CN113704607A - Recommendation and display method and device and electronic equipment - Google Patents

Recommendation and display method and device and electronic equipment Download PDF

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CN113704607A
CN113704607A CN202110989449.5A CN202110989449A CN113704607A CN 113704607 A CN113704607 A CN 113704607A CN 202110989449 A CN202110989449 A CN 202110989449A CN 113704607 A CN113704607 A CN 113704607A
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commodity
preset
elements
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CN113704607B (en
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胡凯赫
陈志成
杨璐威
杨钰媛
高海宁
孙禄永
沈琪
李寿铉
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Hangzhou Alibaba Overseas Internet Industry Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9538—Presentation of query results
    • 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
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
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    • G06Q30/0625—Directed, with specific intent or strategy
    • G06Q30/0627—Directed, with specific intent or strategy using item specifications
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    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Item recommendations
    • 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
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0641—Shopping interfaces
    • G06Q30/0643—Graphical representation of items or shoppers

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Abstract

The embodiment of the invention provides a recommendation and display method, a recommendation and display device and electronic equipment. The recommendation method comprises the following steps: acquiring alternative description elements of a plurality of preset commodity description areas corresponding to a target commodity; determining recommendation description elements of the preset commodity description areas from the alternative description elements of the preset commodity description areas respectively; and recommending the target commodity according to the respective recommended description elements of the plurality of preset commodity description areas. The scheme of the embodiment of the invention ensures the display efficiency and the recommendation flexibility.

Description

Recommendation and display method and device and electronic equipment
Technical Field
The embodiment of the invention relates to the technical field of computers, in particular to a recommendation and display method, a recommendation and display device and electronic equipment.
Background
Generally, in various e-commerce services, such as Business-to-Business (B2B), there are large differences compared to Business-to-Business (B2C), for example, the former has a much smaller traffic scale and a high uncertainty of goods.
Due to the different points between B2B and B2C, the background of the electronic commerce cannot make efficient recommendations, and the display efficiency of the commodity information in the client interface is low.
Disclosure of Invention
In view of the above, embodiments of the present invention provide a recommendation method, a recommendation device, a recommendation display method, and an electronic device, so as to at least partially solve the above problems.
According to a first aspect of the embodiments of the present invention, there is provided a recommendation method, including: acquiring alternative description elements of a plurality of preset commodity description areas corresponding to a target commodity; determining recommendation description elements of the preset commodity description areas from the alternative description elements of the preset commodity description areas respectively; and recommending the target commodity according to the respective recommended description elements of the plurality of preset commodity description areas.
According to a second aspect of the embodiments of the present invention, there is provided a display method, including: acquiring recommendation description elements of a plurality of preset commodity description areas corresponding to a target commodity, wherein the recommendation description elements are respectively determined from alternative description elements of the preset commodity description areas; and displaying the target commodity in the commodity cards where the preset commodity description areas are located.
According to a third aspect of the embodiments of the present invention, there is provided a recommendation apparatus including: the acquisition module is used for acquiring alternative description elements of a plurality of preset commodity description areas corresponding to the target commodity; the determining module is used for determining the recommended description elements of the preset commodity description areas from the alternative description elements of the preset commodity description areas respectively; and the recommending module recommends the target commodity according to the respective recommending description elements of the plurality of preset commodity description areas.
According to a fourth aspect of the embodiments of the present invention, there is provided a display apparatus, including: the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring recommendation description elements of a plurality of preset commodity description areas corresponding to a target commodity, and the recommendation description elements are respectively determined from alternative description elements of the preset commodity description areas; and the display module is used for displaying the target commodity in the commodity cards where the preset commodity description areas are located.
According to a fifth aspect of embodiments of the present invention, there is provided an electronic apparatus, including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus; the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the corresponding operation of the method according to the first aspect or the second aspect.
According to a sixth aspect of embodiments of the present invention, there is provided a computer storage medium having stored thereon a computer program which, when executed by a processor, implements a method according to the first or second aspect.
In the scheme of the embodiment of the invention, the recommendation description elements of the preset commodity description areas are respectively determined from the alternative description elements of the preset commodity description areas, and independent recommendation of each preset commodity description area is realized, so that the consistency of the display areas is improved due to the fact that the target commodity comprises the preset commodity description areas, and the recommendation flexibility is ensured while the display efficiency is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the embodiments of the present invention, and it is also possible for a person skilled in the art to obtain other drawings based on the drawings.
FIG. 1 is a flow diagram of the steps of a recommendation method according to one embodiment of the invention;
FIG. 2A is an interface diagram of a user interface according to another embodiment of the invention;
FIG. 2B is an interface diagram of a recommendation operating interface according to another embodiment of the present invention;
FIG. 2C is an interface diagram of a user interface according to another embodiment of the present invention;
FIG. 3 is a flow chart of the steps of a recommendation method according to another embodiment of the present invention;
FIG. 4 is a flow chart showing the steps of a method according to another embodiment of the present invention;
FIG. 5 is a block diagram of a recommender according to another embodiment of the present invention;
FIG. 6 is a block diagram of a structure showing a device according to another embodiment of the invention; and
fig. 7 is a schematic structural diagram of an electronic device according to another embodiment of the invention.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments of the present invention shall fall within the scope of the protection of the embodiments of the present invention.
The following further describes specific implementation of the embodiments of the present invention with reference to the drawings.
FIG. 1 is a flow diagram of the steps of a recommendation method according to one embodiment of the invention. The scheme of the embodiment of the invention is suitable for any device with data processing capability, such as a desktop computer. The recommendation method of fig. 1 includes:
s110: and acquiring alternative description elements of a plurality of preset commodity description areas corresponding to the target commodity.
It should be understood that the target item may be a type of item or a group of items, or may be an item. One type of merchandise does not necessarily belong to a particular category, one type of merchandise may be a group of merchandise for display in the same display scene, and the display scene may be a user interface or a particular display area of the user interface, for example, a recommended display area.
It should also be understood that the plurality of predefined item description areas include a cover area, a base information area, a key decision information area, a value and benefit manufacturing area, an aid decision information area, an action point area, and a special area in the user interface.
It should also be understood that the description elements may also be referred to as elements (as described below), i.e., the recommendation description elements may be referred to as recommendation elements and the alternative description elements may be referred to as alternative elements.
S120: and determining recommendation description elements of the preset commodity description areas from the alternative description elements of the preset commodity description areas respectively.
It should be understood that the same or different recommendation algorithms may be used to determine, for each candidate description element of the preset commodity description area, a recommended description element of the preset commodity description area. When the target commodity is a plurality of commodities, a specific recommendation algorithm is adopted for each commodity, and a recommendation description element of a specific preset commodity description area is independently determined from alternative description elements of the specific preset commodity description area of the commodity.
S130: and recommending the target commodity according to the respective recommendation description elements of the plurality of preset commodity description areas.
It should be understood that the recommendation description element may be associated with the target item, generated as a specific file, and transmitted to the terminal device presenting the user interface. And the client software of the terminal equipment can analyze the file and render the recommended description elements into each preset commodity description area for display.
In other words, a plurality of description elements can be selected for each preset commodity description area to make a candidate for the recommendation algorithm. The system may generate a file associated with the schema identification. And calling a recommendation service interface of the user interface by the user page by carrying the scheme identifier to obtain data required by rendering.
In the scheme of the embodiment of the invention, the recommendation description elements of the preset commodity description areas are respectively determined from the alternative description elements of the preset commodity description areas, and independent recommendation of each preset commodity description area is realized, so that the consistency of the display areas is improved due to the fact that the target commodity comprises the preset commodity description areas, and the recommendation flexibility is ensured while the display efficiency is ensured.
In addition, the visual experience of the user interface is effectively guaranteed by the arrangement of the preset commodity description areas.
In addition, data and algorithm training results of a plurality of scenes can be shared and reused to determine recommendation description elements of a plurality of preset commodity description areas to recommend efficiency problems (for example, solving a small flow cold start problem).
In addition, a large number of combinations of the alternative description elements of the preset commodity description areas are provided, and the development space of the recommendation algorithm is improved.
In addition, the recommendation description elements of the preset commodity description areas realize recommendation of the characteristics and the advantage information of the target commodity, and the problem of low commodity selling point coverage is effectively solved.
Fig. 2A is an interface diagram of a user interface according to another embodiment of the invention. As shown in the figure, the commodity card of the "T-shirt" includes a plurality of preset commodity description areas, such as a basic information area 1, a basic information area 2, a key decision information area, and a value area. The basic information area 1 and the basic information area 2, which are exemplarily shown, may be respectively used as one area, and may also be shown as one area. The basic information area 1 shows a picture of the product, and the basic information area 2 shows a name of the product. The key decision information area shows the transaction characteristics of the commodity, such as selling points of 'free refund within 3 months', 'stock saving' and the like. The value area shows the value of each commodity, for example, the current value is "99.99 dollars".
In another implementation manner, the obtaining of the alternative description elements of each of the preset commodity description areas corresponding to the target commodity includes: acquiring a plurality of commodity description material libraries corresponding to a plurality of preset commodity description areas; and selecting alternative description elements which accord with the transaction characteristics of the target commodity from the plurality of commodity description material libraries. Since the commodity description material library comprises description elements with various transaction characteristics, the transaction characteristics of the target commodity are often changed in real time and have uncertainty, and the flexibility of alternative description elements is improved by selecting in the commodity description material library.
In another implementation manner, determining recommended description elements of a plurality of preset commodity description areas from alternative description elements of the plurality of preset commodity description areas respectively includes: respectively determining the respective alternative description element sequences of a plurality of preset commodity description areas by adopting a preset recommendation algorithm; and determining recommended description elements in accordance with the respective preset number of the plurality of preset commodity description areas according to the respective alternative description element sequences of the plurality of preset commodity description areas. The sequencing sequence obtained by independently sequencing each preset commodity description area reflects the recommendation value of each alternative description element, so that the recommendation efficiency is improved.
Specifically, the preset number may be set for each preset commodity description area to ensure that the recommendation algorithm can multiplex the data and training results of the elements. The recommendation algorithm needs each alternative description element (for example, alternative element) to belong to one region, and the recommendation algorithm recommends in the alternative elements selected in the same region, and the alternative elements in different regions do not affect each other. As an example, the other areas, except for the basic information area and the value area, may support a preset number of the areas. In other words, the basic information area and the value area may include all of the basic information and the value information, respectively. By the mode, the display range of the preset commodity description area is expanded, more description elements with the same action are arranged in the same area, and meanwhile, the combination and competition of the description elements can be more flexible, and the appeal of each transaction scene can be better met.
In another implementation manner, the determining, by the sorting of the respective alternative description elements according to the multiple preset commodity description areas, the recommended description elements that meet the respective preset number of the multiple preset commodity description areas includes: and determining the recommended description elements which are matched with the alternative description elements of the first preset commodity description area in an ordered manner according to the preset number. The preset quantity reflects the data volume displayed in each preset commodity description area, so that more valuable information can be displayed at the client while the display efficiency is ensured.
In other implementation manners, determining, according to the preset number, a recommended description element that is ranked and matched with the alternative description element in the first preset commodity description area includes: according to the residual quantity excluding the specified recommended description elements in the preset quantity; determining other recommended description elements which are matched with the alternative description elements of the first preset commodity description area in an ordered manner according to the residual quantity; the specified recommendation description element and the remaining recommendation description elements are determined as recommendation description elements. Because the recommendation description elements are assigned, the condition that the recommendation result is inaccurate due to the limitation of sample data and the limitation of the algorithm in the data processing process of the recommendation algorithm is avoided, and the flexibility and the accuracy of the display of the recommendation description elements are improved.
Specifically, the service scenario may perform forced intervention with the candidate description element of the specific preset commodity description area, and make one appear as the recommended description element. The description elements that are forced to intervene, regardless of the algorithm recommendations, must appear on the merchandise card in the user interface.
In other implementation manners, the determining, by the target product, a recommended description element that meets a preset number of each of the preset product description areas according to the respective alternative description element ranks of the preset product description areas includes: judging whether the display characteristics of the target commodity are matched with alternative description elements of a preset commodity description area or not; and if not, degrading the sequence of the alternative description elements of the preset commodity description area until the display characteristics of the target commodity are matched with the alternative description elements of the preset commodity description area. The target commodity can be one or more commodities, and the matching between the display characteristics of the target commodity and the alternative description elements in the preset commodity description area can be realized through data processing, so that the display accuracy is improved. In addition, the alternative description elements can be acquired aiming at a group of commodities, and the acquisition efficiency of the alternative description elements is improved.
Specifically, if the description element sets demotion and the goods field meets the rendering requirements of the user interface of the demotion element, the demotion element is rendered at this point. If the commodity field does not satisfy the rendering of the degraded elements, the degraded elements are recursed until the degraded description elements are not found. For example, the algorithm decides to show a "discounted interval price element," and for goods without discounts, renders a downgraded element, i.e., an "interval price element," of the "discounted interval price element. In addition, the recommendation algorithm may rank each alternative description element in the selected alternative description element set, and if the description element ranked in the front cannot be rendered and there is no degraded description element, the rank is supplemented in the rear. For example: the operation selects 'date of sending goods', 'browsing amount', 'amount of orders' and 'sales amount' as a complete set, and the sequence after the algorithm is ordered is as follows: "amount of orders", "amount of browsing", "date of issue", and "amount of sales", if the number of orders for the product cannot be obtained, the "amount of browsing" is used as a substitute.
In another implementation manner, determining recommended description elements of a plurality of preset commodity description areas from alternative description elements of the plurality of preset commodity description areas respectively includes: for each preset commodity description area, excluding mutually exclusive description elements in the alternative description elements, wherein the mutually exclusive description elements indicate a plurality of description elements of which the respective description ranges have inclusion relations; and determining a recommendation description element of each preset commodity description area from the alternative description elements excluding the mutual exclusion description elements in each preset commodity description area. By excluding the mutually exclusive description elements, the display of a plurality of description elements with inclusion relation in respective description ranges at the client is avoided, the display efficiency is improved, and the user experience is improved.
An interface diagram of a recommendation operation interface according to another embodiment of the present invention will be illustrated and described with reference to fig. 2B. Fig. 2B shows an example of a preset commodity description area, which may be any one of a key decision information area, a value and benefit making area, an assistant decision information area, an action point area, and a special area. A plurality of alternative description elements, namely, alternative elements A-O, are shown in the preset merchandise description area. FIG. 2B also shows mutually exclusive groups 1-3. Wherein, the description elements in each mutually exclusive group are a plurality of description elements indicating that the respective description ranges have inclusion relationship.
Specifically, the information in the mutually exclusive group is homogeneous information or staircase information. Homogeneous information refers to the situation where the information provided is the same and different in style. For example: the sampling supporting element and the sampling supporting element are highlighted, and the main information of the sampling supporting element is 'sampling supporting', the difference is that one is a common pattern and the other is a highlight pattern, so that the sampling supporting element and the sampling supporting element belong to the same mutual exclusion group, and the algorithm recommendation can ensure that the two elements do not appear simultaneously. The ladder information may be information of a progressive relationship. For example, the fast recovery element and the lightning recovery element indicate that the merchant recovers within 1 hour on average, and the lightning recovery element indicates that the merchant recovers within 30 minutes on average, and because the fast recovery element and the lightning recovery element belong to the same mutual exclusion group due to different information, the fast recovery element and the lightning recovery element are recommended by the algorithm and ensure that the fast recovery element and the lightning recovery element do not occur simultaneously.
For example, mutually exclusive set 1 shows alternate element A, illustrating that no mutually exclusive elements from A exist among the various alternate elements. Mutually exclusive group 2 shows alternative elements E-G illustrating that, among the various alternative elements, alternative elements E-G are mutually exclusive of each other. Mutually exclusive set 3 shows alternative elements M and N illustrating that in each alternative element, alternative elements M and N are mutually exclusive of each other.
In other implementation manners, the recommending the target commodity according to the recommendation description element of each of the plurality of preset commodity description areas includes: and recommending the first commodity and the second commodity according to the recommended description elements of the preset commodity description areas, so that no mutually exclusive description element exists between the recommended description element of the first commodity and the recommended description element of the second commodity. Because the mutual exclusion description elements do not exist between the recommendation description elements of the first commodity and the second commodity which are different commodities, the display consistency is improved, and the display efficiency is improved.
Specifically, in one visit of the user, the mutual exclusion effect of the description elements within the mutually exclusive group is effective for a plurality of commodities. If the description element A and the description element B are in a mutually exclusive group, the description element A appears in a specific preset commodity description area of a first commodity (an example of the first commodity), and the description element A can only be displayed in specific preset commodity description areas of other commodities (examples of second commodities).
Further, for areas such as the base information area and the value area, it may be allowed to simultaneously present description elements within mutually exclusive groups, e.g., a particular element and a degraded element of the particular element. For example, simultaneous display of discount and normal value elements is permitted.
A user interface according to another embodiment of the present invention will be illustrated and described below in conjunction with fig. 2C. The user interface in fig. 2C shows four items of merchandise, including a first row of "T-shirts" and "baseball caps" and a second row of "T-shirts", it being understood that in this example, the description is made only with reference to a first row of "T-shirts" and "baseball caps", and the merchandise information for the second row is not all shown.
First, both items of merchandise in the first row include a presentation of a basic information area 1 (picture) and a basic information area 2 (item name). Secondly, the value area and the key decision information area of the two commodities, namely the T-shirt and the baseball cap, have different contents and display modes. Specifically, one value information is shown in the value area of "T-shirt". Two pieces of value information, namely, the value of the standard and the discount value, are shown in the "baseball cap". In addition, in this example, the key decision information fields of both items show the selling point information, and the selling point of "T-shirt" includes "free refund within 3 months". The selling points of "baseball caps" include "irreplaceable".
The "T-shirt" and the "baseball cap" may correspond to the first article and the second article, respectively, in the above-described embodiments. It should be understood that the first and second items may be in the same user interface, but may be arranged differently than in the example of FIG. 2C, i.e., the first and second items may be in the same row or column.
Fig. 3 is a flowchart illustrating steps of a recommendation method according to another embodiment of the present invention.
S310: and acquiring a plurality of commodity description material libraries corresponding to a plurality of preset commodity description areas.
S320: and selecting alternative description elements which accord with the transaction characteristics of the target commodity from the plurality of commodity description material libraries.
S330: and respectively determining the respective alternative description element sequences of the plurality of preset commodity description areas by adopting a preset recommendation algorithm.
S340: and according to the residual quantity except the specified recommendation description elements in the preset quantity.
S350: and determining the rest recommended description elements which are matched with the alternative description elements of the first preset commodity description area in an ordered manner according to the rest quantity.
S360: the specified recommendation description element and the remaining recommendation description elements are determined as recommendation description elements.
S370: and recommending the target commodity according to the respective recommendation description elements of the plurality of preset commodity description areas.
Fig. 4 is a flow chart showing the steps of a method according to another embodiment of the present invention. The solution of the embodiment can be applied to any suitable electronic device with data processing capability, including but not limited to mobile terminals such as mobile phones, PADs, car machines, desktop computers, and the like. The display method of FIG. 4 comprises:
s410: acquiring recommendation description elements of a plurality of preset commodity description areas corresponding to a target commodity, wherein the recommendation description elements are respectively determined from alternative description elements of the preset commodity description areas;
s420: and displaying the target commodity in the commodity cards where the preset commodity description areas are located.
In the scheme of the embodiment of the invention, the recommendation description elements of the preset commodity description areas are respectively determined from the alternative description elements of the preset commodity description areas, and independent recommendation of each preset commodity description area is realized, so that the consistency of the display areas is improved due to the fact that the target commodity comprises the preset commodity description areas, and the recommendation flexibility is ensured while the display efficiency is ensured.
Fig. 5 is a block diagram of a recommendation device according to another embodiment of the present invention. The recommendation device of fig. 5 includes:
the obtaining module 510 obtains alternative description elements of each of a plurality of preset commodity description areas corresponding to a target commodity.
The determining module 520 determines recommended description elements of the preset commodity description areas from the alternative description elements of the preset commodity description areas respectively.
The recommending module 530 recommends the target commodity according to the recommendation description elements of the preset commodity description areas.
In the scheme of the embodiment of the invention, the recommendation description elements of the preset commodity description areas are respectively determined from the alternative description elements of the preset commodity description areas, and independent recommendation of each preset commodity description area is realized, so that the consistency of the display areas is improved due to the fact that the target commodity comprises the preset commodity description areas, and the recommendation flexibility is ensured while the display efficiency is ensured.
In other embodiments, the obtaining module is specifically configured to: acquiring a plurality of commodity description material libraries corresponding to a plurality of preset commodity description areas; and selecting alternative description elements which accord with the transaction characteristics of the target commodity from the plurality of commodity description material libraries respectively.
In other embodiments, the determining module is specifically configured to: respectively determining the respective alternative description element sequences of the plurality of preset commodity description areas by adopting a preset recommendation algorithm; and determining recommended description elements according with the respective preset number of the preset commodity description areas according to the respective alternative description element sequences of the preset commodity description areas.
In some other embodiments, the plurality of preset commodity description areas include a first preset commodity description area, the first preset commodity description area has a preset recommended element number, and the determining module is specifically configured to: and determining recommended description elements which are matched with the alternative description elements of the first preset commodity description area in an ordered manner according to the preset number.
In other embodiments, the determining module is specifically configured to: according to the residual quantity excluding the specified recommended description elements in the preset quantity; determining other recommended description elements which are matched with the alternative description elements of the first preset commodity description area in an ordered manner according to the residual quantity; determining the specified recommendation description element and the remaining recommendation description elements as recommendation description elements.
In some embodiments, the target product includes a plurality of products, and accordingly, the determining module is specifically configured to: judging whether the display characteristics of the target commodity are matched with alternative description elements in a preset commodity description area; and if not, degrading the sequence of the alternative description elements of the preset commodity description area until the display characteristics of the target commodity are matched with the alternative description elements of the preset commodity description area.
In other embodiments, the determining module is specifically configured to: for each preset commodity description area, excluding mutually exclusive description elements in the alternative description elements, wherein the mutually exclusive description elements indicate a plurality of description elements of which the respective description ranges have inclusion relations; and determining a recommendation description element of each preset commodity description area from the alternative description elements excluding the mutual exclusion description element in each preset commodity description area.
In other embodiments, the target product includes a first product and a second product based on the same transaction scenario, and accordingly, the recommendation module is specifically configured to: recommending the first commodity and the second commodity according to the recommended description elements of the preset commodity description areas, so that no mutually exclusive description element exists between the recommended description element of the first commodity and the recommended description element of the second commodity.
In other embodiments, the plurality of predetermined product description areas include a cover area, a base information area, a key decision information area, a value and benefit manufacturing area, an auxiliary decision information area, an action point area, and a special area in the user interface.
The apparatus of this embodiment is used to implement the corresponding method in the foregoing method embodiments, and has the beneficial effects of the corresponding method embodiments, which are not described herein again. In addition, the functional implementation of each module in the apparatus of this embodiment can refer to the description of the corresponding part in the foregoing method embodiment, and is not described herein again.
Figure 6 is a block diagram of a structure showing a device according to another embodiment of the invention. The solution of the embodiment can be applied to any suitable electronic device with data processing capability, including but not limited to mobile terminals such as mobile phones, PADs, car machines, desktop computers, and the like. The display device of fig. 6 comprises:
the obtaining module 610 obtains recommendation description elements of a plurality of preset commodity description areas corresponding to a target commodity, where the recommendation description elements are determined from alternative description elements of the preset commodity description areas respectively;
the display module 620 displays the target commodity in the commodity cards where the preset commodity description areas are located.
In the scheme of the embodiment of the invention, the recommendation description elements of the preset commodity description areas are respectively determined from the alternative description elements of the preset commodity description areas, and independent recommendation of each preset commodity description area is realized, so that the consistency of the display areas is improved due to the fact that the target commodity comprises the preset commodity description areas, and the recommendation flexibility is ensured while the display efficiency is ensured.
The apparatus of this embodiment is used to implement the corresponding method in the foregoing method embodiments, and has the beneficial effects of the corresponding method embodiments, which are not described herein again. In addition, the functional implementation of each module in the apparatus of this embodiment can refer to the description of the corresponding part in the foregoing method embodiment, and is not described herein again.
Referring to fig. 7, a schematic structural diagram of an electronic device according to another embodiment of the present invention is shown, and the specific embodiment of the present invention does not limit the specific implementation of the electronic device.
As shown in fig. 7, the electronic device may include: a processor (processor)702, a Communications Interface 704, a memory 706, and a communication bus 708.
Wherein:
the processor 702, communication interface 704, and memory 706 communicate with each other via a communication bus 708.
A communication interface 704 for communicating with other electronic devices or servers.
The processor 702 is configured to execute the program 710, and may specifically execute the relevant steps in the foregoing method embodiments.
In particular, the program 710 may include program code that includes computer operating instructions.
The processor 702 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the present invention. The intelligent device comprises one or more processors which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
The memory 706 stores a program 710. The memory 706 may comprise high-speed RAM memory, and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 710 may specifically be used to cause the processor 502 to perform the following operations: acquiring alternative description elements of a plurality of preset commodity description areas corresponding to a target commodity; determining recommendation description elements of the preset commodity description areas from the alternative description elements of the preset commodity description areas respectively; recommending the target commodity according to the respective recommended description elements of the plurality of preset commodity description areas;
or acquiring recommendation description elements of a plurality of preset commodity description areas corresponding to the target commodity, wherein the recommendation description elements are determined from alternative description elements of the preset commodity description areas respectively; and displaying the target commodity in the commodity cards where the preset commodity description areas are located.
In addition, for specific implementation of each step in the program 710, reference may be made to corresponding steps and corresponding descriptions in units in the foregoing method embodiments, which are not described herein again. It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described devices and modules may refer to the corresponding process descriptions in the foregoing method embodiments, and are not described herein again.
It should be noted that, according to the implementation requirement, each component/step described in the embodiment of the present invention may be divided into more components/steps, and two or more components/steps or partial operations of the components/steps may also be combined into a new component/step to achieve the purpose of the embodiment of the present invention.
The above-described method according to an embodiment of the present invention may be implemented in hardware, firmware, or as software or computer code storable in a recording medium such as a CD ROM, a RAM, a floppy disk, a hard disk, or a magneto-optical disk, or as computer code originally stored in a remote recording medium or a non-transitory machine-readable medium downloaded through a network and to be stored in a local recording medium, so that the method described herein may be stored in such software processing on a recording medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware such as an ASIC or FPGA. It will be appreciated that a computer, processor, microprocessor controller, or programmable hardware includes memory components (e.g., RAM, ROM, flash memory, etc.) that can store or receive software or computer code that, when accessed and executed by a computer, processor, or hardware, implements the methods described herein. Further, when a general-purpose computer accesses code for implementing the methods illustrated herein, execution of the code transforms the general-purpose computer into a special-purpose computer for performing the methods illustrated herein.
Those of ordinary skill in the art will appreciate that the various illustrative elements and method steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present embodiments.
The above embodiments are only for illustrating the embodiments of the present invention and not for limiting the embodiments of the present invention, and those skilled in the art can make various changes and modifications without departing from the spirit and scope of the embodiments of the present invention, so that all equivalent technical solutions also belong to the scope of the embodiments of the present invention, and the scope of patent protection of the embodiments of the present invention should be defined by the claims.

Claims (10)

1. A recommendation method, comprising:
acquiring alternative description elements of a plurality of preset commodity description areas corresponding to a target commodity;
determining recommendation description elements of the preset commodity description areas from the alternative description elements of the preset commodity description areas respectively;
and recommending the target commodity according to the respective recommended description elements of the plurality of preset commodity description areas.
2. The method according to claim 1, wherein the obtaining of the alternative description elements of each of the preset commodity description areas corresponding to the target commodity comprises:
acquiring a plurality of commodity description material libraries corresponding to a plurality of preset commodity description areas;
and selecting alternative description elements which accord with the transaction characteristics of the target commodity from the plurality of commodity description material libraries respectively.
3. The method according to claim 1, wherein the determining the recommended description elements of the plurality of preset commodity description areas from the alternative description elements of the plurality of preset commodity description areas respectively comprises:
respectively determining the respective alternative description element sequences of the plurality of preset commodity description areas by adopting a preset recommendation algorithm;
and determining recommended description elements according with the respective preset number of the preset commodity description areas according to the respective alternative description element sequences of the preset commodity description areas.
4. The method according to claim 3, wherein the plurality of preset article description areas includes a first preset article description area having a preset number of recommended elements,
the determining, according to the respective alternative description element ranks of the plurality of preset commodity description areas, recommended description elements that conform to respective preset numbers of the plurality of preset commodity description areas includes:
and determining recommended description elements which are matched with the alternative description elements of the first preset commodity description area in an ordered manner according to the preset number.
5. The method according to claim 4, wherein the determining, according to the preset number, the recommended description element which is matched with the alternative description element ranking of the first preset commodity description area comprises:
according to the residual quantity excluding the specified recommended description elements in the preset quantity;
determining other recommended description elements which are matched with the alternative description elements of the first preset commodity description area in an ordered manner according to the residual quantity;
determining the specified recommendation description element and the remaining recommendation description elements as recommendation description elements.
6. The method of claim 3, wherein the target item comprises a plurality of items,
correspondingly, the determining, according to the respective alternative description element ranks of the preset commodity description areas, recommended description elements that meet the respective preset numbers of the preset commodity description areas includes:
judging whether the display characteristics of the target commodity are matched with alternative description elements in a preset commodity description area;
and if not, degrading the sequence of the alternative description elements of the preset commodity description area until the display characteristics of the target commodity are matched with the alternative description elements of the preset commodity description area.
7. A display method, comprising:
acquiring recommendation description elements of a plurality of preset commodity description areas corresponding to a target commodity, wherein the recommendation description elements are respectively determined from alternative description elements of the preset commodity description areas;
and displaying the target commodity in the commodity cards where the preset commodity description areas are located.
8. A recommendation device, comprising:
the acquisition module is used for acquiring alternative description elements of a plurality of preset commodity description areas corresponding to the target commodity;
the determining module is used for determining the recommended description elements of the preset commodity description areas from the alternative description elements of the preset commodity description areas respectively;
and the recommending module recommends the target commodity according to the respective recommending description elements of the plurality of preset commodity description areas.
9. A display device, comprising:
the system comprises an acquisition module, a display module and a display module, wherein the acquisition module is used for acquiring recommendation description elements of a plurality of preset commodity description areas corresponding to a target commodity, and the recommendation description elements are respectively determined from alternative description elements of the preset commodity description areas;
and the display module is used for displaying the target commodity in the commodity cards where the preset commodity description areas are located.
10. An electronic device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction which causes the processor to execute the corresponding operation of the method according to any one of claims 1-7.
CN202110989449.5A 2021-08-26 2021-08-26 Recommendation and display method and device and electronic equipment Active CN113704607B (en)

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