WO2020243894A1

WO2020243894A1 - Advertisement recommending method and apparatus, and electronic device

Info

Publication number: WO2020243894A1
Application number: PCT/CN2019/089951
Authority: WO
Inventors: 刘贞平
Original assignee: 深圳海付移通科技有限公司
Priority date: 2019-06-04
Filing date: 2019-06-04
Publication date: 2020-12-10
Also published as: CN111699503A

Abstract

The present application relates to the technical field of Internet, and in particular, to an advertisement recommending method and apparatus, and an electronic device. The method comprises: after an payment operation completion instruction is detected, obtaining the category of a commodity currently purchased by a user; obtaining historical consumption information of the user; determining a target object according to the category of the commodity and the historical consumption information; generating advertisement information of the target object; controlling a payment page to display the advertisement information. According to the embodiment, an advertisement recommendation is made to the user on the payment page according to the commodity currently purchased by the user and the historical consumption information of the user, and the recommended advertisement is highly targeted and can better satisfy the requirements of the user.

Description

Advertisement recommendation method, device and electronic equipment

Technical field

This application relates to the field of Internet technology, and in particular to an advertisement recommendation method, device and electronic equipment.

Background technique

With the popularization of smart mobile terminals (such as smart phones), the use of QR code payment has become more and more widespread, and consumers are increasingly enjoying the convenience brought by QR code payment. When shopping using a mobile payment application, it is usually to scan the QR code of the merchant, confirm the payment information, and enter the payment password. If the payment is successful, the order information, transaction amount, payment method, etc. are displayed. In addition to displaying these fixed information, some payment applications also display advertisements to consumers on the payment page to promote the advertisement to consumers.

However, when related technologies display recommended advertisements on payment pages, they usually generally recommend unified advertisements, which are not sufficiently targeted, and thus cannot satisfy consumers' demands.

Summary of the invention

The present application provides an advertisement recommendation method, device, and electronic equipment, which are used to solve the technical problem of low pertinence of recommendation results when recommending advertisements in related technologies.

In the first aspect, an embodiment of the present application provides an advertisement recommendation method, which includes:

After detecting the payment operation completion instruction, obtain the category of the commodity currently purchased by the user;

Acquiring historical consumption information of the user;

Determine the target object according to the category of the commodity and the historical consumption information;

Generating advertisement information of the target object;

Control the payment page to display the advertisement information.

Optionally, the determining the target object according to the category of the commodity and the historical consumption information includes:

Acquiring, according to the historical consumption information, a list of merchants of the user's historical high-frequency consumption and the geographic location of the high-frequency consumption;

Acquiring the geographic location of the user's current consumption;

Determine the first target object according to the geographic location of the user's current consumption, and the list of merchants of the user's historical high-frequency consumption and the geographic location of the high-frequency consumption, where the first target object includes at least one merchant;

The target object is determined according to the first target object and the category of the commodity.

Optionally, the determining the target object according to the first target object and the category of the commodity includes:

Screening the first target object according to the category of the commodity to obtain a target merchant;

The target merchant is searched for commodities that are the same or similar to the category of the commodities, and the same or similar commodities are the target objects.

Optionally, the generating advertisement information of the target object includes:

Obtaining preferential information of the target object;

Acquiring attribute information of the currently purchased commodity, where the attribute information includes: consumption amount, time of placing an order, and quantity of commodities;

The coupon of the target object is generated according to the preferential information and the attribute information.

Optionally, the generating the coupon of the target object according to the discount information and the attribute information includes:

Determine the consumption interval corresponding to the attribute information;

The discount information of the consumption interval is acquired to generate the coupon of the target object.

Optionally, the controlling the payment page to display the advertisement information specifically includes:

The control advertisement information is displayed on the face of the polyhedron of the payment page, wherein the payment page is provided with at least one polyhedron.

Optionally, the polyhedron has a rotating effect, and the display of the control advertisement information on the polyhedron of the payment page includes:

Hiding the advertising information on the face of the polyhedron;

When it is acquired that the user has an operation behavior on the face of the polyhedron, controlling the face corresponding to the operation behavior to display the hidden advertisement information.

Optionally, the method further includes:

Acquiring the historical operation behavior of the user on the advertisement information on the payment page, where the historical operation behavior includes clicking and bookmarking;

Get the most clicked advertisement information or the most favorite advertisement information;

Adjust the advertisement information displayed on the payment page according to the advertisement information with the most clicks or the advertisement information with the most favorites.

Optionally, the method further includes:

Acquiring physiological data of the user;

Judging whether the advertisement information meets the health needs of the user according to the physiological data;

If not, adjust the advertisement information displayed on the payment page.

In the second aspect, an embodiment of the present application also provides an advertisement recommendation device, the device including:

The first obtaining module is configured to obtain the category of the commodity currently purchased by the user after detecting the payment operation completion instruction;

The second acquiring module is used to acquire historical consumption information of the user;

The first determining module is configured to determine a target object according to the category of the commodity and the historical consumption information;

The first generating module is used to generate advertisement information of the target object;

The first recommendation module is used to control the payment page to display the advertisement information.

Optionally, the first determining module includes:

The first obtaining unit is configured to obtain a list of merchants of the user's historical high-frequency consumption and the geographic location of the high-frequency consumption according to the historical consumption information;

The second acquiring unit is used to acquire the geographic location of the user's current consumption;

The first determining unit is configured to determine a first target object according to the geographic location of the user's current consumption, as well as the list of merchants of the user's historical high-frequency consumption and the geographic location of the high-frequency consumption, wherein the first target object Include at least one merchant;

The second determining unit is configured to determine the target object according to the first target object and the category of the commodity.

Optionally, the second determining unit is specifically configured to:

Optionally, the first generating module includes:

The third acquiring unit is configured to acquire preferential information of the target object;

The fourth acquiring unit is configured to acquire the attribute information of the currently purchased commodity, where the attribute information includes: consumption amount, time of placing an order, and quantity of commodities;

The first generating unit is configured to generate a coupon for the target object according to the preferential information and the attribute information.

Optionally, the first generating unit is specifically configured to:

Determine the consumption interval corresponding to the attribute information;

Optionally, the first recommendation module is specifically configured to:

Optionally, the polyhedron has a rotation effect, and the first recommendation module is specifically configured to:

Hiding the advertising information on the face of the polyhedron;

Optionally, the device further includes:

The third acquisition module is configured to acquire the historical operation behavior of the user on the advertisement information on the payment page, wherein the historical operation behavior includes click and favorite;

The fourth obtaining module is used to obtain the advertisement information with the most clicks or the advertisement information with the most favorites;

The first adjustment module is configured to adjust the advertisement information displayed on the payment page according to the advertisement information with the most clicks or the advertisement information with the most favorites.

Optionally, the device further includes:

The fifth acquiring module is used to acquire the physiological data of the user;

The first judgment module is configured to judge whether the advertisement information meets the health needs of the user according to the physiological data;

The second adjustment module is used to adjust the advertisement information displayed on the payment page if not.

In a third aspect, an embodiment of the present application also provides an electronic device, including: at least one processor; and, a memory communicatively connected with the at least one processor; wherein the memory stores the memory that can be used by the at least one processor; An instruction executed by the processor, the instruction being executed by the at least one processor, so that the at least one processor can execute the method described above.

In a fourth aspect, an embodiment of the present application also provides a non-volatile computer-readable storage medium, the computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by an electronic device, The electronic device is caused to execute the method as described above.

In a fifth aspect, the embodiments of the present application also provide a computer program product. The computer program product includes a computer program stored on a non-volatile computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by the electronic device, the electronic device is caused to execute the method as described above.

The advertisement recommendation method and advertisement recommendation device provided by the embodiments of the present application obtain the category of the commodity currently purchased by the user after detecting the payment operation completion instruction, and obtain the user's historical consumption information, and then according to the category of the commodity and the historical consumption information Determine the target object, then generate the advertisement information of the target object, and finally display the advertisement information on the payment page, so as to achieve the purpose of recommending the advertisement information to the user. This implementation manner recommends advertisements to users on the payment page according to the products currently purchased by the users and the historical consumption information of the users. The recommended advertisements are highly targeted and can better meet the needs of the users.

Description of the drawings

One or more embodiments are exemplified by the pictures in the corresponding drawings. These exemplified descriptions do not constitute a limitation on the embodiments. Elements with the same reference numbers in the drawings are represented as similar elements. Unless otherwise stated, the figures in the attached drawings do not constitute a limitation of scale.

Fig. 1 is a schematic diagram of an exemplary system structure applied to an embodiment of an advertisement recommendation method or an advertisement recommendation device of the present application;

FIG. 2 is a flowchart of an advertisement recommendation method provided by an embodiment of the present application;

3 is a flowchart of a method for determining a target object currently to be recommended according to the category of the commodity currently purchased by the user and historical consumption information according to an embodiment of the present application;

4 is a flowchart of a method for generating advertisement information of the target object provided by an embodiment of the present application;

FIG. 5 is a flowchart of an advertisement recommendation method provided by another embodiment of the present application;

FIG. 6 is a flowchart of an advertisement recommendation method provided by another embodiment of the present application;

FIG. 7 is a schematic structural diagram of an advertisement recommendation device provided by an embodiment of the present application;

Fig. 8 is a schematic diagram of the hardware structure of an electronic device that implements the foregoing advertisement recommendation method provided by an embodiment of the present application.

Detailed ways

In order to make the purpose, technical solutions, and advantages of this application clearer, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the application, and not used to limit the application.

It should be noted that if there is no conflict, the various features in the embodiments of the present application can be combined with each other, and all fall within the protection scope of the present application. In addition, although the functional modules are divided in the schematic diagram of the device, and the logical sequence is shown in the flowchart, in some cases, the module division in the schematic diagram of the device may be different from the module division in the schematic diagram, or the sequence shown in the flowchart may be executed. Steps out or described.

Please refer to FIG. 1. FIG. 1 is a schematic diagram of an exemplary system structure of an embodiment of an advertisement recommendation method or an advertisement recommendation device applied to the present application. As shown in FIG. 1, the system structure 100 includes a terminal device 101, a server 102 and a network 103. The network 103 is used as a medium for providing a communication link between the terminal device 101 and the server 102. The network 103 may include various connection types, such as wired, wireless communication links, or fiber optic cables.

The user can use the terminal device 101 to interact with the server 102 through the network 103 to receive or send messages. The terminal device 101 may be various electronic devices that have a display screen and support shopping applications or web browsing, including but not limited to smart phones, tablet computers, smart watches, e-readers, and the like. The terminal device 101 can also install various communication client applications, such as shopping applications and web browsers.

The server 102 may be a server that locally stores data to respond to requests from terminal devices. For example, a background server that provides content support and information filtering for shopping applications displayed on the terminal device 101. When a user logs in to a shopping application, the server searches for data locally based on user information, and then analyzes and processes the search data and then processes the results ( For example, the total amount of goods is fed back to the terminal device.

The server 102 may also be a server that remotely obtains data from a third-party server to answer the request of the terminal device 101. For example, when a user purchases a product using a shopping application displayed on the terminal device 101, the server 102 remotely obtains the product information that the user puts in the shopping cart from a third-party server according to the user information, and processes the product information to obtain billing information , And then feed back the processed bill information to the terminal device 101.

It should be noted that the advertisement recommendation method provided by the embodiment of the present application is generally executed by the above-mentioned server 102. Accordingly, the advertisement recommendation device is generally set in the server 102.

It should be understood that the numbers of the terminal device 101, the server 102, and the network 103 in FIG. 1 are merely illustrative. There can be any number of terminal devices 101, servers 102, and networks 103 according to implementation needs.

Please continue to refer to FIG. 2, which shows the flow of an advertisement recommendation method applied according to the above system structure 100, and the method includes:

Step 201: After detecting the payment operation completion instruction, obtain the category of the commodity currently purchased by the user.

The payment operation completion instruction is an instruction sent by the terminal device to the server after the user completes the payment on the terminal device, so that the server learns that the user has completed the purchase. The category of the product currently purchased by the user refers to a result of product classification based on the basic attributes of the product and expert experience. For example, "bread" corresponds to cakes, "watermelon" corresponds to fruits, and "mobile phone" corresponds to For electronic products, "diapers" correspond to mothers and babies, and "mops" correspond to daily necessities, etc. Wherein, the basic attributes of the commodity include the elements constituting the commodity, the role of the commodity, and the like.

In some optional implementations of this embodiment, when the user currently purchases a large number of commodities and a large variety of commodities, when obtaining the category of the commodity currently purchased by the user, commodities with the same or similar basic attributes may be grouped into one. Category commodities, and then the categories of commodities currently purchased by the user may be recorded in a list form or in other forms.

In some optional implementations of this embodiment, after the category of the purchased commodity is obtained, the category of the commodity may be stored on the server, so that subsequent judgments of the same commodity can be directly based on the stored information Obtain the category of the commodity without specific analysis and processing.

Step 202: Obtain historical consumption information of the user.

The user's historical consumption information includes a list of merchants in which the user has made historical high-frequency consumption and a location of the user's historical consumption address. The server may obtain the user's historical consumption information from the memory according to the user's login information.

In some optional implementation manners of this embodiment, the historical consumption information of the user further includes a historical bill of the user, and the historical bill includes the name, amount, quantity, and payment time of the consumer goods.

Step 203: Determine a target object according to the category of the commodity and the historical consumption information.

The target object refers to a certain commodity or certain commodities. In this embodiment, the current target object to be recommended is determined according to the category of the commodity currently purchased by the user and historical consumption information. Specifically, referring to FIG. 3, the following steps are included:

Step 2031, according to the historical consumption information, obtain a list of merchants of the user's historical high-frequency consumption and the geographic location of the high-frequency consumption.

Wherein, the list of merchants of the user's historical high-frequency consumption and the geographic location of the high-frequency consumption can be directly obtained from the memory of the server. The acquired list of merchants with historical high-frequency consumption of users includes at least one merchant, and the acquired geographic location of historical high-frequency consumption of users includes at least one geographic location. Wherein, when the user's historical high-frequency consumption merchant list and high-frequency consumption geographic location both include multiple, the manifestation of each merchant in the user's historical high-frequency consumption merchant list on the list may be the same type Merchants are concentrated in one column of the list, or the merchants are ranked according to the number of consumption times, and the merchants are displayed in a ranking manner. The representation form of the geographic location of the user's historical high-frequency consumption on the list includes sorting the geographic location according to the frequency of high-frequency consumption, and displaying the geographic location in a sorted manner. Or, display the geographic location according to the location relationship of the geographic location, for example, display the geographic locations that belong to the same area together.

The definition of high-frequency consumption can be customized by the user or the system. For example, when the user spends more than 3 times at the A merchant in a week, the A merchant is considered to be a merchant with high-frequency consumption. Or, when a user spends more than 5 times in B place in a week, it is considered that B place belongs to the geographical location of high-frequency consumption. Among them, when consuming at B place, the user's consumption objects include a certain business or a certain business in B place There are no specific restrictions on this for several businesses.

In some optional implementation manners of this embodiment, the above definition of high-frequency consumption may also be updated. For example, the definition of high-frequency consumption can be adjusted according to the consumption situation of the user within a preset time. When the number of consumption times in the user's preset time is relatively small, the limit value of the high-frequency consumption can be reduced. When the number of consumption is relatively high, the limit value of the high-frequency consumption can be increased.

Step 2032. Obtain the geographic location of the user's current consumption.

The geographic location where the user currently consumes may be the location where the user is currently located, or the geographic location of the merchant where the user currently consumes. It should be noted that the forms for users to purchase goods include online purchases (such as purchases on shopping apps) and offline purchases (such as purchases in physical stores). Therefore, the obtained geographic location of the user's current consumption is Determined according to the form of the user's current purchase of goods.

Wherein, when the user purchases a commodity online, the geographic location of the user's current consumption can be obtained through online search according to the information of the merchant consumed by the user. When the user purchases goods offline, the positioning can be performed according to the terminal device used by the user, so as to obtain the geographic location of the user's current consumption.

Step 2033: Determine a first target object according to the geographic location of the user's current consumption, and the list of merchants of the user's historical high-frequency consumption and the geographic location of the high-frequency consumption, where the first target object includes at least one merchant .

Wherein, determining the first target object according to the geographic location of the user's current consumption, the list of merchants of the user's historical high-frequency consumption and the geographic location of the high-frequency consumption includes: according to the geographic location of the user's current consumption and the high-frequency consumption The location relationship of the geographic location of frequent consumption obtains the geographic location of the high-frequency consumption within a preset range from the current geographic location of the user, and then obtains the list of merchants with the historical high-frequency consumption based on the obtained geographic location of the high-frequency consumption For a merchant in the high-frequency consumption geographic location, the merchant is the first target.

In addition to determining the first target object according to the geographic location of the user's current consumption, and the user's historical high-frequency consumption business list and the geographic location of the high-frequency consumption, other methods may also be used to determine the first target object. One target object.

For example, first, obtain the time when the user currently completes the payment, the geographic location of the user's current consumption, the amount of consumption, the commodities consumed, and the information of the merchants consumed, and then the system extracts key fields based on these information, that is, behavior extraction. The extracted key fields are converted into uniform fields of the system, and at the same time, the user's attribute information is obtained. The attribute information includes the user's age, gender, hobbies, personality tags, etc., and then according to the converted uniform field information and the user The attribute information of generates a feature vector of the user; secondly, the feature vector is input into a pre-established recommendation model, thereby outputting the first target object. Wherein, the pre-established recommendation model can be established based on the user's historical high-frequency consumption merchant list, the geographical location of high-frequency consumption, and other data that can be used to analyze user behavior. In addition, the filter module can also be used to rank and filter the first target object obtained in the above steps, and finally obtain the recommended optimal solution. Among them, the filtering module can filter according to the user's feedback information on the recommendation result. For example, if the user's historical operation behavior on the recommendation result includes tagging a certain business's advertisement as "not interested" or "dislike", the follow-up is similar All businesses can be filtered out.

Step 2034: Determine the target object according to the first target object and the category of the commodity.

In this embodiment, the focus is to make recommendations based on the currently purchased commodities, which increases the weight of the currently purchased commodities. Therefore, after the first target object is determined, the final target object is obtained from the first target object according to the category of the commodity. Specifically, the determining the target object according to the first target object and the category of the commodity includes: screening the first target object according to the category of the commodity to obtain the target merchant; Search for a commodity that is the same or similar to the commodity in the category, and the commodity is the target object.

For example, if the category of the product is "electronic product", then it is possible to filter out the merchants that are not selling electronic products in the first target object, and the remaining merchants are the target merchants, and then further according to the category of the product in The product to be recommended is determined in the target merchant, that is, the target object to be recommended. Wherein, when determining the target object in the target merchant according to the category of the product, the category of the product includes not only the above-identified major category (such as "electronic product"), but also a small category, which includes the appearance and size of the product. The price of the product, the composition of the product, and the purpose of the product.

Searching the target merchant for commodities that are the same or similar to the category of the commodity, that is, searching for commodities that are the same or similar to the major category and subcategory of the commodity in the target merchant. Wherein, the same refers to that there are commodities in the target merchant that are in the same category and subcategory as the commodity currently purchased. For example, the target diagonal is the commodity purchased by the current user. Similarity refers to products that are in the same category as the currently purchased product and have similar subcategories. For example, the product purchased by the user is a mobile phone, which can be determined to be partly the same as these parameters according to the model, price, color, screen size, etc. of the mobile phone currently purchased Or mobile phones that are not much different, the determined mobile phone is the target object.

In some optional implementation manners of this embodiment, the target object may be determined from the first target object and the category of the commodity based on a recommendation algorithm, and the specific implementation process may refer to related technical records.

Step 204: Generate advertisement information of the target object.

The advertisement information refers to content information used to recommend the target object to the user, which may be a content introduction to the target object, or may be a coupon used to promote the consumption of the target object. The advertisement information of the target object may be automatically generated by the system according to a preset mode, or the advertisement information of the target object designed by a third party may be uploaded by the developer. Here, the advertisement information of the target object to be recommended can be generated in real time according to the currently purchased product, and the product advertisement to be recommended can be customized according to the product purchased by each user, which is not only highly targeted, but also more personalized.

Of course, in practical applications, the server may also obtain advertisement information related to the target object from a third-party server.

In some optional implementation manners of this embodiment, referring to FIG. 4, the generating of the advertisement information of the target object includes:

Step 2041. Obtain preferential information of the target object. The discount information includes coupons, discount information, and so on. The preferential information includes multiple pieces, and each piece of preferential information is different. The preferential information can be formulated by the merchant corresponding to the target object. It is also possible to set conditions for satisfying the preferential information, and the preferential information can be used only when the conditions are met.

Step 2042. Obtain attribute information of the currently purchased commodity, where the attribute information includes: consumption amount, time of placing an order, and quantity of commodities.

Step 2043: Generate a coupon for the target object according to the discount information and the attribute information.

Wherein, the generating the coupon of the target object according to the preferential information and the attribute information includes: determining a consumption interval corresponding to the attribute information; obtaining preferential information of the consumption interval, thereby generating the target object Coupons.

Wherein, the specific value of the attribute information corresponds to a consumption interval, for example, when the consumption amount is 80, the corresponding consumption interval is the interval where the consumption amount is less than 100, and the discount information corresponding to the interval is a 10% discount for the target object, or 5 yuan coupons etc. For another example, the order time is zero o'clock, and the corresponding consumption interval is zero o'clock to 2 o'clock in the morning. At this time, the discount information corresponding to the interval is 50% off for the target object, or a 100 yuan coupon, etc. For another example, if the number of commodities is 12, and the corresponding consumption interval is greater than 10, then the discount information corresponding to the interval is a 20% discount for the target object, or a 20 yuan coupon.

In some optional implementations of this embodiment, the coupon of the target object may also be updated according to the attribute information of the commodity. For example, the greater the user's consumption amount, the greater the discount strength of the coupon, and the specific discount information of the coupon can be updated according to the change in the user's consumption amount; for example, the earlier the user places an order, the discount of the coupon The stronger the discount is, the specific discount information of the coupon can be updated corresponding to the time when the user places an order. As a result, it can stimulate consumption, promote services, and attract consumers.

Step 205: Control the payment page to display the advertisement information.

The payment page is displayed on the terminal device, and the server sends the advertisement information to the terminal device, so that the terminal device displays the advertisement information to the user.

Among them, a small window can be set on the payment page to display the advertising information in a two-dimensional manner. The displayed advertising information can have the effect of dynamic playback. Of course, the displayed advertising information can also be static, including Picture, audio, video, etc.

It is understandable that because the area of the payment page is limited by the size of the screen of the terminal device, the window of the advertisement information displayed on the payment page is generally relatively small, so that the display of the advertisement information is restricted.

Therefore, in some optional implementations of this embodiment, the controlling the payment page to display the advertisement information further includes: controlling the advertisement information to be displayed on the polyhedron surface of the payment page, wherein the payment page is provided with at least A polyhedron.

When there is only one piece of advertisement information, the advertisement information may be displayed on each side of the polyhedron, and the content of the advertisement information displayed on each side may be the same or different. When the displayed content is different, each side of the polyhedron displays different components of the advertising information. For example, the first side is the name of the target object corresponding to the advertising information, the manufacturer, the production time, and the raw materials. The second side is the discount information of the target object corresponding to the advertising information, the third side is the business address and purchase method of the target object corresponding to the advertising information, and the fourth side is the historical purchase of the target object corresponding to the advertising information. Record, etc.

When there are multiple pieces of advertisement information, different advertisement information can be displayed on different sides of the polyhedron.

It is worth noting that, by default, the first side of the polyhedron is displayed on the screen of the terminal device. This first side is the page that the user will see first, and the first side shows the target corresponding to the optimal recommendation result. Advertising information of the object. The user can operate the screen of the terminal device to control the turning of the polyhedron. For example, if the user slides a finger to the left on the screen, the polyhedron will be turned from the first side to the second side, and the user can also voice control the turning of the polyhedron, or Control the polyhedron to turn over by gestures, and so on. The inversion setting of the polyhedron can be specifically set according to the user's preference, which is not specifically limited here.

In some optional implementations of this embodiment, the polyhedron has a rotation effect, that is, the polyhedron can automatically rotate, and it rotates from the first surface to the second surface, and then to the third surface. The controlling the display of advertisement information on the face of the polyhedron of the payment page includes: hiding the advertisement information on the face of the polyhedron; when it is obtained that the user has an operation behavior on the face of the polyhedron, controlling The face corresponding to the operation behavior displays the hidden advertisement information. In this embodiment, the advertisement information is not directly displayed to the user. Only after the user has an operation behavior on the face of the polyhedron, the advertisement information corresponding to the face will be revealed, thereby increasing the enthusiasm of the user to open the advertisement information, and full A sense of fun.

Wherein, the operation behavior of the user on the face of the polyhedron includes clicking the operation interface, or swiping the operation interface with a finger.

Wherein, the setting for hiding the advertisement information may be to cover a layer of mosaic on the interface of the advertisement information. In this case, the operation behavior may be that the user's finger swipes the operation interface to scrape off the mosaic layer in a manner similar to scratching, and finally expose The advertisement information.

Among them, the hidden advertisement information can be various coupons with different denominations. When the user triggers the display of a certain advertisement information, it can also add a rendering effect to the screen. For example, the advertisement information announced by the user is the target object corresponding to the advertisement information. With the most powerful coupons, you can add rendering effects such as "spreading flowers" and "voice cheering" on the screen to create an award-winning atmosphere and promote users' consumption behavior.

In some optional implementations of this embodiment, in addition to the automatic rotation of the polyhedron, the user can also control its rotation. For example, the user says "start" and the polyhedron starts to rotate at this time, and the user says " Pause", the polyhedron stops rotating.

The foregoing embodiment sets a way of displaying the advertisement information on the payment page. Compared with the prior art, it is more interesting and can attract consumers to actively obtain the advertisement information, thereby promoting consumption.

In some optional implementation manners of this embodiment, referring to FIG. 5, the method further includes:

Step 206: Obtain a historical operation behavior of the user on the advertisement information on the payment page, where the historical operation behavior includes click and favorite.

Step 207: Obtain the advertisement information with the most clicks or the advertisement information with the most favorites.

Step 208: Adjust the advertisement information displayed on the payment page according to the advertisement information with the most clicks or the advertisement information with the most favorites.

In this embodiment, the advertisement information displayed on the payment page is adjusted according to the historical operation behavior of the user on the advertisement information. Wherein, the advertisement information is clicked the most times or the advertisement information is collected the most, which means that the advertisement information is more liked by the user. Therefore, the advertisement information displayed on the payment page is adjusted to the advertisement information with the most clicks or the most favorites.

In some optional implementations of this embodiment, the historical operation behavior may be considered together with the category of the commodity currently purchased by the user and the user's historical consumption information, and a preset recommendation algorithm may be used to recommend the best for the user. Advertising information.

In some optional implementation manners of this embodiment, referring to FIG. 6, the method further includes:

Step 209: Obtain physiological data of the user. The physiological data includes the user's exercise data, sleep data, blood pressure and blood sugar data, and so on. The physiological data of the user may be collected through a terminal device, and the server obtains the physiological data of the user from the terminal device.

Step 210: Determine whether the advertisement information meets the health needs of the user according to the physiological data.

Wherein, judging whether the advertisement information meets the health needs of the user includes extracting keywords of the advertisement information, and when the keywords contain preset sensitive words, the advertisement information does not satisfy the user Otherwise, meet the health needs of the user. The sensitive words include deep-fried, high-fat, high-sugar, ice, spicy, thrilling, exciting and so on. The sensitive vocabulary can be preset by the server system, or can be set by the user according to personal preference, and the sensitive vocabulary can also be updated periodically.

When the health needs of the user are not met, the following step 211 is executed.

Step 211: Adjust the advertisement information displayed on the payment page.

Among them, the adjusted advertisement information may be advertisement information that meets the health needs of the user, or other advertisement information.

For example, when the gender of the user is female, the above-mentioned physiological data may also be the user's menstrual period data, and the time of completing the payment currently coincides with the user's menstrual period, and the recommended advertisement information involves irritating things such as cold and spicy Content (such as a coupon for a certain ice cream), the recommended advertisement information does not meet the user's health needs, and the advertisement information can be adjusted at this time, such as recommending a brown sugar hot drink to the user.

In some optional implementations of this embodiment, the physiological data may be combined with the category of the commodity currently purchased by the user, the user's historical consumption information, and the user's historical operation behavior on the advertisement information on the payment page. Consider, using a preset recommendation algorithm to recommend the best advertisement information for users.

The embodiment of the present application provides an advertisement recommendation method. The method obtains the category of the commodity currently purchased by the user after the payment operation completion instruction is detected, and obtains the user's historical consumption information, and then according to the category of the commodity and the historical consumption information Determine the target object, then generate the advertisement information of the target object, and finally display the advertisement information on the payment page, so as to achieve the purpose of recommending the advertisement information to the user. This implementation manner recommends advertisements to users on the payment page according to the products currently purchased by the users and the historical consumption information of the users. The recommended advertisements are highly targeted and can better meet the needs of the users.

Please refer to FIG. 7, which is a schematic structural diagram of an advertisement recommendation apparatus provided by an embodiment of the present application. As shown in the figure, the apparatus 300 includes: a first obtaining module 301, a second obtaining module 302, and a first determining module 303 , The first generation module 304 and the first recommendation module 305.

Among them, the first obtaining module 301 is configured to obtain the category of the commodity currently purchased by the user after the payment operation completion instruction is detected; the second obtaining module 302 is configured to obtain historical consumption information of the user; the first determining module 303 , Used to determine the target object according to the category of the commodity and the historical consumption information; the first generation module 304, used to generate the advertising information of the target object; the first recommendation module 305, used to control the payment page to display the Advertisement information, thereby recommending the advertisement information to the user.

Wherein, referring also to FIG. 7, the first determining module 303 includes: a first acquiring unit 3031, a second acquiring unit 3032, a first determining unit 3033, and a second determining unit 3034. The first obtaining unit 3031 is configured to obtain a list of merchants of the user's historical high-frequency consumption and the geographic location of high-frequency consumption according to the historical consumption information; the second obtaining unit 3032 is configured to obtain the geographic location of the user's current consumption The first determining unit 3033 is configured to determine the first target object according to the geographic location of the user’s current consumption, as well as the user’s historical high-frequency consumption merchant list and high-frequency consumption geographic location, where the first The target object includes at least one merchant; the second determining unit 3034 is configured to determine the target object according to the first target object and the category of the commodity.

Wherein, the second determining unit 3034 is specifically configured to: filter the first target object according to the category of the product to obtain a target merchant; and search for a product that is the same or similar to the category of the product in the target merchant , The commodity is the target object.

Wherein, referring also to FIG. 7, the first generating module 304 includes: a third obtaining unit 3041, a fourth obtaining unit 3042 and a first generating unit 3043. The third obtaining unit 3041 is used to obtain the preferential information of the target object; the fourth obtaining unit 3042 is used to obtain the attribute information of the currently purchased commodity, where the attribute information includes: consumption amount and time of placing an order The number of commodities; the first generating unit 3043 is configured to generate coupons for the target object according to the discount information and the attribute information.

Wherein, the first generating unit 3043 is specifically configured to: determine the consumption interval corresponding to the attribute information; obtain discount information of the consumption interval, so as to generate the coupon of the target object.

The above-mentioned first recommendation module 305 is specifically configured to control advertisement information to be displayed on the face of the polyhedron of the payment page, so as to recommend the advertisement information to the user, wherein the payment page is provided with at least one polyhedron.

In some optional implementations of this embodiment, the polyhedron has a rotating effect, and the first recommendation module 305 is specifically configured to: hide the advertising information on the face of the polyhedron; When the user has an operation behavior on the face of the polyhedron, controlling the face corresponding to the operation behavior to display the hidden advertisement information, thereby recommending the advertisement information to the user.

In some optional implementation manners of this embodiment, referring also to FIG. 7, the apparatus 300 further includes a third acquisition module 306, a fourth acquisition module 307, and a first adjustment module 308. The third obtaining module 306 is configured to obtain the historical operation behavior of the user on the advertisement information on the payment page, where the historical operation behavior includes clicks and favorites; the fourth obtaining module 307 is configured to obtain the most clicks The first adjustment module 308 is configured to adjust the advertisement information displayed on the payment page according to the most clicked advertisement information or the most favorite advertisement information.

In some optional implementation manners of this embodiment, referring also to FIG. 7, the apparatus 300 further includes a fifth acquiring module 309, a first determining module 310, and a second adjusting module 311. The fifth acquisition module 309 is used to acquire the physiological data of the user; the first judgment module 310 is used to determine whether the advertisement information meets the health needs of the user according to the physiological data; the second adjustment module 311, If not, adjust the advertisement information displayed on the payment page.

It is worth noting that the information exchange and execution process between the modules in the above-mentioned device are based on the same concept as the method embodiment of the present application, and the specific content can be referred to the description in the method embodiment of the present application. Repeat.

The embodiment of the application provides an advertisement recommendation device. The device obtains the category of the commodity currently purchased by the user after detecting the payment operation completion instruction, and obtains the user's historical consumption information, and then according to the category of the commodity and the historical consumption information Determine the target object, then generate the advertisement information of the target object, and finally display the advertisement information on the payment page, so as to achieve the purpose of recommending the advertisement information to the user. This implementation manner recommends advertisements to users on the payment page according to the products currently purchased by the users and the historical consumption information of the users. The recommended advertisements are highly targeted and can better meet the needs of the users.

Please refer to FIG. 8. FIG. 8 is a schematic diagram of the hardware structure of an electronic device 400 for executing the foregoing advertisement recommendation method according to an embodiment of the present application. As shown in FIG. 8, the electronic device 400 includes:

One or more processors 401 and a memory 402. One processor 401 is taken as an example in FIG. 8.

The processor 401 and the memory 402 may be connected through a bus or in other ways. In FIG. 8, the connection through a bus is taken as an example.

The memory 402, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs and modules, such as program instructions corresponding to the advertising recommendation method in the embodiment of the present application /Module (for example, each module shown in FIG. 7). The processor 401 executes various functional applications and data processing of the server by running non-volatile software programs, instructions, and modules stored in the memory 402, that is, realizing the advertisement recommendation method of the foregoing method embodiment.

The memory 402 may include a storage program area and a storage data area. The storage program area may store an operating system and an application program required by at least one function; the storage data area may store data created according to the use of the advertisement recommendation device. In addition, the memory 402 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage devices. In some embodiments, the memory 402 may optionally include a memory remotely provided with respect to the processor 401, and these remote memories may be connected to the advertisement recommendation apparatus via a network. Examples of the aforementioned networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

The one or more modules are stored in the memory 402, and when executed by the one or more processors 401, the advertisement recommendation method in any of the foregoing method embodiments is executed, for example, the foregoing description of FIGS. 2 to The method steps in FIG. 6 realize the functions of the modules and units in FIG. 7.

The above-mentioned products can execute the methods provided in the embodiments of the present application, and have functional modules and beneficial effects corresponding to the execution methods. For technical details not described in detail in this embodiment, please refer to the method provided in the embodiment of this application.

The electronic devices in the embodiments of this application exist in various forms, including but not limited to:

(1) Server: A device that provides computing services. The composition of a server includes a processor, hard disk, memory, system bus, etc. The server is similar to a general computer architecture, but due to the need to provide highly reliable services, it is in terms of processing power and stability. , Reliability, security, scalability, and manageability.

(2) Other electronic devices with data interaction functions.

The embodiments of the present application provide a non-volatile computer-readable storage medium, the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are executed by one or more processors, for example, execute the above The described method steps in FIGS. 2 to 6 implement the functions of each module and each unit in FIG. 7.

The embodiment of the present application provides a computer program product, which includes a calculation program stored on a non-volatile computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the The computer executes the advertisement recommendation method in any of the foregoing method embodiments, for example, executes the method steps in FIGS. 2 to 6 described above to realize the functions of the modules and units in FIG. 7.

The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in One place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.

Through the description of the above implementation manners, a person of ordinary skill in the art can clearly understand that each implementation manner can be implemented by means of software plus a general hardware platform, and of course, it can also be implemented by hardware. A person of ordinary skill in the art can understand that all or part of the processes in the method of the foregoing embodiments can be implemented by instructing relevant hardware through a computer program. The program can be stored in a computer readable storage medium. When executed, it may include the processes of the above-mentioned method embodiments. Wherein, the storage medium may be a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM), or a random access memory (Random Access Memory, RAM), etc.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; under the idea of this application, the above embodiments or the technical features in different embodiments can also be combined. The steps can be implemented in any order, and there are many other variations in different aspects of the application as described above. For the sake of brevity, they are not provided in the details; although the application has been described in detail with reference to the foregoing embodiments, it is common in the art The technical personnel should understand that: they can still modify the technical solutions described in the foregoing embodiments, or equivalently replace some of the technical features; and these modifications or substitutions do not make the essence of the corresponding technical solutions deviate from the implementations of this application Examples of the scope of technical solutions.

Claims

An advertisement recommendation method, characterized in that the method includes:

After detecting the payment operation completion instruction, obtain the category of the commodity currently purchased by the user;

Acquiring historical consumption information of the user;

Determine the target object according to the category of the commodity and the historical consumption information;

Generating advertisement information of the target object;

Control the payment page to display the advertisement information.
The method according to claim 1, wherein the determining the target object according to the category of the commodity and the historical consumption information comprises:

Acquiring, according to the historical consumption information, a list of merchants of the user's historical high-frequency consumption and the geographic location of the high-frequency consumption;

Acquiring the geographic location of the user's current consumption;

Determine a first target object according to the geographic location of the user's current consumption, and the list of merchants of the user's historical high-frequency consumption and the geographic location of the high-frequency consumption, where the first target object includes at least one merchant;

The target object is determined according to the first target object and the category of the commodity.
The method according to claim 2, wherein the determining the target object according to the first target object and the category of the commodity comprises:

Screening the first target object according to the category of the commodity to obtain a target merchant;

The target merchant is searched for commodities that are the same or similar to the category of the commodities, and the same or similar commodities are the target objects.
The method according to claim 1, wherein said generating advertisement information of said target object comprises:

Obtaining preferential information of the target object;

Acquiring attribute information of the currently purchased commodity, where the attribute information includes: consumption amount, time of placing an order, and quantity of commodities;

The coupon of the target object is generated according to the preferential information and the attribute information.
The method of claim 4, wherein the generating the coupon of the target object according to the discount information and the attribute information comprises:

Determine the consumption interval corresponding to the attribute information;

The discount information of the consumption interval is acquired to generate the coupon of the target object.
The method according to claim 1, wherein the controlling the payment page to display the advertisement information specifically comprises:

The control advertisement information is displayed on the face of the polyhedron of the payment page, wherein the payment page is provided with at least one polyhedron.
The method according to claim 6, wherein the polyhedron has a rotating effect, and the controlling advertisement information to be displayed on the face of the polyhedron of the payment page comprises:

Hiding the advertising information on the face of the polyhedron;

When it is acquired that the user has an operation behavior on the face of the polyhedron, controlling the face corresponding to the operation behavior to display the hidden advertisement information.
The method according to any one of claims 1 to 7, wherein the method further comprises:

Acquiring the historical operation behavior of the user on the advertisement information on the payment page, where the historical operation behavior includes clicking and bookmarking;

Get the most clicked advertisement information or the most favorite advertisement information;

Adjust the advertisement information displayed on the payment page according to the advertisement information with the most clicks or the advertisement information with the most favorites.
The method according to any one of claims 1 to 8, wherein the method further comprises:

Acquiring physiological data of the user;

Judging whether the advertisement information meets the health needs of the user according to the physiological data;

If not, adjust the advertisement information displayed on the payment page.
An advertisement recommendation device, characterized in that the device includes:

The first obtaining module is configured to obtain the category of the commodity currently purchased by the user after detecting the payment operation completion instruction;

The second acquiring module is used to acquire historical consumption information of the user;

The first determining module is used to determine the target object according to the category of the commodity and the historical consumption information;

The first generating module is used to generate advertisement information of the target object;

The first recommendation module is used to control the payment page to display the advertisement information.
The device according to claim 10, wherein the first determining module comprises:

The first obtaining unit is configured to obtain a list of merchants of the user's historical high-frequency consumption and the geographic location of the high-frequency consumption according to the historical consumption information;

The second acquiring unit is used to acquire the geographic location of the user's current consumption;

The first determining unit is configured to determine a first target object according to the geographic location of the user's current consumption, as well as the list of merchants of the user's historical high-frequency consumption and the geographic location of the high-frequency consumption, wherein the first target object Include at least one merchant;

The second determining unit is configured to determine the target object according to the first target object and the category of the commodity.
The device according to claim 11, wherein the second determining unit is specifically configured to:

Screening the first target object according to the category of the commodity to obtain a target merchant;

The target merchant is searched for commodities that are the same or similar to the category of the commodities, and the same or similar commodities are the target objects.
The device according to claim 10, wherein the first generating module comprises:

The third acquiring unit is configured to acquire preferential information of the target object;

The fourth acquiring unit is configured to acquire the attribute information of the currently purchased commodity, where the attribute information includes: consumption amount, time of placing an order, and quantity of commodities;

The first generating unit is configured to generate a coupon for the target object according to the preferential information and the attribute information.
The device according to claim 13, wherein the first generating unit is specifically configured to:

Determine the consumption interval corresponding to the attribute information;

The discount information of the consumption interval is acquired to generate the coupon of the target object.
The device according to claim 10, wherein the first recommendation module is specifically configured to:

The control advertisement information is displayed on the face of the polyhedron of the payment page, wherein the payment page is provided with at least one polyhedron.
The device according to claim 15, wherein the polyhedron has a rotation effect, and the first recommendation module is specifically configured to:

Hiding the advertising information on the face of the polyhedron;

When it is acquired that the user has an operation behavior on the face of the polyhedron, controlling the face corresponding to the operation behavior to display the hidden advertisement information.
The device according to any one of claims 10 to 16, wherein the device further comprises:

The third acquisition module is configured to acquire the historical operation behavior of the user on the advertisement information on the payment page, wherein the historical operation behavior includes click and favorite;

The fourth obtaining module is used to obtain the advertisement information with the most clicks or the advertisement information with the most favorites;

The first adjustment module is configured to adjust the advertisement information displayed on the payment page according to the advertisement information with the most clicks or the advertisement information with the most favorites.
The device according to any one of claims 10 to 17, wherein the device further comprises:

The fifth acquiring module is used to acquire the physiological data of the user;

The first judgment module is configured to judge whether the advertisement information meets the health needs of the user according to the physiological data;

The second adjustment module is used to adjust the advertisement information displayed on the payment page if not.
An electronic device, characterized in that it comprises:

At least one processor; and,

A memory communicatively connected with the at least one processor; wherein,

The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute any one of claims 1-9. Methods.
A non-volatile computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, when the computer-executable instructions are executed by an electronic device, the electronic device executes rights The method of any one of 1-9 is required.
A computer program product, wherein the computer program product includes a computer program stored on a non-volatile computer-readable storage medium, the computer program includes program instructions, and when the program instructions are executed by an electronic device To enable the electronic device to execute the method according to any one of claims 1-9.