Subordinate entity searching method and device, electronic equipment and storage medium

Abstract

The invention relates to a subordinate entity searching method and device, electronic equipment and a storage medium, and belongs to the field of Internet. The method comprises the steps that a subordinate entity display page is displayed, at least one piece of recommendation information is displayed in the subordinate entity display page, and each piece of recommendation information comprises a recommendation search text; in response to a trigger operation on the first recommendation information, displaying a first search result corresponding to the first recommendation search text in the subordinate entity display page; wherein the first recommendation information is any piece of recommendation information displayed in the subordinate entity display page, the first recommendation search text is a recommendation search text in the first recommendation information, and the first search result comprises at least one subordinate entity matched with the first recommendation search text. The requirement for the management capability of the manager is reduced, and the management capability of the manager can be improved. Moreover, the operation of a manager is simplified, and the management efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the field of Internet, and in particular, to a subordinate entity search method and device, electronic equipment and storage medium. BACKGROUND

[0002] Chain stores uniformly manage multiple stores in a chain form, realizing a standardized, specialized and standardized management system. With the increasing number of stores under the chain stores, the management requirements for the stores are also increasing.

[0003] In the process of managing the stores, the manager needs to fully understand the operation of each store and has sufficient management ability to perform the management work, so the requirement for the management ability of the manager is high. SUMMARY

[0004] The present disclosure provides a subordinate entity search method, device, electronic equipment and storage medium, which reduces the requirement for the management ability of the manager and is beneficial to improving the management ability of the manager. Moreover, the operation of the manager is simplified, and the management efficiency is improved.

[0005] According to an aspect of an embodiment of the present disclosure, a subordinate entity search method is provided, which includes:

[0006] Displaying a subordinate entity display page, the subordinate entity display page being used to display subordinate entities belonging to the same entity;

[0007] In the subordinate entity display page, at least one recommendation information is displayed, and each recommendation information includes a recommendation search text used to search for subordinate entities belonging to the entity;

[0008] In response to a triggering operation on the first recommendation information, a first search result corresponding to the first recommendation search text is displayed in the subordinate entity display page;

[0009] The first recommendation information is any one of the recommendation information displayed in the subordinate entity display page, the first recommendation search text is the recommendation search text in the first recommendation information, and the first search result includes at least one subordinate entity matched with the first recommendation search text.

[0010] In some embodiments, the subordinate entity display page displays the first search result corresponding to the first recommendation search text in response to the triggering operation on the first recommendation information, including:

[0011] In response to the triggering operation on the first recommendation information, the analysis text of the large model and the first search result are displayed in the subordinate entity display page;

[0012] The analysis text is used to show an analysis process of the large model when searching based on the first recommended search text.

[0013] In some embodiments, in response to the triggering operation on the first recommended information, the analysis text of the large model and the first search result are displayed in the subordinate entity display page, including:

[0014] In response to the triggering operation on the first recommended information, each character in the analysis text is sequentially displayed in order in the subordinate entity display page until the analysis text is displayed, and then the first search result is displayed in the subordinate entity display page.

[0015] In some embodiments, in response to the triggering operation on the first recommended information, the analysis text of the large model and the first search result are displayed in the subordinate entity display page, including:

[0016] In response to the triggering operation on the first recommended information, a first prompt word is created, the first prompt word including the recommended search text and a first indication text, the first indication text being used to indicate that the large model searches in subordinate entities belonging to the entity based on the recommended search text.

[0017] The first prompt word is input into the large model, and the analysis text and the first search result are determined based on the first prompt word through the large model.

[0018] In some embodiments, the analysis text includes at least one of the following:

[0019] A subordinate entity label matched with the first recommended search text, and the first search result includes a subordinate entity having the subordinate entity label.

[0020] A method for determining a subordinate entity matched with the first recommended search text.

[0021] In some embodiments, the method further includes:

[0022] Based on at least one of subordinate entity scope, management responsibility scope, historical filtering conditions and historical search text of a currently logged-in account, at least one piece of recommended information is determined through a large model, the subordinate entity scope including subordinate entities belonging to the entity and allowing the account to search, and the management responsibility scope including at least one management matter responsible by the account.

[0023] In some embodiments, determining at least one piece of the recommended information based on at least one of the following data from the currently logged-in account: the scope of subordinate entities, the scope of management responsibilities, historical filtering conditions, and historical search text, through a large model includes:

[0024] Based on the at least one piece of data and the detailed data of each subordinate entity within the scope of the subordinate entity, at least one piece of the recommended information is determined through the large model.

[0025] In some embodiments, determining at least one piece of the recommended information based on at least one of the following data from the currently logged-in account: the scope of subordinate entities, the scope of management responsibilities, historical filtering conditions, and historical search text, through a large model includes:

[0026] Create a second prompt word, the second prompt word including the at least one piece of data and a second instruction text, the second instruction text being used to instruct the large model to determine recommendation information for recommending to the account based on the at least one piece of data;

[0027] The second prompt word is input into the large model, and the large model determines at least one piece of recommended information based on the second prompt word.

[0028] In some embodiments, the subordinate entity display page displays a search box, and the display of at least one recommendation message on the subordinate entity display page includes:

[0029] In response to the triggering operation of the search box, a recommended search page is displayed on the subordinate entity display page, and the recommended search page displays at least one of the recommended information.

[0030] In some embodiments, the subordinate entity display page displays a search box, and in response to a triggering operation on the first recommendation information, the first search result corresponding to the first recommended search text is displayed on the subordinate entity display page, including:

[0031] In response to a triggering operation on the first recommendation information, the first recommended search text is displayed in the search box;

[0032] The subordinate entity display page displays the first search result corresponding to the first recommended search text.

[0033] In some embodiments, each piece of recommendation information includes the recommended search text and a subordinate entity example corresponding to the recommended search text, wherein the subordinate entity example includes at least one subordinate entity that matches the recommended search text.

[0034] In some embodiments, displaying the subordinate entity display page includes:

[0035] In response to a triggering operation on a search control corresponding to the search box, the second search result corresponding to the second recommended search text is displayed in the subordinate entity display page, the second search result including at least one subordinate entity matching the second recommended search text.

[0036] In some embodiments, the method further includes:

[0037] In response to a triggering operation on a search control corresponding to the search box, the second search result corresponding to the second recommended search text is displayed in the subordinate entity display page, the second search result including at least one subordinate entity matching the second recommended search text.

[0038] According to still another aspect of the embodiments of the present disclosure, a subordinate entity search apparatus is provided, the apparatus including:

[0039] a page display unit configured to display a subordinate entity display page for displaying subordinate entities belonging to the same entity;

[0040] a recommendation display unit configured to display at least one recommendation information in the subordinate entity display page, each of the recommendation information including a recommended search text for searching for a subordinate entity belonging to the entity;

[0041] a search display unit configured to display, in response to a triggering operation on a first recommendation information, a first search result corresponding to a first recommended search text in the subordinate entity display page;

[0042] wherein the first recommendation information is any one of the recommendation information displayed in the subordinate entity display page, the first recommended search text is the recommended search text in the first recommendation information, and the first search result includes at least one subordinate entity matching the first recommended search text.

[0043] In some embodiments, the search display unit is configured to display, in response to the triggering operation on the first recommendation information, an analysis text of a large model and the first search result in the subordinate entity display page.

[0044] wherein the analysis text is used to display an analysis process of the large model based on the first recommended search text.

[0045] In some embodiments, the search display unit is configured to display, in response to the triggering operation on the first recommendation information, each character in the analysis text in sequence according to an order in the subordinate entity display page, and after the analysis text is displayed, display the first search result in the subordinate entity display page.

[0046] In some embodiments, the search display unit is configured to, in response to the triggering operation on the first recommendation information, create a first prompt word, the first prompt word including the recommended search text and a first instruction text, the first instruction text being used to instruct the large model to search within subordinate entities belonging to the entity based on the recommended search text; input the first prompt word into the large model, and through the large model, determine the analysis text and the first search result based on the first prompt word.

[0047] In some embodiments, the analyzed text includes at least one of the following:

[0048] The subordinate entity tags that match the first recommended search text, and the first search result includes subordinate entities having the subordinate entity tags;

[0049] A method for determining subordinate entities that match the first recommended search text.

[0050] In some embodiments, the apparatus further includes:

[0051] The recommendation unit is configured to determine at least one piece of recommendation information based on at least one of the following data: the scope of subordinate entities of the currently logged-in account, the scope of management responsibilities, historical filtering conditions, and historical search text, through a large model. The scope of subordinate entities includes subordinate entities that belong to the entity and are allowed to be searched by the account. The scope of management responsibilities includes at least one management matter that the account is responsible for.

[0052] In some embodiments, the recommendation unit is configured to determine at least one piece of recommendation information based on the at least one piece of data and the detailed data of each subordinate entity within the scope of the subordinate entities, using the large model.

[0053] In some embodiments, the recommendation unit is configured to create a second prompt word, the second prompt word including the at least one piece of data and a second instruction text, the second instruction text being used to instruct the big model to determine recommendation information for recommending to the account based on the at least one piece of data; input the second prompt word into the big model, and through the big model, determine at least one piece of recommendation information based on the second prompt word.

[0054] In some embodiments, the subordinate entity display page displays a search box, and the recommendation display unit is configured to display a recommended search page in the subordinate entity display page in response to a triggering operation on the search box, wherein the recommended search page displays at least one of the recommended information.

[0055] In some embodiments, the subordinate entity display page displays a search box, and the search display unit is configured to display the first recommended search text in the search box in response to a triggering operation on the first recommended information; and to display the first search result corresponding to the first recommended search text in the subordinate entity display page.

[0056] In some embodiments, each piece of recommendation information includes the recommended search text and a subordinate entity example corresponding to the recommended search text, wherein the subordinate entity example includes at least one subordinate entity that matches the recommended search text.

[0057] In some embodiments, the page display unit is configured to display a second recommended search text in the search box of the subordinate entity display page when the subordinate entity display page is opened.

[0058] In some embodiments, the search display unit is further configured to, in response to a triggering operation of the search control corresponding to the search box, display a second search result corresponding to the second recommended search text in the subordinate entity display page, wherein the second search result includes at least one subordinate entity that matches the second recommended search text.

[0059] According to another aspect of the present disclosure, an electronic device is provided, the electronic device comprising:

[0060] processor;

[0061] Memory used to store the processor's executable instructions;

[0062] The processor is configured to execute the instructions to implement the subordinate entity search method as described above.

[0063] According to another aspect of the present disclosure, a computer-readable storage medium is provided, wherein instructions in the computer-readable storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the subordinate entity search method as described above.

[0064] According to another aspect of the present disclosure, a computer program product is provided, including a computer program that, when executed by a processor, implements the subordinate entity search method as described above.

[0065] This disclosure provides a scheme for searching subordinate entities. It proactively displays recommended search text to managers, guiding them to search based on this text. The search results include subordinate entities matching the recommended search text. Managers do not need to consider which search text to use to manage subordinate entities; they only need to select the required search text from the recommendations. This reduces the demands on managers' management skills and helps them learn to use the recommended search text to filter subordinate entities, thus improving their management capabilities. Furthermore, it eliminates the need for managers to manually input search text, simplifying the process and improving management efficiency.

[0066] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0067] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0068] Figure 1 This is a schematic diagram illustrating an implementation environment according to an exemplary embodiment.

[0069] Figure 2 This is a flowchart illustrating a subordinate entity search method according to an exemplary embodiment.

[0070] Figure 3 This is a flowchart illustrating another subordinate entity search method according to an exemplary embodiment.

[0071] Figure 4 This is a schematic diagram illustrating a subordinate entity display page according to an exemplary embodiment.

[0072] Figure 5 This is a schematic diagram illustrating a recommendation search window according to an exemplary embodiment.

[0073] Figure 6 This is a schematic diagram illustrating an analysis of text according to an exemplary embodiment.

[0074] Figure 7 This is a schematic diagram illustrating another method of analyzing text according to an exemplary embodiment.

[0075] Figure 8 This is a flowchart illustrating another subordinate entity search method according to an exemplary embodiment.

[0076] Figure 9 This is a schematic diagram illustrating the operation flow of a subordinate entity search method according to an exemplary embodiment.

[0077] Figure 10 This is a block diagram illustrating a subordinate entity search device according to an exemplary embodiment.

[0078] Figure 11 This is a block diagram illustrating an electronic device according to an exemplary embodiment. Detailed Implementation

[0079] To enable those skilled in the art to better understand the technical solutions of this disclosure, the technical solutions in the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings.

[0080] It should be noted that the terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0081] It should be noted that the user information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.), and signals involved in this disclosure are all authorized by the user or fully authorized by all parties. The collection, use, and processing of related data shall comply with the relevant laws, regulations, and standards of the relevant countries and regions.

[0082] The subordinate entity management method provided in this disclosure is executed by an electronic device, which can be at least one of the following: a smartphone, a smartwatch, a desktop computer, a laptop, a wireless terminal, and a laptop computer.

[0083] Figure 1 This is a schematic diagram of an implementation environment provided in this embodiment of the disclosure. See also: Figure 1 The implementation environment includes: electronic device 101 and server 102.

[0084] Electronic device 101 has communication capabilities and can access wired or wireless networks to connect to server 102. Electronic device 101 may refer to one of a plurality of electronic devices, and those skilled in the art will understand that the number of such electronic devices may be greater or less.

[0085] Server 102 can be a standalone physical server, a server cluster consisting of multiple physical servers, or a distributed file system. It can also be a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms. In some embodiments, server 102 and electronic device 101 are directly or indirectly connected via wired or wireless communication, which is not limited in this embodiment. In some embodiments, the number of servers 102 can be more or less, which is not limited in this embodiment. Of course, server 102 may also include other functional servers to provide more comprehensive and diversified services. Server 102 undertakes the main computing work, and electronic device 101 undertakes secondary computing work; or, server 102 undertakes secondary computing work, and electronic device 101 undertakes the main computing work; or, server 102 or electronic device 101 can each independently undertake computing work, which is not limited in this embodiment.

[0086] Electronic device 101 is used to display the subordinate entity display page and manage the subordinate entities through the subordinate entity display page. Server 103 is used to provide backend services for electronic device 101, including storing data of each subordinate entity, storing the subordinate entity range of each account, and performing searches based on the search text provided by electronic device 101.

[0087] In some embodiments, electronic device 101 runs an entity management application, which displays subordinate entity display pages. In other embodiments, server 102 provides subordinate entity display pages, and electronic device 101 displays these pages by entering their addresses in a browser.

[0088] The subordinate entity display page includes a search box for administrators to enter search text. Electronic device 101 retrieves this search text and sends it to server 102. Server 102 performs a search based on the search text and returns the search result to electronic device 101, which then displays the search result on the subordinate entity display page. Furthermore, the subordinate entity display page can also display at least one recommendation message, which includes recommended search text. Administrators only need to trigger any recommendation message to perform a search based on the recommended search text within that message, eliminating the need for manual input of search text.

[0089] In some embodiments, server 102 is configured with a large model, which can determine the recommended information displayed on the subordinate entity display page of electronic device 101. Furthermore, the large model can also be used to perform searches based on search text to obtain search results corresponding to the search text.

[0090] Figure 2 This is a flowchart illustrating a subordinate entity search method according to an exemplary embodiment, see [link to flowchart]. Figure 2 This method is performed by an electronic device and includes the following steps:

[0091] In step 201, the electronic device displays a subordinate entity display page, which is used to display subordinate entities that belong to the same entity.

[0092] The entity can be a store, enterprise, company, etc., and subordinate entities are its subordinate units. For example, if the entity is a chain store, the subordinate entities are the stores belonging to that chain store; or, if the entity is an enterprise, the subordinate entities are the departments of that enterprise, or the subsidiaries of that enterprise. The same entity can include at least two subordinate entities, and the manager of the entity needs to manage not only the entity itself, but also the subordinate entities belonging to that entity.

[0093] In some embodiments, when an electronic device is logged into an account, a subordinate entity display page is displayed. This account has a corresponding scope of subordinate entities, which includes all subordinate entities belonging to that entity and allowing the account to search. For example, if the electronic device is logged into an account owned by a manager of a chain store, then the account's scope of subordinate entities includes at least one store belonging to that chain store, and these stores allow the account to search. However, stores not belonging to this scope of subordinate entities are not allowed to be searched by the account.

[0094] For example, subordinate entity scopes can be divided according to different geographical regions, meaning each geographical region represents a subordinate entity scope. An account logged into an electronic device has a corresponding geographical region and can only manage subordinate entities belonging to that geographical region, not subordinate entities belonging to other regions. Alternatively, subordinate entity scopes can be divided according to different business categories, meaning each business category represents a subordinate entity scope. An account logged into an electronic device has a corresponding business category and can only manage subordinate entities belonging to that business category, not subordinate entities belonging to other business categories. Furthermore, subordinate entity scopes can also be divided according to other criteria, which are not limited in this embodiment.

[0095] In some embodiments, the account logged into the electronic device has a corresponding scope of management responsibilities. This scope includes at least one management task the account is responsible for, such as renovation, human resources, procurement, and group-buying coupon redemption. The scope of management responsibilities varies depending on the manager's position. For example, a store manager's account might include all management responsibilities, while a redemption clerk's account might include group-buying coupon redemption but exclude other responsibilities. Furthermore, the electronic device can display data matching the scope of management responsibilities, while excluding data that does not. For instance, a redemption clerk's account can display data related to group-buying coupon redemption for at least one subordinate entity, such as redemption count, redemption amount, and redemption time, but cannot display data unrelated to group-buying coupon redemption, such as employee onboarding and offboarding records.

[0096] In step 202, the electronic device displays at least one piece of recommendation information on the subordinate entity display page, and each piece of recommendation information includes recommended search text.

[0097] On the subordinate entity display page, the electronic device displays at least one piece of recommended information to the manager. The recommended information includes recommended search text, which is used to search for subordinate entities belonging to the entity. After seeing the recommended search text, the manager can consider using the recommended search text to perform the search.

[0098] In step 203, in response to the triggering operation of the first recommendation information, the electronic device displays the first search result corresponding to the first recommended search text on the subordinate entity display page.

[0099] Wherein, the first recommended information is any recommended information displayed on the subordinate entity display page, the first recommended search text is the recommended search text in the first recommended information, and the first search result includes at least one subordinate entity that matches the first recommended search text.

[0100] Once the administrator triggers the first recommended information, the first search result will be automatically obtained based on the first recommended search text, without the administrator needing to consider which search text to use or manually enter the first recommended search text. The triggering operation for the first recommended information can be clicking on the first recommended information, long-pressing the first recommended information, dragging the first recommended information to a specified area, etc., and this embodiment does not limit the specific actions taken in this way.

[0101] In some embodiments, the recommended search text in each recommendation message is text used to manage subordinate entities. Managers use the recommended search text to search, and the search results include subordinate entities that match the recommended search text. Managers can then view the search results and perform management operations on the subordinate entities listed. Therefore, the recommended search text helps managers quickly filter the necessary subordinate entities from a large pool, thus assisting in the management of subordinate entities.

[0102] This disclosure provides a scheme for searching subordinate entities. It proactively displays recommended search text to managers, guiding them to search based on this text. The search results include subordinate entities matching the recommended search text. Managers do not need to consider which search text to use to manage subordinate entities; they only need to select the required search text from the recommendations. This reduces the demands on managers' management skills and helps them learn to use the recommended search text to filter subordinate entities, thus improving their management capabilities. Furthermore, it eliminates the need for managers to manually input search text, simplifying the process and improving management efficiency.

[0103] The above Figure 2 The diagram shown is only the basic process of this disclosure. The following is a further explanation of the solution provided in this disclosure based on a specific implementation method. Figure 3 This is a flowchart illustrating another subordinate entity search method according to an exemplary embodiment, the method being performed by an electronic device, see [link to flowchart]. Figure 3 The method includes the following steps:

[0104] In step 301, the electronic device displays a subordinate entity display page, which is used to display subordinate entities belonging to the same entity. The subordinate entity display page displays a search box, and the search box displays a second recommended search text.

[0105] Step 301 is the same as step 201, and the repeated content will not be repeated.

[0106] The subordinate entity display page provides a search function. The subordinate entity display page displays a search box where managers can enter search text. The electronic device can then perform a search based on the search text entered in the search box and display the search results corresponding to the search text on the subordinate entity display page. The search results include subordinate entities that match the search text, and the data of the subordinate entities can be displayed.

[0107] In this embodiment of the disclosure, when the subordinate entity display page is opened, a second recommended search text is displayed in the search box of the subordinate entity display page. The second recommended search text is a search text recommended for use by the manager.

[0108] The second recommended search text may be a search text randomly determined by the electronic device, or a search text selected from all search texts used by all accounts, or a search text selected from search texts used by the currently logged-in account, or a search text automatically determined for the currently logged-in account by a large model, etc. This disclosure does not limit the scope of the search text.

[0109] In some embodiments, the subordinate entity display page displays a search box and a search control. When a second recommended search text is displayed in the search box, the administrator can directly trigger the search control to perform a search based on the second recommended search text. That is, the method further includes: in response to triggering the search control corresponding to the search box, displaying a second search result corresponding to the second recommended search text in the subordinate entity display page. The second search result includes at least one subordinate entity that matches the second recommended search text. Alternatively, the administrator can also trigger the search box, re-enter new search text in the search box, and then perform a search. The process by which the electronic device obtains search results based on the search text is the same as the process in step 303 below for obtaining the first search result based on the first recommended search text, and therefore will not be described again here.

[0110] See Figure 4 The store display page shows a search box 401, which displays the second recommended search text 402, "Focus on managing stores today." Additionally, the store display page also shows a search control 403, which triggers a search process based on the search text in the search box 401.

[0111] By displaying a second recommended search text in the search box when opening the subordinate entity display page, a pre-recommendation function can be implemented, suggesting usable search texts to managers and guiding them to manage subordinate entities by searching. If managers want to use the second recommended search text, they can directly trigger the search control to obtain the corresponding second search result. If managers do not want to use the second recommended search text, they can enter other search texts in the search box or trigger other recommended information provided on the subordinate entity display page, thus providing managers with multiple options and high flexibility.

[0112] In step 302, in response to the triggering operation of the search box, the electronic device displays a recommended search page in the subordinate entity display page. The recommended search page displays at least one recommended information. Each recommended information includes recommended search text and a subordinate entity example corresponding to the recommended search text. The subordinate entity example includes at least one subordinate entity that matches the recommended search text.

[0113] The triggering operation for the search box can be clicking the search box, long-pressing the search box, or sliding the search box upwards, etc. This disclosure does not limit the specific actions taken.

[0114] After the search box is triggered, the electronic device displays a recommended search page within the subordinate entity display page. For example, a recommended search window pops up on the subordinate entity display page, displaying at least one recommended item. This recommended search window appears above the subordinate entity display page, obscuring part of the subordinate entity display page's content. Alternatively, the electronic device may move existing information on the subordinate entity display page to free up a portion of the page area for the recommended search page, displaying at least one recommended item.

[0115] When the subordinate entity display page is opened, at least one recommended message is not displayed directly. Instead, it waits for the administrator to trigger the search box before displaying at least one recommended message. This is because triggering the search box indicates that the administrator needs to use the search function. Recommended messages for searching are only displayed when the administrator needs to use the search function. When the administrator does not need to use the search function, not all recommended messages are displayed. This can effectively save display area on the subordinate entity display page, avoid interfering with the administrator's viewing of the information on the subordinate entity display page, and also promptly recommend search text to the administrator when needed.

[0116] Each recommendation message includes not only the recommended search text but also corresponding subordinate entity examples. These subordinate entity examples represent the subordinate entities that would be included in the search results obtained based on the recommended search text. This increases the information content of the recommendation message, allowing administrators to view at least one subordinate entity corresponding to the recommended search text. In some embodiments, each recommendation message may also include a number of subordinate entities, representing the number of subordinate entities included in the search results obtained based on the recommended search text.

[0117] See Figure 4 and Figure 5 After the manager clicks the search box 401, a recommended search window 501 will be displayed on the store display page. The recommended search window 501 displays multiple recommended information. For example, the first recommended information shows "Today's key operating stores: 14 stores including Kaifeng store and Jiangzhou store>", which means that the manager is recommended to use "Today's key operating stores" as the search text. If this search text is used, the search results will include 14 stores such as "Kaifeng store" and "Jiangzhou store".

[0118] See Figure 5In the recommended search window 501, recommended information is provided under four directions: "Operational Direction", "Fluctuation Analysis", "Store Early Warning" and "Frequently Used Searches". Managers can view and select these options. Managers can learn about the recommended search texts that can be used under different directions, so as to think about how to manage stores in a targeted and directional way, thereby improving their management capabilities.

[0119] In some embodiments, the recommended search text includes at least one of the following:

[0120] 1. Used to search for text of subordinate entities that require focused management.

[0121] For example, the recommended search text includes "Key subordinate entities to manage today." If a manager triggers this recommended search text, the subordinate entity display page will show the subordinate entities that the manager needs to focus on managing today, thereby guiding the manager to pay attention to these subordinate entities.

[0122] 2. Used to search for text of subordinate entities that need additional resources.

[0123] The resources can be human resources, material resources, financial resources, etc., and this embodiment of the disclosure does not limit them. For example, the recommended search text includes "Today's recommended subsidies for subordinate entities". If the manager triggers the recommended search text, the subordinate entities that need the manager's subsidies today will be displayed on the subordinate entity display page, thereby guiding the manager to subsidize these subordinate entities.

[0124] 3. Used to search for text of subordinate entities that need to have product categories added.

[0125] For example, the recommended search text includes "Today's recommended subordinate entities for expanding product categories". If the manager triggers this recommended search text, the subordinate entity display page will show the subordinate entities that the manager needs to expand product categories for today, thereby guiding the manager to increase the product categories of these subordinate entities.

[0126] 4. Used to search for text of subordinate entities that need to have their product quantity increased.

[0127] For example, the recommended search text includes "Today's recommended incremental subordinate entities". If the manager triggers this recommended search text, the subordinate entity display page will show the subordinate entities that need the manager to increase the quantity of goods today, thereby guiding the manager to replenish these subordinate entities.

[0128] 5. Used to search for the text of subordinate entities that have seen the largest increase in the number of resources received.

[0129] Within subordinate entities, users exchange resources for items provided by those entities. Subordinate entities receive resources, and the amount received indicates their operational status. For example, if the recommended search text includes "subordinate entity with the largest increase in payment amount yesterday," and the administrator triggers this search text, the subordinate entity display page will show the subordinate entity with the largest increase in payment amount yesterday.

[0130] 6. Used to search for the text of subordinate entities that have experienced the largest decrease in the number of resources received.

[0131] For example, the recommended search text includes "the subordinate entity with the largest decrease in payment amount yesterday". If the manager triggers this recommended search text, the subordinate entity with the largest decrease in payment amount yesterday will be displayed on the subordinate entity display page.

[0132] 7. Used to search for the text of subordinate entities with abnormal status.

[0133] The status of subordinate entities may include different aspects such as review status, operational status, and public evaluation status, and this disclosed embodiment does not limit this.

[0134] For example, recommended search texts include "subordinate entities with abnormal audit status" or "subordinate entities with abnormal evaluation status". If an administrator triggers such a recommended search text, subordinate entities with abnormal status will be displayed on the subordinate entity display page, thereby guiding the administrator to investigate the reasons for the abnormality of these subordinate entities.

[0135] 8. Text used to search for subordinate entities of products that have abnormal listing or delisting status.

[0136] For example, if the recommended search text is "subsidiary entities with abnormal product listing / delisting", and the administrator triggers this recommended search text, the subordinate entities with abnormal product listing / delisting will be displayed on the subordinate entity display page, thereby guiding the administrator to investigate the reasons for the abnormality of these subordinate entities.

[0137] 9. Text used to search for subordinate entities that are at risk.

[0138] For example, the recommended search text includes "subordinate entities with risk control abnormalities". If a manager triggers this recommended search text, the subordinate entities with risk control abnormalities will be displayed on the subordinate entity display page, thereby guiding the manager to investigate the reasons for the abnormalities of these subordinate entities.

[0139] 10. Used to search for the text of subordinate entities with reconciliation errors.

[0140] Anomalies in reimbursement can include anomalies in the number of reimbursements, anomalies in the amount of reimbursements, and anomalies in the trend of changes in the amount of reimbursements, etc., and this embodiment of the disclosure does not limit these. For example, the recommended search text includes "subordinate entities with abnormal reimbursement counts". If the manager triggers the recommended search text, the subordinate entities with abnormal reimbursements will be displayed on the subordinate entity display page, thereby guiding the manager to investigate the reasons for the anomalies of these subordinate entities.

[0141] 11. Search texts that meet the recommended criteria in terms of the number of times used within the preset time period before the current moment.

[0142] The usage frequency meeting the recommendation criteria may include: the highest usage frequency, or ranking in the top N positions where N is an integer greater than 1, or the usage frequency exceeding a preset number, etc., and this embodiment does not limit this. If the usage frequency meets the recommendation criteria, it means that the administrator has frequently used the search text in the past, so the search text will also be recommended to the administrator this time. The administrator can directly use the search text by triggering it, without having to manually enter the search text in the search box.

[0143] For example, recommended search texts include "active subordinate entities in East China" and "subordinate entities I am responsible for".

[0144] The search text used by the manager can include search text entered by the manager in the search box, or search text determined by the filter criteria selected by the manager in the filter area. The subordinate entity display page includes a filter area with one or more filter criteria for the manager to choose from. After selecting a filter criterion, subordinate entities matching that filter criterion will be displayed on the subordinate entity display page, while those not matching the filter criterion will not be displayed. For example, see... Figure 4 Below the search box 401 are the filter area 404 and the store display area 405. The store display area 405 displays stores within the currently logged-in account's store range. In filter area 404, the administrator selected "Guangdong Province," "Hebei Province," and "Shandong Province" for "Location," "Food" and "Catering" for "Main Category," "Normal" for "Operating Status," and "Passed Qualification Review." This means the filter criteria are "stores located in Guangdong, Hebei, or Shandong Province, with a main category of food or catering, a normal operating status, and passed qualification review." Stores meeting these criteria will then be displayed in store display area 405. Therefore, based on these criteria, the corresponding search text is "stores located in Guangdong, Hebei, or Shandong Province, with a main category of food or catering, a normal operating status, and passed qualification review."

[0145] In addition to the 11 types of recommended search texts mentioned above, other recommended search texts may also be displayed on the subordinate entity display page, and this embodiment does not limit this.

[0146] In this embodiment of the disclosure, one or more recommended search texts can be recommended to the manager from different perspectives, indicating the search direction for the manager and ensuring the diversity of recommendations. This maximizes the amount of information in the recommendations and increases the probability that the manager will use the recommended search texts, thereby improving the accuracy of the recommendations.

[0147] In some embodiments, the electronic device determines at least one recommendation based on at least one of the following data: the scope of subordinate entities of the currently logged-in account, the scope of management responsibilities, historical filtering conditions, and historical search text, using a large model.

[0148] The scope of subordinate entities includes all subordinate entities that are part of the main entity and are allowed to be searched by the account. The scope of management responsibilities includes at least one management task that the account is responsible for. Historical filter criteria are those previously used by the account, such as filters used within a preset timeframe (e.g., one month, one week), or the most frequently used filters within a preset timeframe (e.g., the most frequently used filters within one month). Historical search text is the search text previously used by the account, such as searches used within a preset timeframe (e.g., one month, one week), or the most frequently used search text within a preset timeframe (e.g., the most frequently used search text within one month).

[0149] The large-scale model is an artificial intelligence model with a large number of parameters, constructed from artificial neural networks and trained on massive datasets through self-supervised or semi-supervised learning. It possesses the ability to search within large datasets. Electronic devices input at least one of the following data points into the large-scale model: the scope of subordinate entities of the account, the scope of management responsibilities, historical filtering conditions, and historical search text. The large-scale model then determines at least one recommendation. It can provide personalized recommendations based on the manager's characteristics, offering greater flexibility and applicability to managers in different positions. Furthermore, it ensures that the recommended subordinate entities do not exceed the manager's authorized scope, effectively controlling the manager's management authority.

[0150] Furthermore, it should be noted that due to the high level of intelligence of the large-scale model, the recommended search text in the recommendation information determined by the large-scale model includes not only the text contained in the details data of the subordinate entities, but also text not contained in the details data of the subordinate entities. Accordingly, when searching for subordinate entities that match the recommended search text using the large-scale model, it can not only search for subordinate entities whose details data include the recommended search text itself, but also search for subordinate entities whose details data do not include the recommended search text itself, but which still match the recommended search text.

[0151] For example, the detailed data of subordinate entities may not include text such as "key management", but the recommended search text determined by the large model may include "subordinate entities to be key management today". If the large model performs a search based on this recommended search text, it can analyze and summarize the detailed data of each subordinate entity to select the subordinate entities that need to be key management today as the search results corresponding to the recommended search text.

[0152] In some embodiments, the electronic device determines at least one recommendation based on at least one of the following: the scope of subordinate entities of the account, the scope of management responsibilities, historical filtering conditions, and historical search text, along with the detailed data of each subordinate entity. The subordinate entities can be any entity within the scope of the account's subordinate entities, or any entity from all subordinate entities. The detailed data of a subordinate entity can include fixed information such as its name, address, ID (identity), and city, as well as dynamic data such as payment amount, sales volume, number of live streams, and business status within each period. The large model can refer to the detailed data of each subordinate entity to determine the recommended search text needed by the manager when managing subordinate entities, thereby creating recommendation information containing that recommended search text and displaying it to the manager. This ensures that the displayed recommendation information matches the actual status of the subordinate entities, making the recommended search text more aligned with the management needs of the subordinate entities, thus resulting in higher recommendation accuracy.

[0153] In some embodiments, determining at least one piece of recommended information using a large model based on at least one of the following data: the scope of subordinate entities of the currently logged-in account, the scope of management responsibilities, historical filtering conditions, and historical search text, includes: creating a second prompt word, the second prompt word including the at least one piece of data and a second instruction text, the second instruction text being used to instruct the large model to determine recommended information for recommendation to the account based on the at least one piece of data; inputting the second prompt word into the large model, and determining at least one piece of recommended information based on the second prompt word using the large model.

[0154] For example, the second prompt word could be "Please recommend some text for searching subordinate entities based on at least one of the following data (i.e., scope of subordinate entities, scope of management responsibilities, historical filtering conditions, and historical search texts)." Inputting this second prompt word into the large model will allow it to make recommendations according to the prompt word's instructions. Alternatively, the second prompt text could also require that "the recommended information should include not only the recommended search text, but also the number of subordinate entities and examples of subordinate entities in the search results obtained if that search text is used." The large model will then determine the recommended search text, the number of subordinate entities corresponding to that search text, and examples of subordinate entities based on the second prompt word's instructions.

[0155] See Figure 4 In the search box 401 on the store display page, there is a smart filter label 406. The smart filter label 406 is used to indicate that the search text entered into the search box 401 will be searched through an artificial intelligence big model, and the search results obtained are intelligent search results determined by the big model.

[0156] In some embodiments, after determining at least one piece of recommendation information through a large model, any one of the recommended search texts from the recommended search texts in the at least one piece of recommendation information is selected as the second recommended search text and displayed in the search box.

[0157] It should be noted that when determining at least one piece of recommended information using a large model, the actual search process can be performed to determine the search results corresponding to the recommended search text in each piece of recommended information. Once the administrator selects one of the recommended pieces of information, the search results corresponding to the recommended search text in that piece of information can be directly displayed. Alternatively, when determining at least one piece of recommended information using a large model, although the number of subordinate entity examples or subordinate entities corresponding to the recommended search text can be determined, the search process is not yet fully completed. Therefore, the search results corresponding to the recommended search text in the recommended information are not yet determined. Once the administrator selects one of the recommended pieces of information, the large model can be used to search for the recommended search text in that piece of information to obtain the search results.

[0158] In step 303, in response to the triggering operation of the first recommendation information, the electronic device displays the first recommended search text in the search box and displays the first search result corresponding to the first recommended search text in the subordinate entity display page.

[0159] This embodiment of the disclosure uses the example of an administrator triggering the first recommendation information to illustrate the search process. The same principle applies to triggering other recommendation information, and will not be repeated here.

[0160] The first recommended information is any recommended item displayed on the subordinate entity display page. The triggering action for the first recommended information can be clicking, long-pressing, or swiping it. The first recommended search text is the recommended search text within the first recommended information. Once the first recommended information is triggered, it's assumed the administrator wants to use the first recommended search text for a search. Therefore, the electronic device will automatically fill the search box with the first recommended search text and initiate the search process, performing a search based on the first recommended search text to obtain the first search result, which will then be displayed on the subordinate entity display page.

[0161] By automatically displaying the first recommended search text in the search box when the first recommended information is triggered, the process of initiating a search based on the first recommended search text is initiated, eliminating the need for administrators to manually enter search text in the search box, thus simplifying the administrator's operation and improving search efficiency.

[0162] In some embodiments, the first search result may include at least two subordinate entities. These subordinate entities may be displayed in a list format, a grid format, or other formats. This disclosure does not limit the display format of the subordinate entities. Furthermore, the subordinate entity display page may display data for each subordinate entity in the first search result, including name, address, tags, business status, ID, account, city, payment amount, sales volume, number of live streams, etc. It also includes a view details control for each subordinate entity. Triggering the view details control for any subordinate entity will display its detailed data.

[0163] In some embodiments, in response to a triggering operation on the first recommended information, the electronic device displays the analysis text of the large model and the first search result on the subordinate entity display page. The analysis text is used to demonstrate the analysis process of the large model when it searches based on the first recommended search text. By displaying the analysis text and the first search result, the amount of information displayed is increased. Managers can not only view the first search result, but also view the analysis text to understand the analysis process of the large model, thereby learning relevant management experience.

[0164] After acquiring the analysis text of the large model, the electronic device can display the analysis text all at once on the subordinate entity display page, or it can display the analysis text dynamically, such as displaying each character of the analysis text sequentially, to simulate the effect of displaying the dynamic analysis process of the large model. See also Figure 6 The electronic device displays the analysis text 601 on the subordinate entity display page, and will display each character of the analysis text in sequence until the entire analysis text 601 is displayed. The fully displayed analysis text 601 is as follows:Figure 7 As shown.

[0165] In some embodiments, the analyzed text includes at least one of the following 1 and 2:

[0166] 1. Subordinate entity tags that match the first recommended search text. The first search result includes subordinate entities with subordinate entity tags.

[0167] Electronic devices assign subordinate entity tags to their subordinate entities. These tags represent the characteristics of the subordinate entities; different subordinate entities can have the same tag or different tags. The large-scale model can analyze the first recommended search text to identify the search intent corresponding to it, thereby determining the subordinate entity tags that match the first recommended search text. This indicates that subordinate entities with those tags are those that align with the search intent of the first recommended search text. Therefore, by displaying these subordinate entity tags in the analyzed text and showing subordinate entities with these tags in the first search result, managers can understand what kind of tags match the first recommended search text and which subordinate entities possess these tags. This helps managers develop an understanding of subordinate entities with various tags, enabling them to manage different tags more effectively and improve their management experience.

[0168] See Figure 7 The analysis text provides two store labels for "key management stores": "high payment GMV (Gross Merchandise Volume)" and "stores in popular business districts and of large scale", indicating that stores with these two store labels are stores that need to be managed with priority.

[0169] 2. A method for determining subordinate entities that match the first recommended search text.

[0170] The large model also analyzes the primary recommended search text to identify the search intent it corresponds to. This analysis then determines the method for identifying subordinate entities that match the primary recommended search text. Only after this method is used to identify the subordinate entities matching the primary recommended search text will the analysis text demonstrate the large model's method for identifying subordinate entities matching the primary recommended search text, thereby improving management experience in this area.

[0171] See Figure 7The analysis text includes three methods for identifying high-paying GMV stores: "1. Whether they are at a high level across all stores," "2. Whether they are at a high level within the industry," and "3. Stores with significant recent growth." After reading the analysis text, managers can learn how to identify high-paying GMV stores.

[0172] In some embodiments, in response to a triggering operation on the first recommendation information, the electronic device displays the analysis text of the large model and the first search result on the subordinate entity display page, including: in response to the triggering operation on the first recommendation information, the electronic device creates a first prompt word, the first prompt word including recommended search text and first instruction text, the first instruction text being used to instruct the large model to search in the subordinate entities belonging to the entity based on the recommended search text, then the electronic device inputs the first prompt word into the large model, and through the large model, determines the analysis text and the first search result based on the first prompt word.

[0173] For example, the first suggestion word could be "Please search for matching subordinate entities belonging to entity A based on the following text (i.e., recommended search text)." When the first suggestion word is input into the large model, the model will perform the search according to its instructions. Furthermore, the large model can access the detailed data of the subordinate entities belonging to entity A, and based on this detailed data, it searches for subordinate entities that match the recommended search text, constructing the first search result from the data of these subordinate entities.

[0174] This disclosure provides a scheme for searching subordinate entities. It proactively displays recommended search text to managers, guiding them to search based on this text. The search results include subordinate entities matching the recommended search text. Managers do not need to consider which search text to use to manage subordinate entities; they only need to select the required search text from the recommendations. This reduces the demands on managers' management skills and helps them learn to use the recommended search text to filter subordinate entities, thus improving their management capabilities. Furthermore, it eliminates the need for managers to manually input search text, simplifying the process and improving management efficiency.

[0175] Figure 8 This is a flowchart illustrating another subordinate entity search method according to an exemplary embodiment, the method being performed by an electronic device and a server, see [link to flowchart]. Figure 8 The method includes the following steps:

[0176] In step 801, the electronic device sends a subordinate entity management request to the server, and the subordinate entity management request carries the account of the electronic device.

[0177] In some embodiments, when an electronic device opens a management application and logs in to the management application based on its account, the electronic device sends a subordinate entity management request to the server through the management application. This management application is used to manage one or more entities, and also to manage the subordinate entities belonging to each entity.

[0178] In other embodiments, the electronic device enters an address for managing subordinate entities in a browser and enters the account of the electronic device, thereby sending a subordinate entity management request carrying the account to the server corresponding to the address.

[0179] In step 802, the server receives the subordinate entity management request and, in response to the subordinate entity management request, obtains the page data corresponding to the account.

[0180] The data on this page is used to display the subordinate entities corresponding to the account. This data may include information about subordinate entities within the scope of the account's subordinate entities, such as the name, address, tags, business status, ID, account, city, payment amount, sales volume, and number of live stream sessions of the subordinate entities. This embodiment of the disclosure does not limit this information.

[0181] In step 803, the server determines at least one recommendation based on at least one of the following data: the scope of subordinate entities of the account, the scope of management responsibilities, historical filtering conditions, and historical search text, using a large model.

[0182] In step 804, the server sends page data and at least one recommendation to the electronic device.

[0183] In step 805, the electronic device receives the page data and the at least one recommendation information, displays a subordinate entity display page based on the page data, displays a search box in the subordinate entity display page, and displays the second recommended search text in the search box.

[0184] In this process, the electronic device selects a second recommended search text from the recommended search text in at least one recommended message and displays it in the search box.

[0185] In step 806, the electronic device responds to a click on the search box by displaying a recommended search page, which shows at least one recommendation determined by the large model.

[0186] In step 807, the electronic device responds to the triggering operation of the first recommendation information by displaying the first recommended search text in the search box.

[0187] In step 808, the electronic device sends a search request to the server, the search request carrying the first recommended search text.

[0188] In step 809, the server responds to the search request by performing a search based on the first recommended search text, and obtains the first search result and analysis text.

[0189] In step 810, the server sends the first search result and analysis text to the electronic device.

[0190] In step 811, the electronic device receives the first search result and the analysis text, and displays the first search result and the analysis text on the subordinate entity display page.

[0191] This disclosure provides a scheme for searching subordinate entities. It proactively displays recommended search text to managers, guiding them to search based on this text. The search results include subordinate entities matching the recommended search text. Managers do not need to consider which search text to use to manage subordinate entities; they only need to select the required search text from the recommendations. This reduces the demands on managers' management skills and helps them learn to use the recommended search text to filter subordinate entities, thus improving their management capabilities. Furthermore, it eliminates the need for managers to manually input search text, simplifying the process and improving management efficiency.

[0192] Furthermore, the process of determining recommended information and obtaining search results and analytical text is implemented through a large model. The capabilities of the large model can be used to make intelligent recommendations for managers. The recommended search text is not limited to the text included in the detailed data of subordinate entities, but can also include text not included in the detailed data of subordinate entities, thus enhancing the diversity and richness of search text. It also presents managers with a dynamic analysis process and accurate search results, realizing the intelligent search of subordinate entities.

[0193] It should be noted that the above Figure 2 , Figure 3 and Figure 8 The embodiments shown can be combined in any form to constitute optional embodiments of this disclosure. Figure 9 This is a schematic diagram illustrating the operation flow of a subordinate entity search method provided in an embodiment of this application. See also... Figure 9 The operation process of the subordinate entity search method includes:

[0194] 901. The manager clicks the search box on the subordinate entity's display page.

[0195] 902. The electronic device expands the search box and displays a recommended search page, which includes at least one recommendation determined by the large model.

[0196] The recommended search page also provides a change control; clicking the change control allows you to change the recommended information on the recommended search page.

[0197] 903. The administrator clicks on any recommended item on the recommended search page.

[0198] 904. Electronic devices use large models to perform in-depth analysis and search on the clicked recommendation information to obtain the analyzed text and search results.

[0199] 905. Electronic devices display the analysis text and search results of the large model on the subordinate entity display page.

[0200] In related technologies, although the subordinate entity display page provides a search function, managers need to manually determine what search text to input and manually enter it into the search box. This is especially problematic if the manager is a new employee without relevant management experience and unfamiliar with the characteristics of each subordinate entity, often leaving them unsure how to perform the search.

[0201] This disclosure provides an intelligent search solution that pre-recommends search text based on at least one of the following data: the scope of a manager's subordinate entities, the scope of their management responsibilities, historical filtering conditions, and historical search text. For example, it can provide recommendations under four directions: "Operational Direction," "Fluctuation Analysis," "Subordinate Entity Warning," and "Frequently Used Searches." Managers only need to select the recommended information to view the matching list of subordinate entities. This solution eliminates the need for managers to think about how to search for subordinate entities during the input process, requires no training in questioning techniques for large models, and does not require managers to be familiar with management business or possess relevant management experience. It helps managers think in a targeted and directional manner, improves their management capabilities, helps new employees transition to senior management, reduces the requirements for managers, and lowers the learning cost. Furthermore, it can provide personalized recommendations based on the manager's own characteristics, offering greater flexibility and applicability to managers in different positions. It also ensures that the recommended subordinate entities do not exceed the manager's scope of subordinate entities, effectively controlling the manager's management authority.

[0202] Figure 10 This is a block diagram illustrating a subordinate entity search device according to an exemplary embodiment. See also Figure 10 The device includes:

[0203] Page display unit 1001 is configured to display subordinate entity display pages, which are used to display subordinate entities belonging to the same entity;

[0204] The recommendation display unit 1002 is configured to display at least one recommendation message on the subordinate entity display page. Each recommendation message includes a recommendation search text, which is used to search for subordinate entities belonging to the entity.

[0205] The search display unit 1003 is configured to display the first search result corresponding to the first recommended search text in the subordinate entity display page in response to the trigger operation of the first recommended information.

[0206] Wherein, the first recommended information is any recommended information displayed on the subordinate entity display page, the first recommended search text is the recommended search text in the first recommended information, and the first search result includes at least one subordinate entity that matches the first recommended search text.

[0207] In some embodiments, the search display unit 1003 is configured to display the analysis text of the large model and the first search result in the subordinate entity display page in response to a triggering operation on the first recommendation information.

[0208] The analysis text is used to demonstrate the analysis process when the large model searches based on the first recommended search text.

[0209] In some embodiments, the search display unit 1003 is configured to, in response to a triggering operation on the first recommendation information, display each character in the analyzed text sequentially in the subordinate entity display page until the analyzed text is fully displayed, and then display the first search result in the subordinate entity display page.

[0210] In some embodiments, the search display unit 1003 is configured to create a first prompt word in response to a triggering operation on the first recommendation information. The first prompt word includes recommended search text and a first instruction text. The first instruction text is used to instruct the large model to search among the subordinate entities of the entity based on the recommended search text. The first prompt word is input into the large model, and the large model determines the analysis text and the first search result based on the first prompt word.

[0211] In some embodiments, the analyzed text includes at least one of the following:

[0212] Subordinate entity tags that match the first recommended search text; the first search result includes subordinate entities with subordinate entity tags.

[0213] A method for identifying subordinate entities that match the first recommended search text.

[0214] In some embodiments, the apparatus further includes:

[0215] The recommendation unit is configured to determine at least one recommendation based on at least one of the following data: the scope of subordinate entities of the currently logged-in account, the scope of management responsibilities, historical filtering conditions, and historical search text. The scope of subordinate entities includes subordinate entities that belong to the entity and are allowed to be searched by the account. The scope of management responsibilities includes at least one management matter that the account is responsible for.

[0216] In some embodiments, the recommendation unit is configured to determine at least one recommendation based on at least one piece of data and detailed data of each subordinate entity within the scope of subordinate entities, using a large model.

[0217] In some embodiments, the recommendation unit is configured to create a second prompt word, the second prompt word including at least one piece of data and a second instruction text, the second instruction text being used to instruct the large model to determine recommendation information for recommending to the account based on at least one piece of data; inputting the second prompt word into the large model, and through the large model, determining at least one piece of recommendation information based on the second prompt word.

[0218] In some embodiments, the subordinate entity display page displays a search box, and the recommendation display unit is configured to display a recommended search page in the subordinate entity display page in response to a triggering operation on the search box. The recommended search page displays at least one recommendation.

[0219] In some embodiments, the subordinate entity display page displays a search box, and the search display unit 1003 is configured to display the first recommended search text in the search box in response to a trigger operation on the first recommended information; and to display the first search result corresponding to the first recommended search text in the subordinate entity display page.

[0220] In some embodiments, each recommendation message includes a recommended search text and a corresponding subordinate entity example, wherein the subordinate entity example includes at least one subordinate entity that matches the recommended search text.

[0221] In some embodiments, the page display unit 1001 is configured to display a second recommended search text in the search box of the subordinate entity display page when the subordinate entity display page is opened.

[0222] In some embodiments, the search display unit 1003 is further configured to, in response to a triggering operation of the search control corresponding to the search box, display a second search result corresponding to the second recommended search text in the subordinate entity display page, wherein the second search result includes at least one subordinate entity that matches the second recommended search text.

[0223] This disclosure provides a scheme for searching subordinate entities. It proactively displays recommended search text to managers, guiding them to search based on this text. The search results include subordinate entities matching the recommended search text. Managers do not need to consider which search text to use to manage subordinate entities; they only need to select the required search text from the recommendations. This reduces the demands on managers' management skills and helps them learn to use the recommended search text to filter subordinate entities, thus improving their management capabilities. Furthermore, it eliminates the need for managers to manually input search text, simplifying the process and improving management efficiency.

[0224] Regarding the apparatus in the above embodiments, the specific manner in which each unit performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0225] This disclosure provides an electronic device including a processor and a memory for storing processor-executable instructions. The processor is configured to execute the instructions to implement the entity search method described above.

[0226] Figure 11 A structural block diagram of an electronic device 1100 provided in an exemplary embodiment of this disclosure is shown. The electronic device 1100 may be a smartphone, tablet computer, MP3 player (Moving Picture Experts Group Audio Layer III), MP4 player (Moving Picture Experts Group Audio Layer IV), laptop computer, or desktop computer. The electronic device 1100 may also be referred to as a user device, portable terminal, laptop terminal, desktop terminal, or other names.

[0227] Typically, electronic device 1100 includes a processor 1101 and a memory 1102.

[0228] Processor 1101 may include one or more processing cores, such as a quad-core processor, an octa-core processor, etc. Processor 1101 may be implemented using at least one hardware form selected from DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). Processor 1101 may also include a main processor and a coprocessor. The main processor, also known as a CPU (Central Processing Unit), is used to process data in the wake-up state; the coprocessor is a low-power processor used to process data in the standby state. In some embodiments, processor 1101 may integrate a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the screen. In some embodiments, processor 1101 may also include an AI (Artificial Intelligence) processor, which is used to handle computational operations related to machine learning.

[0229] The memory 1102 may include one or more computer-readable storage media, which may be non-transitory. The memory 1102 may also include high-speed random access memory and non-volatile memory, such as one or more disk storage devices or flash memory devices. In some embodiments, the non-transitory computer-readable storage media in the memory 1102 are used to store at least one program code, which is executed by the processor 1101 to implement the subordinate entity search method provided in the method embodiments of this disclosure.

[0230] In some embodiments, the electronic device 1100 may optionally include a peripheral device interface 1103 and at least one peripheral device. The processor 1101, memory 1102, and peripheral device interface 1103 can be connected via a bus or signal line. Each peripheral device can be connected to the peripheral device interface 1103 via a bus, signal line, or circuit board. Specifically, the peripheral device includes at least one of the following: a radio frequency circuit 1104, a display screen 1105, a camera assembly 1106, an audio circuit 1107, and a power supply 1108.

[0231] Peripheral device interface 1103 can be used to connect at least one I / O (Input / Output) related peripheral device to processor 1101 and memory 1102. In some embodiments, processor 1101, memory 1102 and peripheral device interface 1103 are integrated on the same chip or circuit board; in some other embodiments, any one or two of processor 1101, memory 1102 and peripheral device interface 1103 can be implemented on separate chips or circuit boards, which is not limited in this embodiment.

[0232] The radio frequency (RF) circuit 1104 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The RF circuit 1104 communicates with communication networks and other communication devices via electromagnetic signals. The RF circuit 1104 converts electrical signals into electromagnetic signals for transmission, or converts received electromagnetic signals back into electrical signals. In some embodiments, the RF circuit 1104 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a user identity module card, etc. The RF circuit 1104 can communicate with other electronic devices via at least one wireless communication protocol. This wireless communication protocol includes, but is not limited to: metropolitan area networks (MANs), various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks (WLANs), and / or WiFi (Wireless Fidelity) networks. In some embodiments, the RF circuit 1104 may also include circuitry related to NFC (Near Field Communication), which is not limited herein.

[0233] Display screen 1105 is used to display a UI (User Interface). This UI may include graphics, text, icons, videos, and any combination thereof. When display screen 1105 is a touch display screen, it also has the ability to collect touch signals on or above its surface. These touch signals can be input as control signals to processor 1101 for processing. In this case, display screen 1105 can also be used to provide virtual buttons and / or a virtual keyboard, also known as soft buttons and / or a soft keyboard. In some embodiments, there may be one display screen 1105, which serves as the front panel of electronic device 1100; in other embodiments, there may be at least two display screens, respectively disposed on different surfaces of electronic device 1100 or in a folded design; in still other embodiments, display screen 1105 may be a flexible display screen, disposed on a curved or folded surface of electronic device 1100. Furthermore, display screen 1105 may also be configured as a non-rectangular, irregular shape, i.e., a non-rectangular screen. The display screen 1105 can be made of materials such as LCD (Liquid Crystal Display) and OLED (Organic Light-Emitting Diode).

[0234] The camera assembly 1106 is used to acquire images or videos. In some embodiments, the camera assembly 1106 includes a front-facing camera and a rear-facing camera. Typically, the front-facing camera is located on the front panel of the electronic device, and the rear-facing camera is located on the back of the electronic device. In some embodiments, there are at least two rear-facing cameras, which are any one of a main camera, a depth-sensing camera, a wide-angle camera, and a telephoto camera, to achieve background blurring by fusion of the main camera and the depth-sensing camera, panoramic shooting by fusion of the main camera and the wide-angle camera, VR (Virtual Reality) shooting, or other fusion shooting functions. In some embodiments, the camera assembly 1106 may also include a flash. The flash can be a single-color temperature flash or a dual-color temperature flash. A dual-color temperature flash is a combination of a warm-light flash and a cool-light flash, which can be used for light compensation at different color temperatures.

[0235] The audio circuit 1107 may include a microphone and a speaker. The microphone is used to collect sound waves from the user and the environment, converting the sound waves into electrical signals that are input to the processor 1101 for processing, or input to the radio frequency circuit 1104 for voice communication. For stereo sound acquisition or noise reduction purposes, multiple microphones may be used, each located at a different part of the electronic device 1100. The microphone may also be an array microphone or an omnidirectional microphone. The speaker is used to convert electrical signals from the processor 1101 or the radio frequency circuit 1104 into sound waves. The speaker may be a conventional diaphragm speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, it can convert electrical signals not only into audible sound waves but also into inaudible sound waves for purposes such as distance measurement. In some embodiments, the audio circuit 1107 may also include a headphone jack.

[0236] Power supply 1108 is used to supply power to the various components in electronic device 1100. Power supply 1108 can be AC ​​power, DC power, a disposable battery, or a rechargeable battery. When power supply 1108 includes a rechargeable battery, the rechargeable battery can support wired charging or wireless charging. The rechargeable battery can also be used to support fast charging technology.

[0237] Those skilled in the art will understand that Figure 11 The structure shown does not constitute a limitation on the electronic device 1100, and may include more or fewer components than shown, or combine certain components, or use different component arrangements.

[0238] In an exemplary embodiment, a computer-readable storage medium is also provided, which, when executed by a processor of an electronic device, enables the electronic device to perform the steps in the subordinate entity search method described above. For example, the computer-readable storage medium may be a ROM (Read Only Memory), RAM (Random Access Memory), CD-ROM (Compact Disc Read-Only Memory), magnetic tape, floppy disk, and optical data storage device, etc.

[0239] In an exemplary embodiment, a computer program product is also provided, including a computer program that, when executed by a processor of an electronic device, implements the steps in the subordinate entity search method described above.

[0240] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0241] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A method for searching subordinate entities, characterized in that, The method includes: The subordinate entity display page is used to display subordinate entities belonging to the same entity; The subordinate entity display page displays at least one recommendation message, and each recommendation message includes a recommended search text, which is used to search for subordinate entities belonging to the entity. In response to the triggering operation of the first recommendation information, the first search result corresponding to the first recommendation search text is displayed on the subordinate entity display page; Wherein, the first recommendation information is any recommendation information displayed on the subordinate entity display page, the first recommendation search text is the recommendation search text in the first recommendation information, and the first search result includes at least one subordinate entity that matches the first recommendation search text.

2. The subordinate entity search method according to claim 1, characterized in that, In response to the triggering operation of the first recommendation information, the first search result corresponding to the first recommendation search text is displayed on the subordinate entity display page, including: In response to the triggering operation of the first recommendation information, the analysis text of the large model and the first search result are displayed on the subordinate entity display page; The analysis text is used to demonstrate the analysis process when the large model searches based on the first recommended search text.

3. The subordinate entity search method according to claim 2, characterized in that, In response to the triggering operation of the first recommendation information, the analysis text of the large model and the first search result are displayed on the subordinate entity display page, including: In response to the triggering operation of the first recommendation information, each character in the analysis text is displayed sequentially on the subordinate entity display page until the analysis text is fully displayed, and then the first search result is displayed on the subordinate entity display page.

4. The subordinate entity search method according to claim 2, characterized in that, In response to the triggering operation of the first recommendation information, the analysis text of the large model and the first search result are displayed on the subordinate entity display page, including: In response to the triggering operation on the first recommendation information, a first prompt word is created. The first prompt word includes the recommended search text and a first instruction text. The first instruction text is used to instruct the large model to search among the subordinate entities belonging to the entity based on the recommended search text. The first prompt word is input into the large model, and the large model determines the analysis text and the first search result based on the first prompt word.

5. The subordinate entity search method according to claim 2, characterized in that, The analyzed text includes at least one of the following: The subordinate entity tags that match the first recommended search text, and the first search result includes subordinate entities having the subordinate entity tags; A method for determining subordinate entities that match the first recommended search text.

6. The subordinate entity search method according to claim 1, characterized in that, The method further includes: Based on at least one of the following data from the currently logged-in account: the scope of subordinate entities, the scope of management responsibilities, historical filtering conditions, and historical search text, at least one piece of recommended information is determined through a large model. The scope of subordinate entities includes subordinate entities that belong to the entity and are allowed to be searched by the account. The scope of management responsibilities includes at least one management matter that the account is responsible for.

7. The subordinate entity search method according to claim 6, characterized in that, The method for determining at least one piece of recommended information based on at least one of the following data points—the scope of subordinate entities of the currently logged-in account, the scope of management responsibilities, historical filtering conditions, and historical search text—through a large model includes: Based on the at least one piece of data and the detailed data of each subordinate entity within the scope of the subordinate entity, at least one piece of the recommended information is determined through the large model.

8. The subordinate entity search method according to claim 6, characterized in that, The method for determining at least one piece of recommended information based on at least one of the following data points—the scope of subordinate entities of the currently logged-in account, the scope of management responsibilities, historical filtering conditions, and historical search text—through a large model includes: Create a second prompt word, the second prompt word including the at least one piece of data and a second instruction text, the second instruction text being used to instruct the large model to determine recommendation information for recommending to the account based on the at least one piece of data; The second prompt word is input into the large model, and the large model determines at least one piece of recommended information based on the second prompt word.

9. The subordinate entity search method according to claim 1, characterized in that, The subordinate entity display page displays a search box, and at least one piece of recommended information is displayed on the subordinate entity display page, including: In response to the triggering operation of the search box, a recommended search page is displayed on the subordinate entity display page, and the recommended search page displays at least one of the recommended information.

10. The subordinate entity search method according to claim 1, characterized in that, The subordinate entity display page displays a search box. In response to the triggering operation of the first recommendation information, the subordinate entity display page displays the first search result corresponding to the first recommended search text, including: In response to a triggering operation on the first recommendation information, the first recommended search text is displayed in the search box; The subordinate entity display page displays the first search result corresponding to the first recommended search text.

11. The subordinate entity search method according to claim 1, characterized in that, Each piece of recommendation information includes the recommended search text and a corresponding subordinate entity example, wherein the subordinate entity example includes at least one subordinate entity that matches the recommended search text.

12. The subordinate entity search method according to claim 1, characterized in that, The display page for subordinate entities includes: When the subordinate entity display page is opened, a second recommended search text is displayed in the search box of the subordinate entity display page.

13. The subordinate entity search method according to claim 12, characterized in that, The method further includes: In response to a trigger operation on the search control corresponding to the search box, a second search result corresponding to the second recommended search text is displayed on the subordinate entity display page. The second search result includes at least one subordinate entity that matches the second recommended search text.

14. A subordinate entity search device, characterized in that, The device includes: The page display unit is configured to display subordinate entity display pages, which are used to display subordinate entities belonging to the same entity; The recommendation display unit is configured to display at least one recommendation message on the subordinate entity display page, each recommendation message including a recommendation search text, which is used to search for subordinate entities belonging to the entity. The search display unit is configured to display the first search result corresponding to the first recommended search text in the subordinate entity display page in response to a trigger operation on the first recommended information. Wherein, the first recommendation information is any recommendation information displayed on the subordinate entity display page, the first recommendation search text is the recommendation search text in the first recommendation information, and the first search result includes at least one subordinate entity that matches the first recommendation search text.

15. An electronic device, characterized in that, The electronic device includes: processor; Memory used to store the processor's executable instructions; The processor is configured to execute the instructions to implement the subordinate entity search method as described in any one of claims 1 to 13.

16. A computer-readable storage medium, characterized in that, When the instructions in the computer-readable storage medium are executed by the processor of the electronic device, the electronic device is able to perform the subordinate entity search method as described in any one of claims 1 to 13.

17. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the subordinate entity search method according to any one of claims 1 to 13.

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