Shop recommendation method and device, storage medium and computer equipment

Abstract

The invention discloses a shop recommendation method and device, a storage medium and computer equipment, and relates to the field of Internet. The method comprises the steps of receiving display information sent by a server and associated recommendation words of a target shop corresponding to the display information; displaying the target page; displaying a recommendation control on a display module corresponding to the target shop associated with the associated recommendation word, and displaying the associated recommendation word on the recommendation control; in response to a trigger operation on the recommendation control, sending a target associated recommendation word corresponding to the trigger operation to a server; and displaying the shop information of the associated shop fed back by the server. According to the method, the action points can be extended when the target shop cannot meet the willingness of the user, more shop search options meeting the requirements of the user are provided for the user, and the user can efficiently search associated shops by operating the recommendation control.

Description

Technical Field

[0001] The present application relates to the field of the Internet, and in particular to a store recommendation method, device, storage medium and computer equipment. Background Art

[0002] With the rapid development of Internet technology and the continuous improvement of people's living standards, more and more applications (APPs) are used by the majority of users. Users can obtain the meals they need online through life APPs. At present, when a user clicks to open the APP, a list page of all stores near the user will be displayed. However, not all stores in the list page can deliver meals according to the area specified by the user, or the user cannot go to the store to use the product verification coupon / in-store pickup identification code and other stores cannot provide the services required by the user. At this time, if the user wants to find a store that can complete the product transaction, it often needs to query by clicking multiple times, which is time-consuming and laborious, making the list page unable to achieve a good recommendation purpose, thereby affecting the efficiency and success rate of subsequent order processing and reducing the user's shopping experience. Summary of the invention

[0003] In view of this, the present application provides a store recommendation method, system, storage medium and computer device, the main purpose of which is to solve the technical problem that the traditional store recommendation method cannot achieve a better recommendation purpose for stores with service restrictions.

[0004] According to a first aspect of the present application, a store recommendation method is provided, the method comprising:

[0005] Receiving display information and associated recommendation words of a target store corresponding to the display information sent by a server, wherein the display information includes store information of the target store, and the associated recommendation words are determined according to the store information of the target store and preset conditions of the store service authority;

[0006] Displaying a target page, wherein the target page includes a display module of the target store, and the display module displays store information of the target store;

[0007] Displaying a recommendation control on a display module corresponding to a target store associated with the associated recommendation word, and displaying the associated recommendation word on the recommendation control;

[0008] In response to a trigger operation on the recommendation control, the target-related recommendation word corresponding to the trigger operation is sent to the server, so that the server obtains store information of the associated store according to the target-related recommendation word;

[0009] Displays the store information of the associated stores fed back by the server.

[0010] According to a second aspect of the present application, a store recommendation method is provided, the method comprising:

[0011] In response to a display request of a target page, determining display information of the target page, wherein the display information includes store information of the target store;

[0012] If the target store meets the preset conditions of the store service authority, determine the associated recommendation words of the target store according to the preset conditions and the store information of the target store;

[0013] Sending the display information and the associated recommendation words to the client, so that the client can display the store information of the target store on the display module of the target page, and display the recommendation control including the associated recommendation words on the display module corresponding to the target store associated with the associated recommendation words;

[0014] If a target-related recommendation word sent by the client is received, store information of the associated store is obtained according to the target-related recommendation word, wherein the associated recommendation word includes the target-related recommendation word;

[0015] The store information of the associated store is sent to the client so that the client can display the store information of the associated store.

[0016] According to a third aspect of the present application, a store recommendation device is provided, the device comprising:

[0017] A communication module, used for receiving display information and associated recommendation words of a target store corresponding to the display information sent by a server, wherein the display information includes store information of the target store, and the associated recommendation words are determined according to the store information of the target store and preset conditions of the store service authority;

[0018] A display module is used to display a target page, wherein the target page includes a display module of a target store, and the display module displays store information of the target store; and a recommendation control is displayed on the display module corresponding to the target store associated with the associated recommendation word, and the associated recommendation word is displayed on the recommendation control;

[0019] The communication module is further used to respond to the trigger operation of the recommendation control and send the target associated recommendation word corresponding to the trigger operation to the server, so that the server can obtain the store information of the associated store according to the target associated recommendation word;

[0020] The display module is also used to display the store information of the associated stores fed back by the server.

[0021] According to a fourth aspect of the present application, a store recommendation device is provided, the device comprising:

[0022] a determination module, configured to determine, in response to a display request of a target page, display information of the target page, wherein the display information includes store information of the target store; and, if the target store meets a preset condition of the store service authority, determine an associated recommendation word of the target store according to the preset condition and the store information of the target store;

[0023] A communication module, used to send the display information and the associated recommendation words to the client, so that the client can display the store information of the target store on the display module of the target page, and display the recommendation control including the associated recommendation words on the display module corresponding to the target store associated with the associated recommendation words;

[0024] an acquisition module, configured to acquire store information of associated stores according to the target-associated recommendation words upon receiving the target-associated recommendation words sent by the client, wherein the associated recommendation words include the target-associated recommendation words;

[0025] The communication module is also used to send the store information of the associated store to the client so that the client can display the store information of the associated store.

[0026] According to a fifth aspect of the present application, a storage medium is provided, on which a computer program is stored, and when the program is executed by a processor, the above-mentioned store recommendation method is implemented.

[0027] According to a sixth aspect of the present application, a computer device is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned store recommendation method when executing the program.

[0028] The present application provides a store recommendation method, device, storage medium and computer equipment. When a user needs to view store information, the display request of the target page can trigger the server to determine the display information of the target page, so that the user can obtain the store information of the target store through the target page. Further, the server can determine whether the target store can meet the preset conditions of the store service authority. If it is satisfied, it means that the target store cannot provide normal ordering, delivery and other related services to the user. The server determines the associated recommendation words related to the target store according to the preset conditions and the store information of the target store, and sends the display information and the associated recommendation words to the client for display. The user can obtain the store information of the target store in demand through the display information. And the client can display the recommendation control on the display module corresponding to the target store that cannot provide the service normally, and display the associated recommendation words on the recommendation control, so as to use the recommendation control to reveal the entrance of the store search associated with the target store. As a result, the user can easily trigger the server's search for associated stores through the recommendation control, and obtain the store information of the associated stores. The scheme of the embodiment of the present application is adopted. On the one hand, by displaying the recommendation control with the associated recommendation words, when the target store cannot meet the user's wishes, more store search options that meet their own needs are provided to the user. The user can perform efficient search of the associated stores by operating the recommendation control, realizing the extension of the action point, and achieving the purpose of guiding the user to find the relevant content of the target store, avoiding the situation that the user places an order but the store cannot provide the corresponding service. On the other hand, the associated recommendation words are determined based on the store information of the target store required by the user and the preset conditions of the store service authority, so that the associated store corresponding to the associated recommendation words can meet the user's needs and can provide corresponding services, ensuring the accuracy of store recommendations and improving the accuracy of the user's search intention. On the other hand, the recommendation control is exposed on the target page, which reduces the user's search path, and displays the associated stores of the target store to the user in a more convenient way, avoiding the user from blindly searching among many stores, and spending the least time and energy to find a suitable store or product, thereby improving the success rate of order completion and the user's shopping experience.

[0029] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0031] Figure 1A schematic diagram showing a flow chart of a store recommendation method provided in an embodiment of the present application is shown;

[0032] Figure 2 One of the scenario schematic diagrams of a store recommendation method provided in an embodiment of the present application is shown;

[0033] Figure 3 A second scenario diagram of a store recommendation method provided in an embodiment of the present application is shown;

[0034] Figure 4 A third scenario diagram of a store recommendation method provided in an embodiment of the present application is shown;

[0035] Figure 5 A fourth scenario diagram of a store recommendation method provided in an embodiment of the present application is shown;

[0036] Figure 6 A fifth scenario diagram of a store recommendation method provided in an embodiment of the present application is shown;

[0037] Figure 7 A schematic diagram of the structure of a store recommendation device provided in an embodiment of the present application is shown;

[0038] Figure 8 A schematic diagram of the structure of another store recommendation device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0039] The present application will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0040] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0041] In one embodiment, Figure 1 As shown, a store recommendation method is provided, which is described by taking the method applied to a client and a server as an example, and includes the following steps:

[0042] Step 101: In response to a display request of a target page, the server determines display information of the target page.

[0043] The display information includes the store information of the target store and other related information. The store information includes but is not limited to at least one of the following: product information, store name, store status, store location, store navigation. Other related information may be activity information, address information, etc.

[0044] It is understandable that the target page is used to display the store information of the target store. This application does not specifically limit the function of the target page. It can be a search result page based on store search, or it can be a page such as Figure 2 The display page of the historical orders shown can also be a recommendation page of nearby stores based on location information. Correspondingly, for target pages with different functions, the display information can include different content in addition to the store information of the target store. The target page of the present application is preferably a store list page corresponding to the user's historical behavior, and the user's behavior includes: adding to cart, collecting and / or browsing, etc., so that the user's preference for the store, the time corresponding to the user's historical behavior, and the location corresponding to the user's historical behavior are reflected through the target page.

[0045] In this embodiment, the method can be executed by a client and a server, and the client can be a mobile phone, a tablet computer, a desktop computer, a laptop computer or a personal digital assistant (PDA), etc. The server can be a content recommendation server, and the server can be configured as an independent physical server, or a server cluster or a distributed system composed of multiple physical servers. The client and the server interact to realize the store recommendation function, and specifically, the application program, applet, public account, WEB application program or web page in other APP on the client can interact with the server. The client and the user can perform human-computer interaction through one or more methods such as keyboard, touch screen, voice interaction or handwriting, and the embodiment of the present application does not limit this.

[0046] Step 102: If the target store meets the preset conditions of the store service authority, the server determines the associated recommendation words of the target store according to the preset conditions and the store information of the target store.

[0047] Among them, the related recommended words refer to search words that are not constructed by the user themselves, but are search words provided to the user by the system. Searching through the related recommended words means using the related recommended words as search words, triggering the search engine to recall search results based on the related recommended words according to the search algorithm. Figure 2 Figure 3 As shown, when a user is browsing a target page, if a recommendation control with associated recommendation words is displayed on the target page, the user can trigger a corresponding store search by clicking any recommendation control.

[0048] In this embodiment, before sending the display information, the server first detects whether the target store to which the store information contained in the display information belongs can meet the preset conditions of the store service authority. If it does, it means that the target store cannot provide normal ordering, delivery and other related services to the user. At this time, the server determines the associated recommendation words related to the target store according to the preset conditions and the store information of the target store, so that the user can easily trigger the server's search for the associated store through the associated recommendation words, and obtain the store information of the associated store, so as to achieve the extension of the action point when the target store cannot meet the user's wishes, play a role in guiding the user to discover the relevant content of the target store, and avoid the situation that the user's historical behavior related store may not be able to provide the corresponding service due to the change of time and / or user location. At the same time, the associated recommendation words are determined based on the store information of the target store required by the user and the preset conditions of the store service authority, so that the associated store corresponding to the associated recommendation words can meet the user's needs and can provide corresponding services, thereby ensuring the accuracy of store recommendations and improving the accuracy of the user's search intention.

[0049] It should be noted that the following methods can be used to detect whether the target store meets the preset conditions for store service permissions:

[0050] Method 1: If the target store is in a resting state, the server determines that the target store meets the preset conditions.

[0051] Method 2: If the location information of the target user exceeds the delivery range of the target store, the server determines that the target store meets the preset conditions.

[0052] Method three: if the quantity of the target product in the target store is less than or equal to the first preset quantity, the server determines that the target store meets the preset condition.

[0053] The first preset quantity can be reasonably set according to the historical demand quantity of the user for the product. If product A is often ordered in batches, the first preset quantity can be configured as a relatively large value; if product A is often traded in single quantities, the first preset quantity can be configured as a relatively small value.

[0054] For example, taking an e-commerce APP as an example, a user wants to buy toilet paper rolls, but the toilet paper rolls sold by Store A are out of stock, that is, the user cannot place an order to purchase toilet paper rolls at Store A, then Store A is determined to meet the preset conditions.

[0055] Method 4: If the rights and interests information of the target store does not meet the rights and interests authority corresponding to the target user, the server determines that the target store meets the preset conditions.

[0056] Among them, the equity information includes the type of equity and the amount of equity. The type of equity can be a physical product, a cash red envelope, or points, tokens, coupons, opportunities to obtain equity, etc. The type of equity and its corresponding equity amount can be reasonably set as needed.

[0057] For example, if a user has a 10 yuan red envelope but store A does not participate in the red envelope deduction activity, or store A cannot use the product redemption coupon / in-store pickup identification code, etc., then store A is determined to meet the preset conditions.

[0058] It should be noted that the preset conditions are used to screen out target stores that cannot provide normal services to users, and are not limited to the above-mentioned implementation methods. They can be reasonably set according to actual application scenarios, and the embodiments of this application will not be listed one by one.

[0059] In a specific application scenario, step 102, that is, determining the associated recommendation words corresponding to the target store according to the preset conditions and the store information of the target store, includes:

[0060] Step 102 - 1 : The server extracts candidate recommendation words from the store information of the target store according to the type of the associated recommendation words.

[0061] Among them, the types of associated recommendation words include but are not limited to at least one of the following: the name of the aggregated store, the name of the store, the store category, and the name of the product. The aggregated store can be an aggregation of the brand dimension or an aggregation of other dimensions. The store category can be a category such as business hours, product attributes, etc., or other classification methods such as specific themes. For example, the business hours can be the morning period from 5:00 to 10:00 in the morning, or the midnight period from 8:00 to 4:00 in the morning. Product attributes can be food (such as milk tea and juice, Jiangsu and Zhejiang cuisine, coffee, barbecue, crayfish, etc.), life (such as kitchen and bathroom supplies, furniture supplies), clothing (such as clothes, hats, etc.), and education. Specific themes can be holiday themes (such as Halloween activities), promotional themes, etc.

[0062] Step 102 - 2 : The server screens the candidate recommendation words according to the priority of the type to which the candidate recommendation words belong and / or preset conditions to obtain related recommendation words.

[0063] In this embodiment, candidate recommendation words that can be used for associated store searches are extracted from the store information of the target store according to the preset types of associated recommendation words. The candidate recommendation words are screened using the priority of the type to which the candidate recommendation words belong and / or preset conditions as screening conditions to determine the associated recommendation words among the candidate recommendation words. Thus, the associated recommendation words are configured based on the store information and preset conditions of the target store, so that the associated stores corresponding to the associated recommendation words can meet the actual needs of the user and can provide normal services. While providing users with more store choices, the accuracy of store recommendations is guaranteed, which helps to increase the user's click rate and meet the user's multi-dimensional needs. Moreover, the entire candidate recommendation word screening process is completely performed by the background server, so that the user has no perception or weak perception, which improves user satisfaction.

[0064] Furthermore, in step 102-2, the server performs screening processing according to the priority of the type to which the candidate recommendation words belong, specifically including: determining the candidate recommendation words of the type with a priority greater than the second preset priority as the associated recommendation words.

[0065] In this embodiment, the operator can configure priorities for different types of search terms in advance according to the granularity of the search. Therefore, when the server performs screening, it can use the size of the priority to determine the candidate recommendation terms with a larger priority and use them as related recommendation terms. This reduces the number of different types of related recommendation terms, reduces the space required to display related recommendation terms, helps to streamline the page layout, and enables users to view or touch information clearly and conveniently.

[0066] For example, in the takeaway scenario, the priority of different types of search terms can be configured as aggregated store / store name > store category > product name. The name of the aggregated store of xxx brand store A that sells Xiaolongbao is xxx, the store name is xxx-A, the store category is catering, and the product name is Xiaolongbao. Figure 2 As shown, if the user's location is beyond the delivery range of store A, the name of the xxx brand with the highest priority will be used as the associated recommendation word.

[0067] Furthermore, in step 102-2, the server screens the candidate recommendation words according to preset conditions, which specifically includes at least one of the following steps (1) to (3):

[0068] (1) If the target store belongs to an aggregated store, and there is a first associated store in the aggregated store to which the target store belongs that does not meet the preset conditions, the server determines the name of the aggregated store to which the target store belongs as the associated recommendation word.

[0069] In this embodiment, it is detected whether the target store belongs to an aggregated store. If there is an aggregated store, it is further determined whether there is a first associated store that does not meet the preset conditions, that is, can provide services normally, among the stores belonging to the same aggregated store as the target store. If there is a first associated store, it means that the first associated store with the same dimensions as the target store can meet the user's needs, and the name of the aggregated store is used as the associated recommendation word for the store recommendation. This allows users to obtain store information of all first associated stores through the associated recommendation words.

[0070] It is worth mentioning that, in some possible embodiments, if there are multiple first associated stores, the server sorts the multiple first associated stores according to user preference information; the server determines the name of the first associated store that ranks first in the order of the multiple first associated stores as the associated recommendation word.

[0071] Among them, user preference information may include distance sensitivity, categories of frequently purchased goods, frequently purchased stores, locations where transactions are frequently made, frequently browsed goods, etc., which will not be listed one by one in the embodiments of the present application.

[0072] In this embodiment, a first associated store located more in line with the user's behavior habits is selected from a plurality of first associated stores based on the user's preference information, and the name of the first associated store is directly used as an associated recommendation word, thereby helping the user to quickly search for the required store information, assisting the user in making decisions, and improving the conversion rate of the recommended information.

[0073] For example, Figure 3 As shown, the xxx brand has 3 stores that meet the delivery range, namely xxx (a building store), xxx (b road store), xxx (c road store). Among them, after sorting by user distance, the store closest to the user is xxx (c road store), so xxx (c road store) is used as the associated recommendation word.

[0074] (2) Determine the store category to which the target store belongs. If there is a second associated store that meets the store category to which the target store belongs and does not meet the preset conditions, the server determines the store category to which the target store belongs as the associated recommendation word.

[0075] In this embodiment, it is determined whether there is a second associated store that does not meet the preset conditions, that is, can provide services normally, among the stores belonging to the same store category as the target store. If there is a second associated store, it means that the second associated store with similar services as the target store can meet the user's needs, and the store category to which the target store belongs is used as the associated recommendation word for store recommendation. This allows the user to obtain store information of all second associated stores of the same category through the associated recommendation words.

[0076] For example, Figure 5 As shown in the figure, the product category of store F is coffee, and among the stores with the product category of coffee, there are stores D and E that meet the delivery range. Figure 2 As shown, "coffee" can be configured as an associated recommendation word.

[0077] (3) Determine the product name corresponding to the target store. If there is a third associated store in the store information that contains the product name corresponding to the target store and does not meet the preset conditions, the server determines the product name corresponding to the target store as the associated recommendation word.

[0078] In this embodiment, it is determined whether there is a third associated store that does not meet the preset conditions, that is, can provide services normally, among the stores that sell the same goods as the target store. If there is a third associated store, it means that the third associated store that sells the same goods as the target store can meet the user's needs, and the product name is used as the associated recommendation word for the store recommendation. In this way, the user can obtain the store information of all third associated stores that can sell the same goods through the associated recommendation words.

[0079] For example, in the historical order, the user purchased latte coffee at store A. Among the stores selling latte coffee in the database, store B and store C are still in business. Figure 3 As shown, "latte" can be configured as an associated recommendation word.

[0080] It is worth mentioning that the above steps (1) to (3) can also be executed in the order of priority of type. For example, taking the priority order of aggregated store / store name > store category > product name as an example, the server first executes step (1). When the name of the aggregated store to which the target store belongs is determined as the associated recommendation word, steps (2) and (3) can be omitted to reduce the data processing pressure of the server; when the first associated store does not exist, the server continues to execute step (2). Similarly, when the product name corresponding to the target store is determined as the associated recommendation word, step (3) can be omitted, otherwise step (3) continues to be executed.

[0081] Furthermore, as a refinement and extension of the specific implementation of the above embodiment, considering that in some special scenarios, the associated recommendation words cannot be determined through steps (1) to (3), in order to fully illustrate the implementation process of this embodiment, the store recommendation method also includes: if the type of the candidate recommendation word is any one of the name of the aggregated store, the name of the store and the name of the product, the server expands the candidate recommendation word to obtain the associated recommendation word.

[0082] In this embodiment, when it is difficult to determine the associated recommendation words through the initial store information, the server performs expansion processing on the candidate recommendation words to obtain the associated recommendation words that are similar to the candidate recommendation words. This not only provides users with accurate store recommendation options, meets user demands, and is conducive to improving the efficiency of users in obtaining the required products, but also increases the probability of users visiting the associated stores, increases the exposure rate and user traffic of the associated stores, and thus improves the sales data of the associated stores.

[0083] Specifically, the server performs expansion processing on the candidate recommendation words in the following manner:

[0084] Method 1: The server inputs the candidate recommendation words into the expansion model to obtain the related recommendation words.

[0085] Among them, the expansion model is obtained by training the sample words and the expansion samples corresponding to the sample words. The expansion samples can be determined by horizontal expansion and / or vertical expansion of the sample words. Specifically, horizontal expansion is based on the horizontal divergence of the sample words, and vertical expansion is based on the vertical divergence of the sample words. For example, for the sample word "full cup of red grapefruit", according to the recommendation strategy of horizontal expansion, the expansion samples can be "fruit tea", "kumquat lemon", etc., and according to the recommendation strategy of vertical expansion, the expansion samples can be "full cup of red grapefruit", "kumquat red grapefruit", "red grapefruit spring tea", etc. Different recommendation strategies can be adopted for different divergence degrees of expansion sample requirements. For more divergent expansion requirements, the expansion strategy can adopt both horizontal expansion and vertical expansion. For generally divergent expansion requirements, only the recommendation strategy of vertical expansion can be adopted. In some embodiments, the degree of horizontal expansion and vertical expansion can also be configured, for example, the distance of horizontal association with sample words during horizontal expansion and the depth of vertical expansion.

[0086] Method 2: determine the store category corresponding to the candidate recommendation word, and determine the associated recommendation word based on the sales data of the store belonging to the store category corresponding to the candidate recommendation word.

[0087] In this embodiment, for the candidate recommendation words of the store name type, the store category corresponding to the candidate recommendation word is first determined. Then, the sales data of all stores under the store category are counted, and the popularity or praise of all stores under the store category is analyzed based on the sales data, so as to determine the store under the store category that is more suitable for the actual scene. Finally, the name of the store is used as the associated recommendation word corresponding to the name of the target store.

[0088] For example, the store category of target store A is milk tea. Among the stores belonging to the milk tea category, store Y has the highest sales in the past month. In this case, the name of store Y can be used as an associated recommendation word.

[0089] Method three: determine the commodity type corresponding to the candidate recommendation word, and determine the associated recommendation word based on the sales data of the commodity belonging to the commodity type corresponding to the candidate recommendation word.

[0090] Similarly, for candidate recommendation words of the product name type, first determine the product type corresponding to the candidate recommendation word. Then count the sales data of products sold in different stores under this product type, analyze the popularity or praise of all products under this product type based on the sales data, and then determine the products with the hot trend under this product type. Finally, use the name of the product as the associated recommendation word corresponding to the product name in the target store.

[0091] Step 103: The server sends the display information and the related recommended words to the client.

[0092] It should be noted that the target stores to which the store information in the display information belongs include target stores that meet the preset conditions of the store service authority, that is, target stores associated with related recommendation words, and target stores that do not meet the preset conditions.

[0093] Step 104: the client receives the display information and the associated recommendation words of the target store corresponding to the display information sent by the server.

[0094] Among them, the associated recommendation words are determined based on the store information of the target store and the preset conditions of the store service authority.

[0095] Step 105: The client displays the target page.

[0096] The target page includes a display module of the target store, and the display module displays store information of the target store.

[0097] Step 106: The client displays a recommendation control on a display module corresponding to the target store associated with the associated recommendation word, and displays the associated recommendation word on the recommendation control.

[0098] Among them, the recommendation control can carry a jump link to enter the corresponding default page. When a user triggers a recommendation control, he can jump to the default page to display the store information of the associated store.

[0099] In this embodiment, the client associates and displays the store information and recommendation controls of the target store in the display module of the target page, which not only meets the user's need to obtain the information displayed in the target page, but also can enhance the user's click probability on other stores by using the recommendation controls under the target store, and realizes the extension of the action point when the target store cannot meet the user's wishes, avoiding the situation where the user places an order but the store cannot provide the corresponding service, meeting the user's multi-dimensional needs and improving the user experience. At the same time, the recommendation control is exposed on the target page, which reduces the user's search path, and displays the associated stores of the target store to the user in a more convenient way, avoiding the user from blindly searching among many stores, and spending the least time and energy to find a suitable store or product, thereby improving the success rate of order completion and the user's shopping experience.

[0100] It is understandable that the embodiment of the present application does not specifically limit the display form of the recommendation control. Figure 2 As shown, the recommendation control can exist in the form of a button or a text link.

[0101] In one embodiment, in step 106, the client displays the related recommendation words on the recommendation control, which specifically includes the following steps:

[0102] Step 106 - 1 : If there are multiple associated recommendation words of different types, display multiple recommendation controls in the order of priority of the types to which the associated recommendation words belong.

[0103] The type of the associated recommendation word includes at least one of the following: the name of the aggregated store, the name of the store, the store category, and the name of the product. Multiple recommendation controls correspond to multiple associated recommendation words one by one. The number of recommendation controls displayed can be reasonably set according to the detailed information of the target store or the page layout requirements, and the embodiment of this application does not make specific limitations.

[0104] In this embodiment, if the client receives multiple related recommendation words corresponding to the same target store, and the multiple related recommendation words belong to different types, it means that the related stores of the target store can be queried under search conditions of different granularities. At this time, multiple recommendation controls are displayed sequentially on the display module according to the priority of the type to which the related recommendation words belong. This reduces the user's search path, and on the basis of displaying the related stores of the target store to the user in a more convenient way, provides the user with more comprehensive store recommendation options to assist the user in making decisions.

[0105] In another embodiment, in step 106, the client displays the associated recommendation words on the recommendation control, which specifically includes the following steps: Step 106-2, displaying the associated recommendation words whose type priority is greater than the first preset priority on the recommendation control.

[0106] Therein, the number of associated recommendation words greater than the first preset priority may be one or more, and the multiple associated recommendation words correspond one-to-one to the multiple recommendation controls.

[0107] In this embodiment, in consideration of the layout limitations of the display module, in order to minimize the space occupied by the recommendation control, if the client receives multiple related recommendation words corresponding to the same target store, it means that the related stores can be queried under search conditions of different granularities. At this time, the related recommendation words of the type with a greater priority are displayed on the recommendation control. This reduces the user's search path, and on the basis of displaying the related stores of the target store to the user in a more convenient way, simplifies the page layout, and enables the user to view or touch the information clearly and conveniently.

[0108] For example, Figure 2 As shown, three cards of historical orders are displayed on the historical order display page (target page), among which the orders of store A, store F and store G are all beyond the delivery range, and recommendation buttons are displayed on the cards of store A and store F. Among them, for store A, the name of the xxx brand with the highest priority is displayed as the associated recommendation word on the recommendation button. For store F, the name of the yy brand, the store category "coffee", and the name of the product purchased in the historical order "latte" are displayed as the associated recommendation words on the three recommendation buttons.

[0109] In another embodiment, in step 106, the client displays a recommendation control on a display module corresponding to a target store associated with the associated recommendation word, including:

[0110] Step 106 - 3 , displaying the recommendation control on the target display module that is located before the preset position in the display sequence of the display modules.

[0111] The target display module is used to display the store information of the target store associated with the associated recommendation word.

[0112] In this embodiment, in order to ensure the user click rate and further optimize the page layout, if there are multiple display modules of target stores that meet the preset conditions in one screen of the target page, the display order of all display modules in the target page is determined. And the recommendation control is displayed on the target display module that is located before the preset position in the display order. The recommendation control can be displayed on the display module corresponding to the target store that is at the front position in the target page and meets the preset conditions, which is convenient for user operation and avoids the misoperation caused by too many recommendation controls being presented on the target page.

[0113] For example, Figure 2As shown, there are three cards (display modules) of historical orders displayed on the historical order display page (target page), among which the orders of store A, store F and store G are all beyond the delivery range, but only the cards of the first two over-delivery orders (store A and store F) display the recommendation button. The orders of store G are displayed in a conventional way.

[0114] Step 107: In response to the triggering operation on the recommendation control, the client sends the target-related recommendation word corresponding to the triggering operation to the server.

[0115] It should be noted that the trigger operation includes but is not limited to click operation, key operation, fingerprint input operation, sliding operation, and pressing operation. Key operation includes but is not limited to single-click operation, double-click operation, long-press operation, or combination key operation of the power key, volume key, and main menu key of the client. The embodiment of the application does not specifically limit the user operation method, which can be any feasible method.

[0116] Step 108: If the target-related recommendation word sent by the client is received, the server obtains store information of the associated store according to the target-related recommendation word.

[0117] The associated recommended words include target associated recommended words selected by the client trigger operation. The associated stores are stores that are related to the target associated recommended words and do not meet the preset conditions of the store service authority.

[0118] It is understandable that for different types of target-related recommendation words of the same target store, the related stores searched by the server may also be different.

[0119] Furthermore, when the server determines the associated store based on the target-related recommended word, it can use the screening logic to filter out the associated stores that do not meet the preset conditions of the store service authority from the stores related to the target-related recommended word. Therefore, when recommending associated stores, stores that have problems such as exceeding the delivery range, being on rest, and not meeting the rights and interests corresponding to the target user can be directly screened out to ensure that the associated recommended stores are stores that can normally provide the services required by users. For example, if the associated recommended word is the name of the aggregated store, the stores in the aggregated store that do not meet the preset conditions will be regarded as associated stores. Alternatively, if the associated recommended word is a product name, the store that contains the product name in the store information and does not meet the preset conditions will be regarded as an associated store.

[0120] Step 109: The server feeds back the store information of the associated store to the client. Step 110: The client displays the store information of the associated store fed back by the server.

[0121] The store recommendation method provided in this embodiment can trigger the server to determine the display information of the target page through the display request of the target page when the user needs to view the store information, so that the user can obtain the store information of the target store through the target page. Further, the server can determine whether the target store can meet the preset conditions of the store service authority. If it is satisfied, it means that the target store cannot provide normal ordering, delivery and other related services to the user. The server determines the associated recommendation words related to the target store according to the preset conditions and the store information of the target store, and sends the display information and the associated recommendation words to the client for display. The user can obtain the store information of the target store of the demand through the display information. And the client can display the recommendation control on the display module corresponding to the target store that cannot provide the service normally, and display the associated recommendation words on the recommendation control, so as to use the recommendation control to reveal the entrance of the store search associated with the target store. As a result, the user can easily trigger the server's search for the associated store through the recommendation control, and obtain the store information of the associated store. The scheme of the embodiment of the present application is adopted. On the one hand, by displaying the recommendation control with the associated recommendation words, when the target store cannot meet the user's wishes, more store search options that meet their own needs are provided to the user. The user can perform efficient search of the associated stores by operating the recommendation control, realizing the extension of the action point, and achieving the purpose of guiding the user to find the relevant content of the target store, avoiding the situation that the user places an order but the store cannot provide the corresponding service. On the other hand, the associated recommendation words are determined based on the store information of the target store required by the user and the preset conditions of the store service authority, so that the associated store corresponding to the associated recommendation words can meet the user's needs and can provide corresponding services, ensuring the accuracy of store recommendations and improving the accuracy of the user's search intention. On the other hand, the recommendation control is exposed on the target page, which reduces the user's search path, and displays the associated stores of the target store to the user in a more convenient way, avoiding the user from blindly searching among many stores, and spending the least time and energy to find a suitable store or product, thereby improving the success rate of order completion and the user's shopping experience.

[0122] Further, as a refinement and extension of the specific implementation of the above embodiment, in order to fully illustrate the implementation process of displaying store information for different types of associated recommendation words in this embodiment, step 110, that is, the client displays the store information of the associated store fed back by the server, may include the following methods:

[0123] In an embodiment where the type of the target associated recommendation word includes a store name or an aggregated store name, the client displays the store information of the first associated store fed back by the server, wherein the name of the aggregated store to which the first associated store belongs includes the associated recommendation word, or the name of the first associated store includes the associated recommendation word.

[0124] For example, Figure 2As shown in the figure, when a user clicks the "nearby xxx" button of xxx brand store A, he can jump to the following Figure 4 The store list page shown in FIG. 1 shows the first associated stores within the delivery range under the xxx brand, namely xxx (a building store), xxx (b road store), and xxx (c road store). For another example, Figure 3 As shown in the figure, when the user clicks the "xxx (c road store)" button of store A, he can jump to the following Figure 6 The store details page of xxx (C Road Store) shown.

[0125] It is understandable that the client displays the store information of the first associated store fed back by the server specifically including: if there are multiple first associated stores, the client sorts the multiple first associated stores according to the user preference information; and displays the store information of the multiple first associated stores in sequence. The user preference information may include distance sensitivity, categories of frequently purchased goods, frequently purchased stores, places where transactions are frequently made, frequently browsed goods, etc., which are not listed one by one in the embodiments of the present application.

[0126] In this embodiment, a plurality of first associated stores are sorted based on user preference information, and store information of the plurality of first associated stores is displayed in the sorted order, thereby helping users to quickly search for required store information, assisting users in making decisions, and improving the conversion rate of recommended information.

[0127] It is worth mentioning that after sorting multiple first-related stores, the store information of multiple first-related stores can be cancelled and the store information of the first-related store at the top of the order can be displayed. Therefore, based on the user preference information, a first-related store that is more in line with the user's behavior habits can be selected from the many first-related stores, and the store information of the first-related store can be directly displayed, helping users to quickly search for the required store information, assisting users in making decisions, and improving the conversion rate of recommended information. For example, Figure 2 As shown in the figure, when a user clicks the "nearby xxx" button of xxx brand store A, it should be displayed as Figure 4 The store list page displays the store information of the three top-ranked related stores (xxx (store in Building A), xxx (store on Road B), and xxx (store on Road C)). After sorting based on the user's distance, it is determined that the store closest to the user is xxx (store on Road C), so the user is directly redirected to Figure 6 The store details page of xxx (C Road Store) shown.

[0128] In an embodiment where the type to which the target associated recommendation word belongs includes a store category, the client displays store information of a second associated store fed back by the server, wherein the store category to which the second associated store belongs conforms to the associated recommendation word.

[0129] For example, Figure 2 As shown in the figure, when the user clicks the "Coffee" button of store F, he can jump to the following Figure 5 The store list page shown in the figure displays the store information of the second related stores (store D and store E) whose product category is coffee and which are within the delivery range.

[0130] In an embodiment where the type to which the target associated recommendation word belongs includes a product name, the client displays the store information of the third associated store fed back by the server, wherein the product information in the store information of the third associated store includes the associated recommendation word.

[0131] It should be noted that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0132] Further, as Figure 1 The specific implementation of the method shown in the embodiment provides a store recommendation device, such as Figure 7 As shown, the device includes: a communication module 71 and a display module 72.

[0133] The communication module 71 is used to receive the display information and the associated recommendation words of the target store corresponding to the display information sent by the server, wherein the display information includes the store information of the target store, and the associated recommendation words are determined according to the store information of the target store and the preset conditions of the store service authority;

[0134] The display module 72 is used to display the target page, wherein the target page includes a display module of the target store, and the display module displays the store information of the target store; and display a recommendation control on the display module corresponding to the target store associated with the associated recommendation word, and display the associated recommendation word on the recommendation control;

[0135] The communication module 71 is further used to respond to the trigger operation of the recommendation control and send the target related recommendation word corresponding to the trigger operation to the server, so that the server can obtain the store information of the related store according to the target related recommendation word;

[0136] The display module 72 is also used to display the store information of the associated stores fed back by the server.

[0137] In a specific application scenario, the display module 72 is specifically used to display the associated recommendation words whose types have a priority greater than the first preset priority on the recommendation control.

[0138] In a specific application scenario, the display module 72 is specifically used to display multiple recommendation controls in the order of priority of the types of the associated recommendation words if there are multiple associated recommendation words of different types, wherein the multiple recommendation controls correspond one-to-one to the multiple associated recommendation words.

[0139] In a specific application scenario, the type of associated recommendation words includes at least one of the following: the name of an aggregated store, the name of a store, a store category, and a product name.

[0140] In a specific application scenario, the type of the target associated recommendation word includes a store name or an aggregated store name; the display module 72 is specifically used to display the store information of the first associated store fed back by the server, wherein the name of the aggregated store to which the first associated store belongs includes the associated recommendation word, or the name of the first associated store includes the associated recommendation word.

[0141] In a specific application scenario, the type to which the target associated recommendation word belongs includes a store category; the display module 72 is specifically used to display the store information of the second associated store fed back by the server, wherein the store category to which the second associated store belongs conforms to the associated recommendation word.

[0142] In a specific application scenario, the type of the target associated recommendation word includes the product name; the display module 72 is specifically used to display the store information of the third associated store fed back by the server, wherein the product information in the store information of the third associated store includes the associated recommendation word.

[0143] In a specific application scenario, the store recommendation device further includes: a sorting module (not shown in the figure).

[0144] Among them, the sorting module is used to sort the multiple first associated stores according to the user preference information if there are multiple first associated stores; the display module 72 is specifically used to display the store information of the multiple first associated stores in sequence.

[0145] In a specific application scenario, the display module 72 is specifically used to display a recommendation control on a target display module located before a preset position in the display order of the display modules, wherein the target display module is used to display store information of a target store associated with an associated recommendation word.

[0146] Further, as Figure 1 The specific implementation of the method shown in the embodiment provides a store recommendation device, such as Figure 8 As shown, the device includes: a determination module 81, a communication module 82, and an acquisition module 83.

[0147] The determination module 81 is used to determine the display information of the target page in response to the display request of the target page, wherein the display information includes the store information of the target store; and if the target store meets the preset conditions of the store service authority, determine the associated recommendation words of the target store according to the preset conditions and the store information of the target store;

[0148] The communication module 82 is used to send the display information and the associated recommendation words to the client, so that the client can display the store information of the target store on the display module of the target page, and display the recommendation control including the associated recommendation words on the display module corresponding to the target store associated with the associated recommendation words;

[0149] An acquisition module 83 is configured to acquire store information of an associated store according to the target-associated recommendation word upon receiving the target-associated recommendation word sent by the client, wherein the associated recommendation word includes the target-associated recommendation word;

[0150] The communication module 82 is also used to send the store information of the associated store to the client, so that the client can display the store information of the associated store.

[0151] In a specific application scenario, the determination module 81 is specifically used to extract candidate recommendation words from the store information of the target store according to the type of the associated recommendation words; the candidate recommendation words are screened according to the priority of the type of the candidate recommendation words and / or preset conditions to obtain associated recommendation words; wherein the type of the associated recommendation words includes at least one of the following: the name of the aggregated store, the name of the store, the store category, and the name of the product.

[0152] In a specific application scenario, the determination module 81 is specifically configured to determine candidate recommendation words of a type whose priority is greater than a second preset priority as associated recommendation words.

[0153] In a specific application scenario, the determination module 81 is specifically used to determine the name of the aggregated store to which the target store belongs as the associated recommendation word if the target store belongs to an aggregated store and there is a first associated store in the aggregated store to which the target store belongs that does not meet the preset conditions.

[0154] In a specific application scenario, the determination module 81 is specifically used to determine the store category to which the target store belongs. If there is a second associated store that meets the store category to which the target store belongs and does not meet the preset conditions, the store category to which the target store belongs is determined as the associated recommendation word.

[0155] In a specific application scenario, the determination module 81 is specifically used to determine the product name corresponding to the target store. If there is a third associated store in the store information that contains the product name corresponding to the target store and does not meet the preset conditions, the product name corresponding to the target store is determined as the associated recommendation word.

[0156] In a specific application scenario, the determination module 81 is specifically used to sort the multiple first associated stores according to user preference information if there are multiple first associated stores; and determine the name of the first associated store that is at the first place in the order of the multiple first associated stores as the associated recommendation word.

[0157] In a specific application scenario, the store recommendation device also includes: an expansion module (not shown in the figure).

[0158] Among them, the expansion module is used to expand the candidate recommendation word to obtain the associated recommendation word if the type of the candidate recommendation word is any one of the name of the aggregated store, the name of the store and the name of the product.

[0159] In a specific application scenario, the expansion module is specifically used to input candidate recommendation words into the expansion model to obtain related recommendation words.

[0160] In a specific application scenario, the expansion module is specifically used to determine the store category corresponding to the candidate recommendation word, and determine the associated recommendation word based on the sales data of the store belonging to the store category corresponding to the candidate recommendation word.

[0161] In a specific application scenario, the extension module is specifically used to determine the commodity type corresponding to the candidate recommendation word, and determine the associated recommendation word based on the sales data of the commodity belonging to the commodity type corresponding to the candidate recommendation word.

[0162] In a specific application scenario, the determination module 81 is also used to determine that the target store meets the preset conditions if the target store is in a rest state; and / or, if the location information of the target user exceeds the delivery range of the target store, determine that the target store meets the preset conditions; and / or, if the quantity of target goods in the target store is less than or equal to the first preset quantity, determine that the target store meets the preset conditions; and / or, if the rights and interests information of the target store does not meet the rights and interests authority corresponding to the target user, determine that the target store meets the preset conditions.

[0163] It should be noted that for other corresponding descriptions of the functional units involved in the store recommendation device provided in this embodiment, please refer to Figure 1 The corresponding description in will not be repeated here.

[0164] Based on the above Figure 1 The method shown in the embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned Figure 1 The store recommendation method shown.

[0165] Based on this understanding, the technical solution of the present application can be embodied in the form of a software product. The software product to be identified can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.), including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each implementation scenario of the present application.

[0166] Based on the above Figure 1 The method shown, and Figure 7 and Figure 8 In order to achieve the above-mentioned purpose, the present embodiment also provides a computer device for store recommendation, which can be a personal computer, a server, a smart phone, a tablet computer, a smart watch, or other network devices, etc. The computer device includes a storage medium and a processor; the storage medium is used to store a computer program and an operating system; the processor is used to execute the computer program to achieve the above-mentioned Figure 1 The method shown.

[0167] Optionally, the computer device may further include an internal memory, a communication interface, a network interface, a camera, a radio frequency (RF) circuit, a sensor, an audio circuit, a WI-FI module, a display, an input device such as a keyboard, etc. Optionally, the communication interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (such as a WI-FI interface), etc.

[0168] Those skilled in the art will appreciate that the computer device structure for identifying an operation action provided in this embodiment does not constitute a limitation on the computer device, and may include more or fewer components, or a combination of certain components, or different component arrangements.

[0169] The storage medium may also include an operating system and a network communication module. The operating system is a program that manages the above-mentioned computer device hardware and the software resources to be identified, and supports the operation of the information processing program and other software and / or programs to be identified. The network communication module is used to realize the communication between the components inside the storage medium, and the communication with other hardware and software in the information processing computer device.

[0170] Through the description of the above implementation method, technical personnel in this field can clearly understand that the present application can be implemented by means of software plus necessary general hardware platform, and can also be implemented by hardware: receiving display information sent by the server and associated recommendation words of the target store corresponding to the display information, wherein the display information includes store information of the target store, and the associated recommendation words are determined according to the preset conditions of the store information of the target store and the store service authority; displaying the target page, wherein the target page includes a display module of the target store, and the display module displays the store information of the target store; displaying a recommendation control on the display module corresponding to the target store associated with the associated recommendation words, and displaying the associated recommendation words on the recommendation control; in response to a trigger operation on the recommendation control, sending the target associated recommendation words corresponding to the trigger operation to the server, so that the server can obtain the store information of the associated store according to the target associated recommendation words; displaying the store information of the associated store fed back by the server. Or, in response to a display request of a target page, determine the display information of the target page, wherein the display information includes the store information of the target store; if the target store meets the preset conditions of the store service authority, determine the associated recommendation words of the target store according to the preset conditions and the store information of the target store; send the display information and the associated recommendation words to the client, so that the client can display the store information of the target store on the display module of the target page, and display the recommendation control including the associated recommendation words on the display module corresponding to the target store associated with the associated recommendation words; if the target associated recommendation words sent by the client are received, obtain the store information of the associated store according to the target associated recommendation words, wherein the associated recommendation words include the target associated recommendation words; send the store information of the associated store to the client, so that the client can display the store information of the associated store. Compared with the prior art, on the one hand, by displaying the recommendation control with the associated recommendation words, when the target store cannot meet the user's wishes, more store search options that meet their own needs are provided to the user, and the user can perform efficient search of the associated store by operating the recommendation control, thereby realizing the extension of the action point and achieving the purpose of guiding the user to discover the relevant content of the target store, avoiding the situation that the user places an order but the store cannot provide the corresponding service. On the other hand, the associated recommended words are determined based on the store information of the target store of the user's needs and the preset conditions of the store service authority, so that the associated stores corresponding to the associated recommended words can meet the user's needs and can provide corresponding services, ensuring the accuracy of store recommendations and improving the accuracy of the user's search intention. On the other hand, the recommendation control is exposed on the target page, which reduces the user's search path and shows the associated stores of the target store to the user in a more convenient way, avoiding the user from blindly searching among many stores, and spending the least time and energy to find a suitable store or product, thereby improving the success rate of order completion and the user's shopping experience.

[0171] Those skilled in the art will appreciate that the accompanying drawings are only schematic diagrams of a preferred implementation scenario, and the modules or processes in the accompanying drawings are not necessarily necessary for implementing the present application. Those skilled in the art will appreciate that the modules in the devices in the implementation scenario can be distributed in the devices of the implementation scenario according to the description of the implementation scenario, or can be changed accordingly and located in one or more devices different from the present implementation scenario. The modules of the above-mentioned implementation scenario can be combined into one module, or can be further split into multiple submodules.

[0172] The above serial numbers of this application are only for description and do not represent the advantages and disadvantages of the implementation scenarios. The above disclosure is only a few specific implementation scenarios of this application, but this application is not limited to them, and any changes that can be thought of by technicians in this field should fall within the scope of protection of this application.

Claims

1. A store recommendation method, characterized in that: The method comprises: Receiving display information sent by a server and an associated recommendation word of a target store corresponding to the display information, wherein the display information includes store information of the target store, and the associated recommendation word is determined according to the store information of the target store and a preset condition of the store service authority; Displaying the target page, wherein the target page includes a display module of the target store, and the display module displays store information of the target store; Displaying a recommendation control on the display module corresponding to the target store associated with the associated recommendation word, and displaying the associated recommendation word on the recommendation control; In response to a trigger operation on the recommendation control, sending the target-related recommendation word corresponding to the trigger operation to a server, so that the server can obtain store information of the associated store according to the target-related recommendation word; The store information of the associated store fed back by the server is displayed.

2. The method according to claim 1, characterized in that The displaying the associated recommendation word on the recommendation control includes: The associated recommendation word whose type priority is greater than the first preset priority is displayed on the recommendation control.

3. The method according to claim 1, characterized in that The displaying of the recommendation control on the display module of the target store includes: If there are multiple related recommendation words of different types, multiple recommendation controls are displayed in order of priority of the types to which the related recommendation words belong, wherein the multiple recommendation controls correspond one-to-one to the multiple related recommendation words.

4. A store recommendation method, characterized in that: The method comprises: In response to a display request of a target page, determining display information of the target page, wherein the display information includes store information of a target store; If the target store meets the preset conditions of the store service authority, determining the associated recommendation words of the target store according to the preset conditions and the store information of the target store; Sending the display information and the associated recommendation word to a client, so that the client can display the store information of the target store on a display module of a target page, and display a recommendation control including the associated recommendation word on the display module corresponding to the target store associated with the associated recommendation word; If a target-related recommendation word sent by the client is received, store information of a related store is obtained according to the target-related recommendation word, wherein the related recommendation word includes the target-related recommendation word; The store information of the associated store is sent to the client so that the client can display the store information of the associated store.

5. The method according to claim 4, characterized in that The determining, according to the preset condition and the store information of the target store, the associated recommendation word corresponding to the target store includes: extracting candidate recommendation words from the store information of the target store according to the type of the associated recommendation words; Screening the candidate recommendation words according to the priority of the type to which the candidate recommendation words belong and / or the preset condition to obtain the associated recommendation words; Among them, the types of the associated recommendation words include at least one of the following: the name of the aggregated store, the name of the store, the store category, and the product name.

6. The method according to claim 4, characterized in that The method further comprises: If the target store is in a resting state, determining that the target store meets the preset condition; and / or, If the location information of the target user exceeds the delivery range of the target store, determining that the target store meets the preset condition; and / or, If the quantity of the target product in the target store is less than or equal to a first preset quantity, it is determined that the target store meets the preset condition; and / or, If the rights and interests information of the target store does not conform to the rights and interests authority corresponding to the target user, it is determined that the target store meets the preset condition.

7. A rights allocation device, characterized in that: The device comprises: A communication module, configured to receive display information sent by a server and associated recommendation words of a target store corresponding to the display information, wherein the display information includes store information of the target store, and the associated recommendation words are determined according to the store information of the target store and preset conditions of the store service authority; a display module, used to display the target page, wherein the target page includes a display module of the target store, and the display module displays store information of the target store; and Displaying a recommendation control on the display module corresponding to the target store associated with the associated recommendation word, and displaying the associated recommendation word on the recommendation control; The communication module is further configured to, in response to a trigger operation on the recommendation control, send the target-related recommendation word corresponding to the trigger operation to the server, so that the server can obtain store information of the associated store according to the target-related recommendation word; The display module is also used to display the store information of the associated store fed back by the server.

8. A store recommendation device, characterized in that: The device comprises: a determination module, configured to determine, in response to a display request of a target page, display information of the target page, wherein the display information includes store information of a target store; and If the target store meets the preset conditions of the store service authority, determine the associated recommendation words corresponding to the target store according to the preset conditions and the store information of the target store; A communication module, used for sending the display information and the associated recommendation word to a client, so that the client can display the store information of the target store on the display module of the target page, and display the recommendation control including the associated recommendation word on the display module corresponding to the target store associated with the associated recommendation word; an acquisition module, configured to, upon receiving a target-related recommendation word sent by a client, acquire store information of an associated store according to the target-related recommendation word, wherein the associated recommendation word includes the target-related recommendation word; The communication module is further used to send the store information of the associated store to the client, so that the client can display the store information of the associated store.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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