configuration of the advertisement can be specifically realized by an operator through the data operation device, and the verification of the advertisement can be realized by a verification operator through the data verification device, that is, the configuration, the verification and the pushing of the advertisement are completed by the verification operator and the data verification device in a data interaction mode, so that the accuracy of the advertisement is further improved. Specifically, the staff can edit advertisement configuration information corresponding to advertisements of various commodities in the shopping page in advance through the data operation device, and submit the advertisement configuration information to the data auditing device. Correspondingly, the data auditing equipment audits the advertisement configuration information, and when the audit is passed, the advertisement configuration information can be issued to the user to be processed.
Based on the above-mentioned related contents of S101-S103, in the embodiment of the present application, in response to the current shopping browsing behavior of the user to be processed, the historical shopping browsing information of the user to be processed may be obtained first. If the historical shopping browsing information comprises the previous historical browsing time of the user to be processed on the current day, the pushed advertisement on the current day can be obtained, and then a new advertisement to be pushed is determined based on the historical shopping browsing information and the pushed advertisement and pushed to the user to be processed. Therefore, the advertisements to be pushed to the user to be processed can be screened by combining the historical shopping browsing information and the pushed advertisements, so that the advertisements which are not pushed before are pushed to the user to be processed, namely, the new advertisements to be pushed, the same advertisement is prevented from being repeatedly pushed to the user to be processed, unnecessary interaction between the front end and the back end is avoided, and the system performance burden is reduced.
In order to implement accurate advertisement push and reduce the performance burden of the system, the embodiment of the present application provides an implementation manner for determining a new advertisement to be pushed, that is, S103, which may specifically include S201 to S202. S201-S202 are described below with reference to the embodiments and the drawings, respectively.
In this implementation, the historical shopping browsing information may further include category information of historical commodities browsed by the user last time to be processed. Correspondingly, fig. 2 is a flowchart of an implementation manner of determining a new advertisement to be recommended according to an embodiment of the present application. As shown in fig. 2, S201 to S202 may specifically include:
s201: and determining a first candidate advertisement according to the category information of the historical commodities.
The first recommended item in the first candidate advertisement is of the same category as the historical item.
In the embodiment of the present application, the determination method of the category information of the historical merchandise may not be particularly limited. For example, the classification description information of the historical commodities can be directly extracted from the shopping page, so that the category information of the historical commodities can be obtained. For another example, the image information of the historical product may be identified and classified to obtain the category information of the historical product. For the identification and classification process, any existing or future method capable of identifying the category information of the historical commodities can be adopted.
The first candidate advertisement may refer to an advertisement corresponding to the first recommended item. In practical applications, the content of the first candidate advertisement may specifically include at least one of selling point promotion information, price information, and offer information of the first recommended product.
S202: if the pushed advertisement is one of the first candidate advertisements, the pushed advertisement is filtered from the first candidate advertisements, and the filtered first candidate advertisement is used as a new advertisement to be pushed.
In the embodiment of the present application, if the pushed advertisement is one of the first candidate advertisements, in order to avoid repeatedly pushing the same advertisement to the user to be processed, the pushed advertisement needs to be filtered from the first candidate advertisements, and a new advertisement to be pushed is selected from the filtered first candidate advertisements for pushing.
Furthermore, it can be understood that if the pushed advertisement is not included in the first candidate advertisement, the first candidate advertisement may be regarded as a new advertisement to be pushed.
Based on the related contents of S201-S202, in the embodiment of the present application, by combining the type information of the historical merchandise browsed by the user to be processed last time and the pushed advertisement, not only can the recommendation be performed in a targeted manner, but also the same advertisement can be prevented from being repeatedly pushed to the user to be processed, thereby avoiding unnecessary interaction between the front end and the back end, and reducing the performance burden of the system.
In addition, in practical applications, a pending user may browse a variety of different products by accessing a shopping page once. Based on this situation, in order to implement accurate advertisement pushing and reduce the performance burden of the system, the embodiment of the present application provides another implementation manner for determining a new advertisement to be pushed, that is, S103, which may specifically include S301 to S302. S301 to S302 are described below with reference to the embodiments and the drawings, respectively.
In this implementation manner, the historical shopping browsing information further includes last jump pages respectively associated with a plurality of different historical commodities browsed by the user for the previous time to be processed. Correspondingly, fig. 3 is a flowchart of another implementation manner for determining a new advertisement to be recommended according to an embodiment of the present application. As shown in fig. 3, S301 to S302 may specifically include:
s301: and determining the purchase intention priority of the corresponding historical commodities according to the last jump pages respectively associated with the various different historical commodities.
Specifically, the process of determining the purchase intention priority, that is, S301, may include: determining the type information of the last jump page respectively associated with various different historical commodities; when the type information is the detail page of the corresponding historical commodity, determining that the purchasing intention priority is a first priority; when the type information is an order confirmation page of the corresponding historical commodity, determining that the purchase intention priority is a second priority; when the type information is a payment page of the corresponding historical commodity, determining that the purchase intention priority is a third priority; wherein the third priority is higher than the second priority, which is higher than the first priority. As can be seen, in the process of browsing the commodities by the user to be processed, when the last jump page is the detail page of the corresponding historical commodity, it can be shown that the user to be processed browses the related information of the historical commodity, and the corresponding purchase intention priority can be the first priority; when the last skip page is an order confirmation page of the corresponding historical commodity, it may be indicated that the user to be processed browses order information of the historical commodity, for example, a receiving address, a payment amount, and the like, and the corresponding purchase intention priority may be a second priority; when the last jump page is the payment page of the corresponding historical commodity, it may indicate that the user to be processed intends to pay the historical commodity, and the corresponding purchase intention priority may be a third priority, that is, a highest priority.
In addition, in the embodiment of the present application, the determination process of determining the priority of the purchase intention may also be determined in other ways, and is not specifically limited herein. For example, if the historical shopping browsing information may further include browsing durations of the to-be-processed user at pages respectively associated with the plurality of different historical commodities, the purchase intention priority of the corresponding historical commodity may be determined according to the browsing durations. The longer the browsing time is, the higher the purchasing intention priority of the corresponding historical commodity is; the shorter the browsing time period is, the lower the priority of the purchase intention of the corresponding historical merchandise is. For another example, if the historical shopping browsing information may further include browsing times of the to-be-processed user on pages respectively associated with a plurality of different historical commodities, the purchase intention priority of the corresponding historical commodity may be determined according to the browsing times. The more browsing times are, the higher the purchasing intention priority of the corresponding historical commodity is; the shorter the browsing times, the lower the priority of the purchase intention of the corresponding historical merchandise.
S302: and determining a new advertisement to be pushed according to the purchase intention priority and the pushed advertisement.
For the determination process of the new advertisement to be pushed, that is, S302, the embodiment of the present application may not be particularly limited. For ease of understanding, the following description is made in connection with one possible embodiment.
In a possible implementation, S302 may specifically include: determining a commodity with the highest purchasing intention priority from a plurality of different historical commodities as a target commodity according to the purchasing intention priority; determining a second candidate advertisement according to the category information of the target commodity; the second recommended commodity in the second candidate advertisement is the same as the target commodity in type; if the pushed advertisement is one of the second candidate advertisements, the pushed advertisement is filtered from the second candidate advertisements, and the filtered second candidate advertisement is used as a new advertisement to be pushed. In this way, the second candidate advertisement corresponding to the product with the highest purchase intention priority is pushed, which is beneficial to pushing the product most interested in the user to be processed, thereby realizing accurate pushing of the advertisement. And if the pushed advertisement is one of the second candidate advertisements, in order to avoid repeatedly pushing the same advertisement to the user to be processed, the pushed advertisement needs to be filtered from the second candidate advertisements, and a new advertisement to be pushed is selected from the filtered second candidate advertisements for pushing.
Furthermore, it can be understood that if the second candidate advertisement does not include the pushed advertisement, the second candidate advertisement can be used as a new advertisement to be pushed.
Based on the related contents of S301-S302, in the embodiment of the present application, by combining the last jump page associated with each of the multiple different historical commodities browsed by the user to be processed in the previous time and the pushed advertisement, the purchase intention priority of the user to be processed can be obtained, the commodity in most interest of the user to be processed can be recommended to the user to be processed in a targeted manner, so as to realize accurate pushing of the advertisement, and the same advertisement can be prevented from being repeatedly pushed to the user to be processed, thereby avoiding unnecessary interaction at the front end and the back end, and reducing the performance burden of the system.
Based on the advertisement push method provided by the above embodiment, an advertisement push device can also be provided by the embodiment of the present application. The advertisement delivery device is described below with reference to the embodiments and the drawings, respectively.
Fig. 4 is a schematic structural diagram of an advertisement pushing device according to an embodiment of the present application. As shown in fig. 4, an advertisement push device 400 provided in the embodiment of the present application may include:
a historical shopping browsing information obtaining module 401, configured to obtain historical shopping browsing information of the user to be processed in response to the current shopping browsing behavior of the user to be processed;
the pushed advertisement obtaining module 402 is configured to, if the previous historical browsing time of the user to be processed, which is included in the historical shopping browsing information, is the current day, obtain a pushed advertisement of the current day;
and an advertisement pushing module 403, configured to determine a new advertisement to be pushed based on the historical shopping browsing information and the pushed advertisement, and push the new advertisement to the user to be processed.
In a possible implementation manner, the historical shopping browsing information further comprises category information of historical commodities browsed by the user last time to be processed. Correspondingly, the advertisement push module 403 may specifically include:
the first candidate advertisement determining module is used for determining a first candidate advertisement according to the category information of the historical commodities; the first recommended commodity in the first candidate advertisement and the historical commodity are of the same type;
the first advertisement pushing module is used for filtering the pushed advertisements from the first candidate advertisements if the pushed advertisements are one of the first candidate advertisements, and taking the filtered first candidate advertisements as new advertisements to be pushed.
In a possible implementation manner, the historical shopping browsing information further comprises last jump pages respectively associated with a plurality of different historical commodities browsed by the user last time to be processed. Accordingly, the advertisement push module 403 may specifically include:
the purchase intention priority determining module is used for determining the purchase intention priority of the corresponding historical commodity according to the last jump pages respectively associated with the various different historical commodities;
and the second advertisement pushing module is used for determining a new advertisement to be pushed according to the purchasing intention priority and the pushed advertisement.
In a possible implementation manner, the second advertisement push module may specifically include:
the target commodity determining module is used for determining a commodity with the highest purchasing intention priority from a plurality of different historical commodities as a target commodity according to the purchasing intention priority;
the second candidate advertisement determining module is used for determining a second candidate advertisement according to the category information of the target commodity; the second recommended commodity in the second candidate advertisement is the same as the target commodity in kind;
and the third advertisement pushing module is used for filtering the pushed advertisements from the second candidate advertisements if the pushed advertisements are one of the second candidate advertisements, and taking the filtered second candidate advertisements as new advertisements to be pushed.
In a possible implementation manner, the purchasing intention prioritization module may specifically include:
the type information determining module is used for determining the type information of the last jump page respectively associated with various different historical commodities;
the first priority determining module is used for determining that the purchasing intention priority is the first priority when the type information is the detail page of the corresponding historical commodity;
the second priority determining module is used for determining that the purchase intention priority is a second priority when the type information is an order confirmation page of the corresponding historical commodity;
the third priority determining module is used for determining that the purchasing intention priority is the third priority when the type information is the payment page of the corresponding historical commodity;
wherein the third priority is higher than the second priority, which is higher than the first priority.
In one possible implementation, in the historical shopping browsing information, the previous historical browsing time of the user to be processed is represented in a time stamp form. Accordingly, the advertisement push device 400 may further include:
the time mark updating module is used for updating the time mark to the time of the day if the historical shopping browsing information comprises the time mark and the time mark indicates that the previous historical browsing time of the user to be processed is earlier than the time of the day;
and the time mark creating module is used for creating a time mark for representing the time of the day in the historical shopping browsing information if the historical shopping browsing information does not include the previous historical browsing time of the user to be processed.
In a possible implementation manner, the advertisement pushing module may specifically include:
the advertisement configuration information acquisition module is used for acquiring advertisement configuration information corresponding to a new advertisement to be pushed;
and the fourth advertisement pushing module is used for pushing the advertisement configuration information to the user to be processed when the advertisement configuration information is approved.
Further, an embodiment of the present application further provides an advertisement push device, including: a processor, a memory, a system bus;
the processor and the memory are connected through the system bus;
the memory is configured to store one or more programs, the one or more programs comprising instructions, which when executed by the processor, cause the processor to perform any of the above-described methods of implementing an ad push method.
Further, an embodiment of the present application further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are run on a terminal device, the instructions cause the terminal device to execute any implementation method of the above advertisement push method.
As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that all or part of the steps in the above embodiment methods can be implemented by software plus a necessary general hardware platform. Based on such understanding, the technical solution of the present application may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network communication device such as a media gateway, etc.) to execute the method according to the embodiments or some parts of the embodiments of the present application.
It should be noted that, in the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. An advertisement pushing method, comprising:
responding to the current shopping browsing behavior of a user to be processed, and acquiring historical shopping browsing information of the user to be processed;
if the historical browsing time of the user to be processed in the historical shopping browsing information is the current day, acquiring the pushed advertisement of the current day;
and determining a new advertisement to be pushed based on the historical shopping browsing information and the pushed advertisement, and pushing the new advertisement to the user to be processed.
2. The method of claim 1, wherein the historical shopping browsing information further comprises category information of historical commodities previously browsed by the user to be processed;
determining a new advertisement to be pushed based on the historical shopping browsing information and the pushed advertisement, including:
determining a first candidate advertisement according to the category information of the historical commodities; a first recommended commodity in the first candidate advertisement is the same as the historical commodity in category;
if the pushed advertisement is one of the first candidate advertisements, filtering the pushed advertisement from the first candidate advertisements, and taking the filtered first candidate advertisement as the new advertisement to be pushed.
3. The method according to claim 1, wherein the historical shopping browsing information further comprises last jump pages respectively associated with a plurality of different historical commodities browsed by the user for the previous time to be processed;
determining a new advertisement to be pushed based on the historical shopping browsing information and the pushed advertisement, including:
determining the purchase intention priority of the corresponding historical commodities according to the last jump pages respectively associated with the various different historical commodities;
and determining the new advertisement to be pushed according to the purchase intention priority and the pushed advertisement.
4. The method of claim 3, wherein the determining the new advertisement to be pushed according to the purchase intention priority and the pushed advertisement comprises:
determining the commodity with the highest purchasing intention priority from the various different historical commodities as a target commodity according to the purchasing intention priority;
determining a second candidate advertisement according to the category information of the target commodity; a second recommended commodity in the second candidate advertisement is of the same kind as the target commodity;
if the pushed advertisement is one of the second candidate advertisements, the pushed advertisement is filtered from the second candidate advertisements, and the filtered second candidate advertisement is used as the new advertisement to be pushed.
5. The method according to claim 3, wherein the determining the purchase intention priority of the corresponding historical commodities according to the last jump pages respectively associated with the plurality of different historical commodities comprises:
determining the type information of the last jump page respectively associated with the various different historical commodities;
when the type information is a detail page of the corresponding historical commodity, determining that the purchasing intention priority is a first priority;
when the type information is an order confirmation page of the corresponding historical commodity, determining that the purchase intention priority is a second priority;
when the type information is a payment page of the corresponding historical commodity, determining that the purchase intention priority is a third priority;
wherein the third priority is higher than the second priority, which is higher than the first priority.
6. The method according to any one of claims 1 to 5, characterized in that in the historical shopping browsing information, the previous historical browsing time of the user to be processed is represented in a time stamp form;
before determining a new advertisement to be pushed based on the historical shopping browsing information and the pushed advertisement, the method further comprises:
if the historical shopping browsing information comprises the time mark, and the time mark indicates that the previous historical browsing time of the user to be processed is earlier than the current day, updating the time mark to the current day time;
and if the historical shopping browsing information does not include the previous historical browsing time of the user to be processed, creating a time mark for representing the time of the day in the historical shopping browsing information.
7. The method according to any one of claims 1 to 6, wherein the pushing to the user to be processed comprises:
acquiring advertisement configuration information corresponding to the new advertisement to be pushed;
and when the advertisement configuration information is approved, pushing the advertisement configuration information to the user to be processed.
8. An advertisement push apparatus, comprising:
the historical shopping browsing information acquisition module is used for responding to the current shopping browsing behavior of the user to be processed and acquiring the historical shopping browsing information of the user to be processed;
the pushed advertisement acquisition module is used for acquiring the pushed advertisement of the current day if the historical browsing time of the user to be processed, which is included in the historical shopping browsing information, is the current day;
and the advertisement pushing module is used for determining a new advertisement to be pushed based on the historical shopping browsing information and the pushed advertisement and pushing the new advertisement to the user to be processed.
9. An advertisement push apparatus, characterized in that the apparatus comprises: a processor, a memory, a system bus;
the processor and the memory are connected through the system bus;
the memory is to store one or more programs, the one or more programs including instructions, which when executed by the processor, cause the processor to perform the advertisement push method of any of claims 1 to 7.
10. A computer-readable storage medium having stored therein instructions that, when run on a terminal device, cause the terminal device to perform the advertisement push method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202211302882.8A CN115689646A (en) | 2022-10-24 | 2022-10-24 | Advertisement pushing method and related product thereof |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116911929A (en) * | 2023-09-13 | 2023-10-20 | 北京茄豆网络科技有限公司 | Advertisement service terminal and method based on big data |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116911929A (en) * | 2023-09-13 | 2023-10-20 | 北京茄豆网络科技有限公司 | Advertisement service terminal and method based on big data |
| CN116911929B (en) * | 2023-09-13 | 2023-12-12 | 北京茄豆网络科技有限公司 | Advertisement service terminal and method based on big data |
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