CN111699503A - Advertisement recommendation method and device and electronic equipment - Google Patents
Advertisement recommendation method and device and electronic equipment Download PDFInfo
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- CN111699503A CN111699503A CN201980010322.5A CN201980010322A CN111699503A CN 111699503 A CN111699503 A CN 111699503A CN 201980010322 A CN201980010322 A CN 201980010322A CN 111699503 A CN111699503 A CN 111699503A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0253—During e-commerce, i.e. online transactions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0255—Targeted advertisements based on user history
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
Abstract
The present application relates to the field of internet technologies, and in particular, to an advertisement recommendation method and apparatus, and an electronic device. The method comprises the following steps: after a payment operation completion instruction is detected, acquiring the category of a commodity purchased by a user at present; acquiring 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; and controlling a payment page to display the advertisement information. According to the method and the system for recommending the advertisements, the advertisements are recommended to the users on the payment page according to the commodities purchased by the users at present and the historical consumption information of the users, the recommended advertisements are strong in pertinence, and the requirements of the users can be met better.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to an advertisement recommendation method and apparatus, and an electronic device.
Background
Along with the popularization of intelligent mobile terminals (such as smart phones), the use of two-dimensional code payment is more and more extensive, and consumers increasingly enjoy the convenience brought by the two-dimensional code payment. When shopping by using a mobile payment application, a merchant two-dimensional code is scanned, payment information is confirmed, a payment password is input, and if payment is successful, order information, transaction amount, a payment mode and the like are displayed. Some payment applications, in addition to presenting these fixed information, present the advertisement to the consumer on a payment page, thereby promoting the advertisement to the consumer.
However, in the related art, the recommended advertisements are generally recommended unified advertisements when the recommended advertisements are displayed on the payment page, and the pertinence is not strong enough, so that the appeal of consumers cannot be met.
Disclosure of Invention
The application provides an advertisement recommendation method, an advertisement recommendation device and electronic equipment, which are used for solving the technical problem that recommendation results are low in pertinence when advertisements are recommended in the related art.
In a first aspect, an embodiment of the present application provides an advertisement recommendation method, where the method includes:
after a payment operation completion instruction is detected, acquiring the category of a commodity purchased by a user at present;
acquiring 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;
and controlling a payment page to display the advertisement information.
Optionally, the determining a target object according to the category of the commodity and the historical consumption information includes:
acquiring a merchant list of the user historical high-frequency consumption and a geographical position of the high-frequency consumption according to the historical consumption information;
acquiring the current consumption geographic position of the user;
determining a first target object according to the geographical position of current consumption of the user, a merchant list of historical high-frequency consumption of the user and the geographical position of high-frequency consumption, wherein the first target object comprises at least one merchant;
and determining the target object 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;
and searching for the commodities with the same or similar categories as the commodities in the target merchant, wherein the same or similar commodities are the target object.
Optionally, the generating of the advertisement information of the target object includes:
acquiring the discount information of the target object;
acquiring attribute information of the currently purchased commodity, wherein the attribute information comprises: consumption amount, ordering time and commodity quantity;
and generating a coupon of the target object according to the discount information and the attribute information.
Optionally, the generating a coupon of the target object according to the offer information and the attribute information includes:
determining a consumption interval corresponding to the attribute information;
and acquiring the discount information of the consumption interval to generate the discount coupon of the target object.
Optionally, the controlling the payment page to display the advertisement information specifically includes:
and controlling the advertisement information to be displayed on the polyhedral face of the payment page, wherein the payment page is provided with at least one polyhedron.
Optionally, the polyhedron has a rotation effect, and the control advertisement information is displayed on a face of the polyhedron of the payment page, including:
the advertisement information is hidden on the surface of the polyhedron;
and when the operation behavior of the user on the surface of the polyhedron is acquired, controlling the surface corresponding to the operation behavior to display the hidden advertisement information.
Optionally, the method further comprises:
acquiring historical operation behaviors of the user on the advertisement information on the payment page, wherein the historical operation behaviors comprise clicking and collecting;
acquiring advertisement information with the most clicks or advertisement information with the most collections;
and adjusting the advertisement information displayed on the payment page according to the advertisement information with the maximum click times or the advertisement information with the maximum collection.
Optionally, the method further comprises:
acquiring physiological data of the user;
judging whether the advertisement information meets the health requirements of the user or not according to the physiological data;
if not, adjusting the advertisement information displayed on the payment page.
In a second aspect, an embodiment of the present application further provides an advertisement recommendation apparatus, where the apparatus includes:
the first acquisition module is used for acquiring the category of the commodity purchased by the user at present after the payment operation completion instruction is detected;
the second acquisition module is used for acquiring historical consumption information of the user;
the first determining module is used for determining a target object according to the category of the commodity and the historical consumption information;
the first generation module is used for generating the advertisement information of the target object;
and the first recommending module is used for controlling the payment page to display the advertisement information.
Optionally, the first determining module includes:
the first acquisition unit is used for acquiring a merchant list of the user historical high-frequency consumption and a geographical position of the high-frequency consumption according to the historical consumption information;
the second acquisition unit is used for acquiring the current consumption geographic position of the user;
the first determining unit is used for determining a first target object according to the current consumption geographic position of the user, the historical high-frequency consumption merchant list of the user and the high-frequency consumption geographic position, wherein the first target object comprises at least one merchant;
a second determination unit 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:
screening the first target object according to the category of the commodity to obtain a target merchant;
and searching for the commodities with the same or similar categories as the commodities in the target merchant, wherein the same or similar commodities are the target object.
Optionally, the first generating module comprises:
a third obtaining unit, configured to obtain discount information of the target object;
a fourth obtaining unit, configured to obtain attribute information of the currently purchased product, where the attribute information includes: consumption amount, ordering time and commodity quantity;
and the first generating unit is used for generating a coupon of the target object according to the discount information and the attribute information.
Optionally, the first generating unit is specifically configured to:
determining a consumption interval corresponding to the attribute information;
and acquiring the discount information of the consumption interval to generate the discount coupon of the target object.
Optionally, the first recommending module is specifically configured to:
and controlling the advertisement information to be displayed on the polyhedral face of the payment page, wherein the payment page is provided with at least one polyhedron.
Optionally, the polyhedron has a rotation effect, and the first recommending module is specifically configured to:
the advertisement information is hidden on the surface of the polyhedron;
and when the operation behavior of the user on the surface of the polyhedron is acquired, controlling the surface corresponding to the operation behavior to display the hidden advertisement information.
Optionally, the apparatus further comprises:
the third acquisition module is used for acquiring historical operation behaviors of the user on the advertisement information on the payment page, wherein the historical operation behaviors comprise clicking and collecting;
the fourth acquisition module is used for acquiring the advertisement information with the maximum click times or the advertisement information with the maximum collection;
and the first adjusting module is used for adjusting the advertisement information displayed on the payment page according to the advertisement information with the maximum click times or the advertisement information with the maximum collection.
Optionally, the apparatus further comprises:
a fifth obtaining module, configured to obtain physiological data of the user;
the first judgment module is used for judging whether the advertisement information meets the health requirement of the user or not according to the physiological data;
and the second adjusting module is used for adjusting the advertisement information displayed on the payment page if the payment page is not the payment page.
In a third aspect, an embodiment of the present application further provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method as described above.
In a fourth aspect, embodiments of the present application further provide a non-transitory computer-readable storage medium storing computer-executable instructions that, when executed by an electronic device, cause the electronic device to perform the method described above.
In a fifth aspect, the present application also provides a computer program product, which includes a computer program stored on a non-volatile computer-readable storage medium, the computer program including program instructions, which, when executed by an electronic device, cause the electronic device to perform the method as described above.
According to the advertisement recommendation method and the advertisement recommendation device provided by the embodiment of the application, after the payment operation completion instruction is detected, the category of the commodity purchased by the user at present is obtained, the historical consumption information of the user is obtained, the target object is determined according to the category of the commodity and the historical consumption information, the advertisement information of the target object is regenerated, and finally the advertisement information is displayed on the payment page, so that the purpose of recommending the advertisement information to the user is achieved. According to the method and the system for recommending the advertisements, the advertisements are recommended to the users on the payment page according to the commodities purchased by the users at present and the historical consumption information of the users, the recommended advertisements are strong in pertinence, and the requirements of the users can be met better.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
Fig. 1 is a schematic diagram of an exemplary system structure of an embodiment of an advertisement recommendation method or an advertisement recommendation apparatus applied to the present application;
FIG. 2 is a flowchart of an advertisement recommendation method provided by an embodiment of the present application;
FIG. 3 is a flowchart of a method for determining a target object to be recommended according to a category of a product currently purchased by a user and historical consumption information according to an embodiment of the present application;
FIG. 4 is a flowchart of a method for generating advertisement information of the target object according to an embodiment of the present disclosure;
FIG. 5 is a flow chart of a method for advertisement recommendation provided in another embodiment of the present application;
FIG. 6 is a flow chart of a method for advertisement recommendation provided in yet another embodiment of the present application;
fig. 7 is a schematic structural diagram of an advertisement recommendation device according to an embodiment of the present application;
fig. 8 is a schematic hardware structure diagram of an electronic device that executes the advertisement recommendation method according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
It should be noted that, if not conflicted, the various features of the embodiments of the present application may be combined with each other within the scope of protection of the present application. Additionally, while functional block divisions are performed in the device diagrams, with logical sequences shown in the flowcharts, in some cases, the steps shown or described may be performed in a different order than the block divisions in the device diagrams, or the flowcharts.
Referring 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 apparatus applied to the present application. As shown in fig. 1, the system configuration 100 includes a terminal apparatus 101, a server 102, and a network 103. Network 103 is the medium used to provide communication links between terminal device 101 and server 102. Network 103 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
A user may use terminal device 101 to interact with server 102 over network 103 to receive or send messages. The terminal device 101 may be various electronic devices having a display screen and supporting 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 may also install various communication client applications such as a shopping application, a web browser, and the like.
The server 102 may also be a server that remotely obtains data from a third party server in response to a request by the terminal device 101. For example, when a user purchases a commodity using a shopping application displayed on the terminal device 101, the server 102 remotely obtains commodity information of the user placed in a shopping cart from a third-party server according to the user information, processes the commodity information to obtain billing information, and then feeds back the processed billing information to the terminal device 101.
It should be noted that the advertisement recommendation method provided in the embodiment of the present application is generally executed by the server 102, and accordingly, the advertisement recommendation device is generally disposed in the server 102.
It should be understood that the number of terminal devices 101, servers 102, and networks 103 in fig. 1 is merely illustrative. There may be any number of terminal devices 101, servers 102, and networks 103, as desired for implementation.
Continuing to refer to FIG. 2, a flow chart of an advertisement recommendation method applied according to the system architecture 100 described above is shown, the method comprising:
The payment operation completion instruction is an instruction sent to the server by the terminal equipment after the payment of the user is completed by the terminal equipment, so that the server learns that the user completes the purchase. The category of the commodity purchased by the user currently refers to a result of classifying the commodity according to basic attributes and expert experiences of the commodity, for example, "bread" corresponds to a cake category, "watermelon" corresponds to a fruit category, "mobile phone" corresponds to an electronic product category, "paper diaper" corresponds to a mother and baby category, "mop" corresponds to a daily product category, and the like. Wherein the basic attributes of the commodity comprise elements constituting the commodity, the action of the commodity and the like.
In some optional implementation manners of this embodiment, when the number of the items currently purchased by the user is large and the categories of the items currently purchased by the user are large, when the categories of the items currently purchased by the user are obtained, the items with the same or similar basic attributes may be classified into a category of items, and then the categories of the items currently purchased by the user may be recorded in a list form or other forms.
In some optional implementation manners of this embodiment, after the category of the purchased commodity is obtained, the category of the commodity may be stored in the server, so that when the same commodity is determined in the following step, the category of the commodity may be directly obtained according to the stored information without performing specific analysis processing.
The historical consumption information of the user comprises a merchant list of historical high-frequency consumption of the user and a historical consumption address position of the user. The server can acquire the historical consumption information of the user from the storage according to the login information of the user.
In some optional implementations of this embodiment, the historical consumption information of the user further includes a historical bill of the user, where the historical bill includes a name, an amount, a payment time, and the like of the consumed commodity.
The target object refers to a certain commodity or several commodities. In this embodiment, the determining a target object to be recommended currently according to the category of the product purchased currently by the user and the historical consumption information, specifically, referring to fig. 3, includes the following steps:
The method comprises the steps of obtaining a user history high-frequency consumption merchant list and a high-frequency consumption geographical position from a memory of a server directly. The obtained merchant list of the user history high-frequency consumption comprises at least one merchant, and the obtained geographical position of the user history high-frequency consumption comprises at least one geographical position. When the merchant list of the user historical high-frequency consumption and the geographical location of the high-frequency consumption both comprise a plurality of merchants, the representation form of each merchant in the merchant list of the user historical high-frequency consumption on the list can be that the same type of merchants are concentrated in one column of the list, or the merchants are ranked according to the consumption times, and the merchants are displayed in a ranking mode. The representation form of the geographical positions of the user historical high-frequency consumption on the list comprises the steps of sorting the geographical positions according to the frequency of the high-frequency consumption, and displaying the geographical positions in a sorting mode. Or, the geographic locations are displayed according to the position relationship of the geographic locations, such as displaying the geographic locations belonging to the same area together, and the like.
The definition of high frequency consumption may be customizable by a user or system. For example, when the number of times of consumption of the merchant A in one week is more than 3, the merchant A is considered to belong to the high-frequency consumption merchant. Or, when the user consumes the place B more than 5 times in a week, the place B is considered to belong to the geographical location of high-frequency consumption, wherein when the user consumes the place B, the consumption object of the user includes a certain merchant or several merchants of the place B, which is not particularly limited.
In some optional implementations of this embodiment, the definition of high frequency consumption may also be updated. For example, the definition of the high-frequency consumption is adjusted according to the consumption condition within the preset time of the user, when the total consumption times within the preset time of the user are small, the definition value of the high-frequency consumption can be reduced, and when the total consumption times within the preset time of the user are high, the definition value of the high-frequency consumption can be increased.
The geographical location currently consumed by the user may be a current location of the user, or may be a geographical location of a merchant currently consumed by the user. It should be noted that the form of the product purchased by the user includes online purchase (such as purchase on a shopping-like application) and offline purchase (such as purchase in a brick and mortar store), and therefore, the obtained geographic location of the current consumption of the user is determined according to the form of the product currently purchased by the user.
When the user purchases the commodity in an online mode, the current consumption geographic position of the user can be obtained in a networking searching mode according to the merchant information consumed by the user. When the user purchases goods in an offline mode, the user can perform positioning according to the terminal equipment used by the user, so that the current consumption geographic position of the user is obtained.
Determining a first target object according to the current consumption geographic position of the user, the historical high-frequency consumption merchant list of the user and the high-frequency consumption geographic position, wherein the determining of the first target object comprises the following steps: and acquiring a high-frequency consumption geographical position with the distance from the current geographical position of the user within a preset range according to the position relation between the current consumption geographical position of the user and the high-frequency consumption geographical position of the user, and then acquiring a merchant in the high-frequency consumption geographical position, namely the first target, based on the acquired high-frequency consumption geographical position and a historical high-frequency consumption merchant list of the user.
Besides the above-mentioned determination of the first target object according to the geographical location of the current consumption of the user, the merchant list of the historical high-frequency consumption of the user and the geographical location of the high-frequency consumption, the first target object may be determined in other manners.
For example, firstly, the time when the user finishes payment currently, the current consumption geographical position of the user, the consumption amount, the consumed commodity and the consumed merchant information are obtained, then the system extracts key fields based on the information, namely behavior extraction, converts the extracted key fields into fields unified by the system, obtains attribute information of the user at the same time, wherein the attribute information comprises the age, the sex, the hobby, the individual label and the like of the user, and generates a feature vector of the user according to the converted unified field information and the attribute information of the user; and secondly, inputting the feature vector into a pre-established recommendation model, thereby outputting the first target object. The pre-established recommendation model can be established according to the user historical high-frequency consumption merchant list, the high-frequency consumption geographical position and other data which can be used for analyzing user behaviors. In addition, ranking filtering can be performed on the first target object obtained in the above steps through a filtering module, and finally a recommended optimal solution is obtained. The filtering module may filter the feedback information of the recommendation result according to the user, for example, if the historical operation behavior of the user on the recommendation result includes a label of "not interested" or "dislike" for an advertisement of a certain merchant, then subsequent similar merchants may be filtered out.
In this embodiment, the emphasis is to recommend the product according to the currently purchased product, and the weight of the currently purchased product is increased. Therefore, after the first target object is determined, a final target object is obtained in 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 a target merchant; and searching for the commodities with the same or similar categories as the commodities in the target merchant, wherein the commodities are the target objects.
For example, if the category of the product is "electronic product", it may filter out merchants who are not in the category of selling electronic products in the first target object, and the remaining merchants are the target merchants, and then further determine the product to be recommended, that is, the target object to be recommended, in the target merchants according to the category of the product. When a target object is determined in a target merchant according to the category of a commodity, the category of the commodity includes, in addition to the above-identified major category (for example, "electronic product"), a minor category including the appearance, size, price, composition of the commodity, use of the commodity, and the like.
And searching for the commodities with the same or similar categories as the commodities in the target merchant, namely searching for the commodities with the same or similar categories as the commodities in the target merchant. The term "identical" means that there are items in the same category as the item currently purchased and the same category as the item currently purchased in the target merchant, for example, the target diagonal is the item currently purchased by the user. The similarity refers to the same products as the large class and similar products as the small class of the currently purchased products, for example, the product purchased by the user is a mobile phone, and the mobile phone which is the same as or slightly different from the parameters can be determined according to the model, price, color, screen size and the like of the currently purchased mobile phone, and 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 a specific implementation process may refer to a description of related art.
And step 204, generating the advertisement information of the target object.
The advertisement information refers to content information for recommending the target object to the user, and may be a content introduction to the target object, a coupon for promoting the target object to be consumed, or the like. The system can automatically generate the advertising information of the target object according to a preset mode, and developers can upload the advertising information of the target object designed by a third party. The advertisement information of the target object to be recommended can be generated in real time according to the current purchased commodities, and the commodity advertisement to be recommended can be customized according to the commodities purchased by each user, so that the method is strong in pertinence and more personalized.
Of course, in practical applications, the server may also obtain the 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 the advertisement information of the target object includes:
step 2041, obtaining the preferential information of the target object. The offer information includes coupons, discount information, and the like. The offer information includes a plurality of pieces, and each piece of offer information is different. The offer information may be formulated by the merchant corresponding to the target object. It is also possible to set a condition that satisfies the preference information, and the preference information can be used only when the condition is satisfied.
And 2043, generating a coupon of the target object according to the discount information and the attribute information.
Wherein the generating of the coupon of the target object according to the coupon information and the attribute information includes: determining a consumption interval corresponding to the attribute information; and acquiring the discount information of the consumption interval so as to generate the discount coupon of the target object.
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 an interval in which the consumption amount is less than 100, and at this time, the offer information corresponding to the interval is a target object with nine folds, or a 5-yuan coupon, etc. For another example, the order-placing time is zero, the corresponding consumption interval is from zero to 2 am, and the coupon information corresponding to the interval is a target object to be printed with five folds, or a 100-yuan coupon. For another example, the number of the products is 12, the consumption section corresponding to the products is more than 10, and the coupon information corresponding to the section is a target object with eight discount, or a 20-yuan coupon.
In some optional implementation manners of this embodiment, the coupon of the target object may also be updated according to the attribute information of the commodity. For example, the larger the user consumption amount is, the greater the coupon strength is, and the specific coupon information of the coupon can be updated correspondingly according to the change of the user consumption amount; for another example, the earlier the order placing time of the user is, the greater the coupon strength is, and the specific coupon information of the coupon can be updated correspondingly according to the order placing time of the user. Therefore, the consumption can be pulled, the service can be promoted, and the consumers can be attracted.
And step 205, controlling a payment page to display the advertisement information.
The payment page is displayed on the terminal equipment, and the server sends the advertisement information to the terminal equipment so that the terminal equipment displays the advertisement information to the user.
The payment page may be provided with a small window to display the advertisement information in a two-dimensional manner, and the displayed advertisement information may have a dynamic playing effect, and of course, the displayed advertisement information may also be static, and may include pictures, audio, video, and the like.
It can be understood that, since the area of the payment page is limited by the size of the terminal device screen, the window of the advertisement information displayed on the payment page is generally small, so that the display of the advertisement information is limited.
Therefore, in some optional implementations of this embodiment, the controlling the payment page to display the advertisement information further includes: and controlling the advertisement information to be displayed on the polyhedral face of the payment page, wherein the payment page is provided with at least one polyhedron.
When only one piece of advertisement information exists, the advertisement information can be displayed on each face of the polyhedron, and the content of the advertisement information displayed on each face can be the same or different. When the displayed contents are different, each face of the polyhedron displays different constituent elements of the advertisement information, for example, a first face is the name, the manufacturer, the production time, the constituent raw materials and the like of the target object corresponding to the advertisement information, a second face is preferential information of the target object corresponding to the advertisement information, a third face is the merchant address and the purchase mode of the target object corresponding to the advertisement information, and a fourth face is the historical purchase record of the target object corresponding to the advertisement information.
When a plurality of pieces of advertisement information exist, different pieces of advertisement information can be displayed on different faces of the polyhedron.
It is worth mentioning that, by default, a first side of the polyhedron is displayed on the screen of the terminal device, the first side is a page that the user will see first, and the first side displays the advertisement information of the target object corresponding to the optimal recommendation result. The user may operate the screen of the terminal device to control the turning of the polyhedron, for example, when the user slides a finger leftwards on the screen, the polyhedron is turned from the first side to the second side, the user may also control the turning of the polyhedron by voice, or control the turning of the polyhedron by a gesture, and so on. The setting of the turning-over of the polyhedron may be specifically set according to the preference of the user, and is not specifically limited herein.
In some optional implementations of this embodiment, the polyhedron has a rotation effect, that is, the polyhedron can rotate automatically and rotate sequentially from the first face to the second face and then to the third face. The controlling advertisement information to be displayed on the face of the polyhedron of the payment page includes: the advertisement information is hidden on the surface of the polyhedron; and when the operation behavior of the user on the surface of the polyhedron is acquired, controlling the surface corresponding to the operation behavior to display the hidden advertisement information. In this embodiment, the advertisement information is not directly displayed to the user, and the advertisement information corresponding to the surface is revealed only after the user operates the surface of the polyhedron, so that the enthusiasm of the user for opening the advertisement information is increased, and the user is full of fun.
The operation behavior of the user on the surface of the polyhedron comprises clicking an operation interface or swiping a finger across the operation interface.
The advertisement information may be hidden by covering a layer of mosaic on an interface of the advertisement information, and at this time, the operation behavior may be that a user slides a finger on the operation interface to scratch off the mosaic layer in a manner similar to a scratch-off manner, and finally the advertisement information is exposed.
The hidden advertisement information may be coupons with different denominations, and when the user triggers display of a certain advertisement information, rendering effects may be added to the screen, for example, the advertisement information revealed by the user is a coupon with maximum strength of a target object corresponding to the advertisement information, and at this time, rendering effects such as "flower spreading", "sound applause" and the like may be added to the screen, so as to create a winning atmosphere and promote consumption behavior of the user.
In some optional implementations of this embodiment, the polygon may be controlled to rotate by a user in addition to the automatic rotation, for example, if the user says "start", at which time the polygon starts to rotate, and if the user says "pause", the polygon stops rotating.
Compared with the prior art, the embodiment has the advantages that the mode for displaying the advertisement information is arranged on the payment page, so that the interestingness is stronger, consumers can be attracted to actively acquire the advertisement information, and the consumption is promoted.
In some optional implementations of this embodiment, referring to fig. 5, the method further includes:
step 206, obtaining historical operation behaviors of the user on the advertisement information on the payment page, wherein the historical operation behaviors comprise clicking and collecting.
And step 207, acquiring the advertisement information with the maximum click times or the advertisement information with the maximum collection.
And 208, adjusting the advertisement information displayed on the payment page according to the advertisement information with the maximum click times or the advertisement information with the maximum collection.
In the embodiment, the advertisement information displayed on the payment page is adjusted according to the historical operation behavior of the user on the advertisement information. The advertisement information displayed on the payment page is adjusted to the advertisement information with the maximum click times or the maximum collection.
In some optional implementation manners of this embodiment, the historical operation behavior may be considered together with the category of the product currently purchased by the user and the historical consumption information of the user, and a preset recommendation algorithm may be adopted to recommend the optimal advertisement information to the user.
In some optional implementations of this embodiment, referring to fig. 6, the method further includes:
And step 210, judging whether the advertisement information meets the health requirement of the user according to the physiological data.
Judging whether the advertisement information meets the health requirements of the user or not comprises extracting keywords of the advertisement information, wherein when the keywords comprise preset sensitive words, the advertisement information does not meet the health requirements of the user, otherwise, the health requirements of the user are met. The sensitive words include fried, high fat, high sugar, ice, spicy, surprise, irritation, and the like. The sensitive vocabulary can be preset by the server system, can also be set by the user according to personal preference, and can also be periodically updated.
When the health requirement of the user is not satisfied, the following step 211 is performed.
And step 211, adjusting the advertisement information displayed on the payment page.
The adjusted advertisement information may be advertisement information meeting the health requirement of the user, or other advertisement information.
For example, when the gender of the user is female, the physiological data may be menstrual period data of the user, the current payment completion time coincides with the menstrual period time of the user, and the recommended advertisement information relates to pungent contents such as hot and cold drinks (for example, a coupon of an ice cream type), the recommended advertisement information does not meet the health requirement of the user, and the recommended advertisement information may be adjusted, for example, the advertisement information recommending a hot and brown sugar type drink to the user, and the like.
In some optional implementation manners of this embodiment, the physiological data may be considered together with the category of the commodity currently purchased by the user, the historical consumption information of the user, and the historical operation behavior of the user on the advertisement information on the payment page, and a preset recommendation algorithm may be adopted to recommend the optimal advertisement information for the user.
The embodiment of the application provides an advertisement recommendation method, which comprises the steps of obtaining the category of a commodity purchased by a user at present after a payment operation completion instruction is detected, obtaining historical consumption information of the user, determining a target object according to the category of the commodity and the historical consumption information, regenerating advertisement information of the target object, and finally displaying the advertisement information on a payment page, so that the purpose of recommending the advertisement information to the user is achieved. According to the method and the system for recommending the advertisements, the advertisements are recommended to the users on the payment page according to the commodities purchased by the users at present and the historical consumption information of the users, the recommended advertisements are strong in pertinence, and the requirements of the users can be met better.
Referring to fig. 7, fig. 7 is a schematic structural diagram of an advertisement recommendation device according to an embodiment of the present application, and as shown in the drawing, the device 300 includes: a first obtaining module 301, a second obtaining module 302, a first determining module 303, a first generating module 304 and a first recommending module 305.
The first obtaining module 301 is configured to obtain a category of a commodity currently purchased by a user after detecting a payment operation completion instruction; a second obtaining module 302, configured to obtain historical consumption information of the user; a first determining module 303, configured to determine a target object according to the category of the commodity and the historical consumption information; a first generating module 304, configured to generate advertisement information of the target object; a first recommending module 305, configured to control a payment page to display the advertisement information, so as to recommend the advertisement information to the user.
Referring to fig. 7, the first determining module 303 includes: a first acquisition unit 3031, a second acquisition unit 3032, a first determination unit 3033, and a second determination unit 3034. A first obtaining unit 3031, configured to obtain, according to the historical consumption information, a merchant list of the user historical high-frequency consumption and a geographical location of the high-frequency consumption; a second obtaining unit 3032, configured to obtain a current consumption geographic location of the user; a first determining unit 3033, configured to determine a first target object according to the geographic location of the current consumption of the user, the merchant list of the historical high-frequency consumption of the user, and the geographic location of the high-frequency consumption, where the first target object includes at least one merchant; a second determining unit 3034, configured to determine the target object according to the first target object and the category of the product.
The second determining unit 3034 is specifically configured to: screening the first target object according to the category of the commodity to obtain a target merchant; and searching for the commodities with the same or similar categories as the commodities in the target merchant, wherein the commodities are the target objects.
Referring to fig. 7 as well, the first generating module 304 includes: a third acquisition unit 3041, a fourth acquisition unit 3042, and a first generation unit 3043. A third obtaining unit 3041, configured to obtain offer information of the target object; a fourth obtaining unit 3042, configured to obtain attribute information of the currently purchased product, where the attribute information includes: consumption amount, ordering time and commodity quantity; a first generating unit 3043, configured to generate a coupon for the target object according to the coupon information and the attribute information.
Wherein the first generating unit 3043 is specifically configured to: determining a consumption interval corresponding to the attribute information; and acquiring the discount information of the consumption interval so as to generate the discount coupon of the target object.
The first recommending module 305 is specifically configured to control the advertisement information to be displayed on a polyhedral surface of a payment page, so as to recommend the advertisement information to the user, where the payment page is provided with at least one polyhedron.
In some optional implementations of this embodiment, the polyhedron has a rotation effect, and the first recommending module 305 is specifically configured to: the advertisement information is hidden on the surface of the polyhedron; and when the operation behavior of the user on the surface of the polyhedron is acquired, controlling the surface corresponding to the operation behavior to display the hidden advertisement information, so that the advertisement information is recommended to the user.
In some optional implementations of the present embodiment, referring to fig. 7 as well, the apparatus 300 further includes a third obtaining module 306, a fourth obtaining module 307, and a first adjusting module 308. A third obtaining module 306, configured to obtain historical operation behaviors of the user on the advertisement information on the payment page, where the historical operation behaviors include clicking and collecting; a fourth obtaining module 307, configured to obtain advertisement information with the largest number of clicks or advertisement information with the largest collection; the first adjusting module 308 is configured to adjust the advertisement information displayed on the payment page according to the advertisement information with the largest number of clicks or the advertisement information with the largest collection.
In some optional implementation manners of this embodiment, referring to fig. 7 as well, the apparatus 300 further includes a fifth obtaining module 309, a first determining module 310, and a second adjusting module 311. A fifth obtaining module 309, configured to obtain physiological data of the user; a first judging module 310, configured to judge whether the advertisement information meets the health requirement of the user according to the physiological data; and a second adjusting module 311, configured to adjust the advertisement information displayed on the payment page if the payment page is not the payment page.
It should be noted that, for the information interaction, execution process, and other contents between the modules in the apparatus, the specific contents may refer to the description in the method embodiment of the present application because the same concept is based on the method embodiment of the present application, and are not described herein again.
The embodiment of the application provides an advertisement recommendation device, which acquires the category of a commodity purchased by a user at present and historical consumption information of the user after a payment operation completion instruction is detected, then determines a target object according to the category of the commodity and the historical consumption information, regenerates advertisement information of the target object, and finally displays the advertisement information on a payment page, thereby achieving the purpose of recommending the advertisement information to the user. According to the method and the system for recommending the advertisements, the advertisements are recommended to the users on the payment page according to the commodities purchased by the users at present and the historical consumption information of the users, the recommended advertisements are strong in pertinence, and the requirements of the users can be met better.
Referring to fig. 8, fig. 8 is a schematic hardware structure diagram of an electronic device 400 for executing the advertisement recommendation method according to an embodiment of the present application, and as shown in fig. 8, the electronic device 400 includes:
one or more processors 401 and a memory 402, one processor 401 being exemplified in fig. 8.
The processor 401 and the memory 402 may be connected by a bus or other means, such as the bus connection in fig. 8.
The memory 402, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules (e.g., the modules shown in fig. 7) corresponding to the advertisement recommendation method in the embodiment of the present application. The processor 401 executes various functional applications and data processing of the server by running nonvolatile software programs, instructions and modules stored in the memory 402, so as to implement the advertisement recommendation method of the above method embodiment.
The memory 402 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the advertisement recommendation device, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 402 may optionally include memory located remotely from the processor 401, which may be connected to the advertisement recommendation device via a network. Examples of such networks include, but are not limited to, the internet, 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, perform the advertisement recommendation method in any of the method embodiments described above, e.g., perform the method steps of fig. 2-6 described above, and implement the functions of the modules and units in fig. 7.
The product can execute the method provided by the embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the methods provided in the embodiments of the present application.
The electronic device of the embodiments of the present application exists in various forms, including but not limited to:
(1) the server is similar to a general computer architecture, but has higher requirements on processing capability, stability, reliability, safety, expandability, manageability and the like because of the need of providing highly reliable services.
(2) And other electronic devices with data interaction functions.
Embodiments of the present application provide a non-transitory computer-readable storage medium storing computer-executable instructions that are executed by one or more processors, for example, to perform the method steps of fig. 2-6 described above, to implement the functions of the modules and units in fig. 7.
Embodiments of the present application provide a computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions that, when executed by a computer, cause the computer to perform an advertisement recommendation method in any of the above-described method embodiments, for example, to perform the method steps of fig. 2 to 6 described above, and to implement the functions of the modules and units in fig. 7.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a general hardware platform, and certainly can also be implemented by hardware. It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a computer readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; within the context of the present application, where technical features in the above embodiments or in different embodiments can also be combined, the steps can be implemented in any order and there are many other variations of the different aspects of the present application as described above, which are not provided in detail for the sake of brevity; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (21)
1. An advertisement recommendation method, the method comprising:
after a payment operation completion instruction is detected, acquiring the category of a commodity purchased by a user at present;
acquiring 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;
and controlling a payment page to display the advertisement information.
2. The method of claim 1, wherein determining a target object based on the category of the good and the historical consumption information comprises:
acquiring a merchant list of the user historical high-frequency consumption and a geographical position of the high-frequency consumption according to the historical consumption information;
acquiring the current consumption geographic position of the user;
determining a first target object according to the geographical position of current consumption of the user, a merchant list of historical high-frequency consumption of the user and the geographical position of high-frequency consumption, wherein the first target object comprises at least one merchant;
and determining the target object according to the first target object and the category of the commodity.
3. The method of claim 2, wherein said determining the target object based on the first target object and the category of the item comprises:
screening the first target object according to the category of the commodity to obtain a target merchant;
and searching for the commodities with the same or similar categories as the commodities in the target merchant, wherein the same or similar commodities are the target object.
4. The method of claim 1, wherein the generating advertisement information for the target object comprises:
acquiring the discount information of the target object;
acquiring attribute information of the currently purchased commodity, wherein the attribute information comprises: consumption amount, ordering time and commodity quantity;
and generating a coupon of the target object according to the discount information and the attribute information.
5. The method of claim 4, wherein the generating the coupon for the target object according to the offer information and the attribute information comprises:
determining a consumption interval corresponding to the attribute information;
and acquiring the discount information of the consumption interval to generate the discount coupon of the target object.
6. The method of claim 1, wherein the controlling the payment page to display the advertisement information specifically comprises:
and controlling the advertisement information to be displayed on the polyhedral face of the payment page, wherein the payment page is provided with at least one polyhedron.
7. The method of claim 6, wherein the polyhedron has a rotation effect, and the control advertisement information is shown on a face of the polyhedron of the payment page, comprising:
the advertisement information is hidden on the surface of the polyhedron;
and when the operation behavior of the user on the surface of the polyhedron is acquired, controlling the surface corresponding to the operation behavior to display the hidden advertisement information.
8. The method according to any one of claims 1 to 7, further comprising:
acquiring historical operation behaviors of the user on the advertisement information on the payment page, wherein the historical operation behaviors comprise clicking and collecting;
acquiring advertisement information with the most clicks or advertisement information with the most collections;
and adjusting the advertisement information displayed on the payment page according to the advertisement information with the maximum click times or the advertisement information with the maximum collection.
9. The method according to any one of claims 1 to 8, further comprising:
acquiring physiological data of the user;
judging whether the advertisement information meets the health requirements of the user or not according to the physiological data;
if not, adjusting the advertisement information displayed on the payment page.
10. An advertisement recommendation apparatus, characterized in that the apparatus comprises:
the first acquisition module is used for acquiring the category of the commodity purchased by the user at present after the payment operation completion instruction is detected;
the second acquisition module is used for acquiring historical consumption information of the user;
the first determining module is used for determining a target object according to the category of the commodity and the historical consumption information;
the first generation module is used for generating the advertisement information of the target object;
and the first recommending module is used for controlling the payment page to display the advertisement information.
11. The apparatus of claim 10, wherein the first determining module comprises:
the first acquisition unit is used for acquiring a merchant list of the user historical high-frequency consumption and a geographical position of the high-frequency consumption according to the historical consumption information;
the second acquisition unit is used for acquiring the current consumption geographic position of the user;
the first determining unit is used for determining a first target object according to the current consumption geographic position of the user, the historical high-frequency consumption merchant list of the user and the high-frequency consumption geographic position, wherein the first target object comprises at least one merchant;
a second determination unit configured to determine the target object according to the first target object and the category of the commodity.
12. The apparatus 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;
and searching for the commodities with the same or similar categories as the commodities in the target merchant, wherein the same or similar commodities are the target object.
13. The apparatus of claim 10, wherein the first generating module comprises:
a third obtaining unit, configured to obtain discount information of the target object;
a fourth obtaining unit, configured to obtain attribute information of the currently purchased product, where the attribute information includes: consumption amount, ordering time and commodity quantity;
and the first generating unit is used for generating a coupon of the target object according to the discount information and the attribute information.
14. The apparatus according to claim 13, wherein the first generating unit is specifically configured to:
determining a consumption interval corresponding to the attribute information;
and acquiring the discount information of the consumption interval to generate the discount coupon of the target object.
15. The apparatus of claim 10, wherein the first recommendation module is specifically configured to:
and controlling the advertisement information to be displayed on the polyhedral face of the payment page, wherein the payment page is provided with at least one polyhedron.
16. The apparatus according to claim 15, wherein the polyhedron has a rotation effect, the first recommending module being specifically configured to:
the advertisement information is hidden on the surface of the polyhedron;
and when the operation behavior of the user on the surface of the polyhedron is acquired, controlling the surface corresponding to the operation behavior to display the hidden advertisement information.
17. The apparatus of any one of claims 10 to 16, further comprising:
the third acquisition module is used for acquiring historical operation behaviors of the user on the advertisement information on the payment page, wherein the historical operation behaviors comprise clicking and collecting;
the fourth acquisition module is used for acquiring the advertisement information with the maximum click times or the advertisement information with the maximum collection;
and the first adjusting module is used for adjusting the advertisement information displayed on the payment page according to the advertisement information with the maximum click times or the advertisement information with the maximum collection.
18. The apparatus of any one of claims 10 to 17, further comprising:
a fifth obtaining module, configured to obtain physiological data of the user;
the first judgment module is used for judging whether the advertisement information meets the health requirement of the user or not according to the physiological data;
and the second adjusting module is used for adjusting the advertisement information displayed on the payment page if the payment page is not the payment page.
19. An electronic device, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-9.
20. A non-transitory computer-readable storage medium having stored thereon computer-executable instructions that, when executed by an electronic device, cause the electronic device to perform the method of any of claims 1-9.
21. A computer program product, characterized in that the computer program product comprises a computer program stored on a non-volatile computer-readable storage medium, the computer program comprising program instructions that, when executed by an electronic device, cause the electronic device to perform the method of any of claims 1-9.
Applications Claiming Priority (1)
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| PCT/CN2019/089951 WO2020243894A1 (en) | 2019-06-04 | 2019-06-04 | Advertisement recommending method and apparatus, and electronic device |
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| CN111699503A true CN111699503A (en) | 2020-09-22 |
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| WO (1) | WO2020243894A1 (en) |
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Application publication date: 20200922 |