Object processing method, commodity information comparison method, computing device, storage medium and program product

By entering search information on the user interface and automatically obtaining and comparing object information, the problems of low comparison efficiency and poor user experience in the prior art are solved, and efficient object comparison and simplified user operations are achieved.

CN119396852APending Publication Date: 2025-02-07HANGZHOU ALIBABA INT INTERNET IND CO LTD
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Patent Information

Application Number
CN202411240739.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-04
Publication Date
2025-02-07

AI Technical Summary

Technical Problem

In the prior art, the comparison efficiency is low and the user experience is poor. Users need to view the object information of different objects provided by the system one by one for manual comparison.

Method used

Provide an object processing method, displays search prompt information through the user interface. After the user enters the search information, the system generates search instructions, obtains matching object information from the object providing system, generates object prompt information, the user selects the target object, and the system automatically compares the object. The information generates comparison information and is displayed in the user interface.

Benefits of technology

Simplify comparison operations, improve comparison efficiency, and improve user experience, so that users do not need to compare object information one by one.

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Abstract

The embodiment of the invention provides an object processing method, a commodity information comparison method, computing equipment, a storage medium, a program product device and a mobile terminal. A user interface is provided and search prompt information is displayed on the user interface, so that a search instruction is generated according to search information provided by a user, and object information corresponding to a plurality of first objects matched with the search information is obtained from at least one object providing system based on the search instruction; generating object prompt information based on the object information; displaying object prompt information corresponding to the plurality of first objects on the user interface; generating a first comparison instruction according to the plurality of target objects selected by the user, and comparing the object information of the plurality of target objects based on the first comparison instruction to generate comparison information; and displaying the comparison information on the user interface. According to the embodiment of the invention, the comparison operation is simplified, the comparison efficiency is improved, and the user experience is improved.
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Description

Technical Field

[0001] The present application relates to the field of electronic technology, and in particular to an object processing method, a commodity information comparison method, a computing device, a storage value, and a program product. Background Art

[0002] The development of electronic technology and network technology has led to an increasing number of systems that provide objects for users to interact with. In order to facilitate users to understand objects and interact with them, these object-providing systems often provide object information for each object so that users can decide whether to interact with the object by browsing the object information.

[0003] In actual applications, the same object provider may publish the same object in different object provision systems, or different object providers may publish similar objects in the object provision systems. The object provision system may also provide a search function for users to search for objects based on search keywords. The search results will also include multiple objects hit by the search keywords, etc. In these usage scenarios, users may need to view the object information of different objects and manually compare them before deciding on the final interactive object. The comparison operation is cumbersome, inefficient, and has a poor user experience. Summary of the invention

[0004] The embodiments of the present application provide an object processing method, a product information comparison method, a computing device, a storage medium, and a program product to solve the technical problems of low comparison efficiency and poor user experience in the prior art.

[0005] In a first aspect, an embodiment of the present application provides an object processing method, including:

[0006] Providing a user interface and displaying search prompt information on the user interface;

[0007] Generate a search instruction according to the search information provided by the user, obtain object information respectively corresponding to a plurality of first objects matching the search information from at least one object providing system based on the search instruction, and generate object prompt information based on the object information;

[0008] Displaying object prompt information respectively corresponding to the plurality of first objects on the user interface;

[0009] generating a first comparison instruction according to the multiple target objects selected by the user, so as to generate comparison information by comparing the object information of the multiple target objects based on the first comparison instruction;

[0010] The comparison information is displayed on the user interface.

[0011] In a second aspect, an embodiment of the present application provides an object processing method, including:

[0012] Obtain search information provided by users;

[0013] Acquire object information respectively corresponding to a plurality of first objects matching the search information from at least one object providing system, and generate object prompt information based on the object information;

[0014] Sending object prompt information respectively corresponding to the plurality of first objects to the user;

[0015] Determining multiple target objects selected by the user;

[0016] The object information of the plurality of target objects is compared to generate comparison information.

[0017] In a third aspect, an embodiment of the present application provides a method for comparing product information, including:

[0018] Providing a user interface and displaying search prompt information on the user interface;

[0019] Generate a search instruction according to the search information provided by the user, obtain commodity information corresponding to a plurality of first commodities matching the search information from at least one e-commerce system based on the search instruction, and generate commodity prompt information based on the commodity information;

[0020] Displaying commodity prompt information respectively corresponding to the plurality of first commodities on the user interface;

[0021] generating a first comparison instruction according to the multiple target commodities selected by the user, and generating comparison information by comparing commodity information of the multiple target commodities based on the first comparison instruction;

[0022] The comparison information is displayed on the user interface.

[0023] In a fourth aspect, an embodiment of the present application provides a method for comparing product information, including:

[0024] Get the search information provided by the user.

[0025] Acquire commodity information respectively corresponding to a plurality of first commodities matching the search information from at least one e-commerce system, and generate commodity prompt information based on the commodity information;

[0026] Sending commodity prompt information corresponding to the plurality of first commodities to the user;

[0027] Determining a plurality of target commodities selected by the user;

[0028] The product information of the plurality of target products is compared to generate comparison information.

[0029] In a fifth aspect, an embodiment of the present application provides a computing device, including a processing component and a storage component;

[0030] The storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement the object processing method described in the first aspect above, or the object processing method described in the second aspect above, or the product information comparison method described in the third aspect above, or the product information comparison method described in the fourth aspect above.

[0031] In the sixth aspect, a computer-readable storage medium is provided in an embodiment of the present application, on which a computer program is stored. When the computer program is executed by a processing component, it implements the object processing method described in the first aspect above, or the object processing method described in the second aspect above, or the product information comparison method described in the third aspect above, or the product information comparison method described in the fourth aspect above.

[0032] In the seventh aspect, a computer program product is provided in an embodiment of the present application, including a computer program / instruction, which, when executed by a processing component, implements the object processing method as described in the first aspect above, or the object processing method as described in the second aspect above, or the product information comparison method as described in the third aspect above, or the product information comparison method as described in the fourth aspect above.

[0033] In an embodiment of the present application, by providing a user interface and displaying search prompt information, a user can provide search information, so that based on the search information, object information corresponding to multiple first objects matching the search information can be obtained from at least one object providing system, and object prompt information can be generated based on the object information. By displaying the object prompt information corresponding to the multiple first objects in the user interface for user selection, comparison information can be automatically generated based on the object information based on the selected multiple target objects, and the comparison information can be displayed in the user interface, so that the user only needs to provide search information to intuitively obtain comparison information of multiple target objects matching the search intent, and the user does not need to compare one by one, thereby simplifying the comparison operation, improving comparison efficiency, and improving user experience.

[0034] These and other aspects of the present application will become more clearly understood in the description of the following embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0036] Figure 1 A flowchart of an embodiment of an object processing method provided by the present application is shown;

[0037] Figure 2a to Figure 2f Schematic diagrams of interface display in an actual application of the embodiment of the present application are respectively shown;

[0038] Figure 3 A flowchart of another embodiment of an object processing method provided by the present application is shown;

[0039] Figure 4 A flowchart of an embodiment of a commodity information comparison method provided by the present application is shown;

[0040] Figure 5 A flowchart of another embodiment of a commodity information comparison method provided by the present application is shown;

[0041] Figure 6 A schematic diagram of scene interaction in a practical application of the present application is shown;

[0042] Figure 7 A schematic diagram showing the structure of an embodiment of an object processing device provided by the present application is shown;

[0043] Figure 8 A schematic structural diagram of another embodiment of an object processing device provided by the present application is shown;

[0044] Fig. 9 A schematic diagram of the structure of an embodiment of a computing device provided by the present application is shown. DETAILED DESCRIPTION

[0045] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0046] In some of the processes described in the specification and claims of this application and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish between different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0047] The technical solution of the embodiment of the present application can be applied to the object interaction scenario, and provides an efficient and portable comparison scheme for the objects provided by the object providing system. The object providing system is an online system that provides objects for users to interact with. The object provider can publish objects in the object providing system and provide object information for users to view and then decide whether to perform interactive behaviors. For example, in an e-commerce scenario, the object providing system is also an e-commerce (electronic commerce) system. The e-commerce system can provide goods for users to purchase, etc. Merchants can publish goods and provide product information in the e-commerce system, and users can decide whether to purchase goods based on the product information.

[0048] In the traditional method, as described in the background technology, the user may need to view the object information of different objects provided by different object providing systems and perform manual comparison before deciding the final interactive object. Although some tools such as Excel tables (a kind of electronic spreadsheet) can be used, the user is still required to record the object information of different objects one by one and then compare them. The comparison operation is cumbersome, the efficiency is relatively low, and the user experience is poor.

[0049] In order to improve comparison efficiency, simplify comparison operations, and improve user experience, the inventors have proposed a technical solution of the embodiment of the present application after a series of studies. The technical solution of the embodiment of the present application provides an object processing system. By providing a user interface and displaying search prompt information, the user can provide search information, so that based on the search information, object information corresponding to multiple first objects matching the search information can be obtained from at least one object providing system, and object prompt information can be generated based on the object information. By displaying the object prompt information corresponding to the multiple first objects in the user interface for user selection, comparison information can be automatically generated based on the object information based on the selected multiple target objects, and the comparison information can be displayed in the user interface, so that the user only needs to provide search information to intuitively obtain the comparison information of multiple target objects matching the search intention, and the user does not need to compare one by one, thereby simplifying the comparison operation, improving the comparison efficiency, and improving the user experience.

[0050] It should be noted that the embodiments of the present application may involve the use of user data. In actual applications, user-specific personal data can be used in the scheme described herein within the scope permitted by applicable laws and regulations, subject to the requirements of applicable laws and regulations of the country where the user is located (for example, with the user's explicit consent, effective notification to the user, etc.).

[0051] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0052] It should be noted that the technical solution of the embodiments of the present application is applicable to a network virtual environment. The users, object providers, etc. described are generally referred to as "virtual users". Real users can register an account on the server side through registration to obtain identity information in the network environment. Of course, they can also conduct network activities as a visitor (unregistered or not logged in to an account), and this application does not impose any restrictions on this.

[0053] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0054] The technical solution of the embodiment of the present application can be applied to an object processing system composed of a client and a server.

[0055] The client and the server may be connected via a network. The network provides a medium for the communication link between the client and the server. The network may include various connection types, such as wired, wireless communication links, or optical fiber cables.

[0056] The client can interact with the server through the network to receive or send messages, etc.

[0057] In the embodiment of the present application, the client can be a browser, an APP (Application), or a web application such as an H5 (HyperText Markup Language 5, Hypertext Markup Language Version 5) application, or a light application (also known as a mini-program, a lightweight application) or a cloud application, etc. The user terminal 101 can be deployed in an electronic device and needs to rely on the device to run or some apps in the device to run, etc. The electronic device can, for example, have a display screen and support information browsing, such as a personal mobile terminal such as a mobile phone, a tablet computer, a personal computer, a desktop computer, a smart speaker, a smart watch, etc. For ease of understanding, Figure 1 The user end is mainly represented by a device image. Various other types of applications can usually be configured in electronic devices, such as human-computer dialogue applications, model training applications, text processing applications, web browser applications, shopping applications, search applications, instant messaging tools, email clients, social platform software, etc. Electronic devices can refer to devices used by users, which have the functions of computing, surfing the Internet, communicating, etc. required by users, such as mobile phones, tablet computers, personal computers, wearable devices, etc. Electronic devices can usually include at least one processing component and at least one storage component. Electronic devices may also include basic configurations such as network card chips, IO buses, audio and video components, which are not limited in this application. Optionally, according to the implementation form of the electronic device, some peripheral devices may also be included, such as keyboards, mice, input pens, printers, etc., which are not limited in this application.

[0058] The server may include servers that provide various services, such as a server for background training that provides support for the model used on the client, or a server that processes interactive information sent by the client.

[0059] It should be noted that the server can be implemented as a distributed server cluster consisting of multiple servers, or as a single server. The server can also be a server of a distributed system, or a server combined with a blockchain. The server can also be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms, or an intelligent cloud computing server or intelligent cloud host with artificial intelligence technology.

[0060] The object processing system of the embodiment of the present application can provide a user interface through a client for users to perform interactive operations, etc. In addition, the object processing system can also be integrated in any object providing system, and the above-mentioned server can be implemented as a server of the object providing system, etc. Of course, the object processing system can be an independent system, and can obtain object information from the object providing system through network crawling technology or through the corresponding interface with the authorization of the object providing system, etc. This application does not impose any restrictions on this.

[0061] The implementation details of the technical solution of the embodiment of the present application will be elaborated in detail below.

[0062] Figure 1 This is a flowchart of an embodiment of an object processing method provided in an embodiment of the present application. The technical solution of this embodiment can be Figure 1 The method is executed by a client in the object processing system, and may include the following steps:

[0063] 101: providing a user interface and displaying search prompt information on the user interface.

[0064] 102: Generate a search instruction according to the search information provided by the user, obtain object information respectively corresponding to a plurality of first objects matching the search information from at least one object providing system based on the search instruction, and generate object prompt information based on the object information.

[0065] The search prompt information can be used to prompt the user to provide search information. The search prompt information can include, for example, an input control to sense the user input operation to obtain the search information, so that a search instruction can be generated based on the search information. In addition, the search prompt information can also include a search control, and the search instruction can be specifically generated based on the search information input by the user in response to a trigger operation of the user on the search control.

[0066] For ease of understanding, Figure 2a In the interface schematic diagram shown, search prompt information 201 may be displayed in the user interface 200 .

[0067] The search information may be in a media format such as text, image, and / or audio, which is not limited in this application.

[0068] Among them, a search operation can be performed through network crawling technology to obtain object information of the first object matching the search information from at least one object providing system. Of course, with the authorization of any object providing system, a search operation can also be performed from the object providing system through the corresponding interface to obtain object information of the first object matching the search information, etc. This application does not limit this.

[0069] The search operation can be performed by the client in response to the search instruction, or the client can send the search instruction to the server, and the server can perform the search operation. In this case, step 202 can be to generate a search instruction based on the search information provided by the user, and send the search instruction to the server, so that the server can obtain object information corresponding to multiple first objects matching the search information from at least one object providing system, and generate object prompt information based on the object information.

[0070] In an embodiment of the present application, object prompt information can be generated based on object information. The object information may include detailed introduction to the object and may include feature data corresponding to multiple attribute characteristics of the object, such as specifications, origin, title, brand, price, logistics information, and object provider information such as the name and address of the object provider.

[0071] Object prompt information can be generated based on object information. For example, it can include an object picture, summary information generated based on object information, or one or more of feature data of at least one attribute feature. The specific type of information included can be determined based on actual conditions.

[0072] 103: Displaying object prompt information corresponding to the plurality of first objects respectively on the user interface.

[0073] 104 : Generate a first comparison instruction according to the multiple target objects selected by the user, so as to generate comparison information by comparing the object information of the multiple target objects based on the first comparison instruction.

[0074] Optionally, multiple target objects selected by the user may be determined in response to the first object selection operation.

[0075] The object prompt information may be in the form of a card control so as to perceive the user's first object selection operation. Of course, the object prompt information may also be implemented in other forms. Each object prompt information may include a selection control for the user to perform the first object selection operation. The selected first object may be used as the target object, and the object prompt information corresponding to the target object may display predetermined marking information to indicate that it is selected. For example, when the object prompt information is a card control, the border of the card control corresponding to the target object may be updated to a predetermined color or switched to a predetermined line.

[0076] For ease of understanding, Figure 2b In the interface diagram shown, object prompt information 202 corresponding to multiple first objects is displayed in the user interface 200. The object prompt information can be a card control. The object prompt information of the selected target object can display predetermined mark information 203 to prompt the user that the selection is successful.

[0077] A first comparison instruction may be generated based on the multiple target objects selected by the user, and the client may respond to the first comparison instruction to compare the object information of the multiple target objects to generate comparison information; of course, the first comparison instruction may also be sent to the server, so that the server compares the object information of the multiple target objects to generate comparison information, and returns the comparison information to the client.

[0078] Optionally, based on the multiple target objects selected by the user, comparison prompt information may be displayed in the user interface, such as Figure 2b The comparison prompt information 204 shown may generate the first comparison instruction, etc., for the first comparison operation triggered by the comparison prompt information 204 .

[0079] In addition, in the object providing system, object information is often carried in the object page, and the object page corresponds to an object link for indexing to the object page. Optionally, the object prompt information of each first object can also correspond to an object link, so that the object viewing operation triggered by the object prompt information can be transferred to the object page based on the corresponding object link to display the object information. Among them, the object selection operation and the object viewing operation can be different user interaction operations for distinction, for example, the object selection operation can be a "single click" operation, and the object viewing operation can be a "double click" operation, etc., which can be set in combination with actual conditions, and this application does not limit this.

[0080] 105: Display comparison information in the user interface.

[0081] By displaying the comparison information on the user interface, the user can intuitively view the differences between different target objects.

[0082] In this embodiment, the user only needs to provide search information to intuitively obtain comparison information of multiple target objects matching the search intent. The user does not need to compare one by one, thereby simplifying the comparison operation, improving comparison efficiency, and improving user experience.

[0083] Since the object information may include feature data corresponding to multiple attribute features, as an optional manner, the comparison information of each target object may include feature data corresponding to at least one first feature attribute of the target object.

[0084] Therefore, the above-mentioned generating a first comparison instruction according to the multiple target objects selected by the user, and comparing the object information of the multiple target objects based on the first comparison instruction to generate the comparison information may include:

[0085] A first comparison instruction is generated according to multiple target objects selected by the user, so as to obtain feature data of at least one first attribute feature corresponding to each of the multiple target objects based on the first comparison instruction, and use the feature data of at least one first attribute feature corresponding to each of the multiple target objects as comparison information.

[0086] Then the displaying of the comparison information on the user interface may include: displaying feature data of at least one first attribute feature corresponding to each of the plurality of target objects on the user interface.

[0087] The at least one first characteristic attribute can be pre-set in combination with the object category of the target object or the user preference category. For example, taking the cross-border e-commerce scenario as an example, the object is the commodity, and the object provider is the merchant. In the B2B (Business-to-Business) cross-border e-commerce scenario, the user is the seller and the merchant is the supplier. The at least one first attribute feature may include, for example, unit price, minimum selling quantity, logistics cost, logistics time, supplier name, supplier level, average response time, etc. In addition, it may also include specific attribute features corresponding to the commodity category. For example, when the commodity is a car, at least one first attribute feature may also include a power source, etc.

[0088] In addition, the comparison information may also include an object picture and / or an object name of the target object, etc., to distinguish or identify the target object, etc.

[0089] As another optional method, in addition to including feature data corresponding to at least one first feature attribute of the target object, the comparison information of each target object may also include, in order to facilitate users to quickly understand the target object and the difference information between different target objects, the comparison information may also include the evaluation result of any target object generated by using a large model based on the feature data corresponding to at least one first attribute feature of multiple target objects. Therefore, the above-mentioned generation of the first comparison instruction according to the multiple target objects selected by the user, and the comparison of the object information of the multiple target objects based on the first comparison instruction to generate the comparison information may include:

[0090] A first comparison instruction is generated according to multiple target objects selected by a user, so as to obtain feature data of at least one first attribute feature respectively corresponding to the multiple target objects based on the first comparison instruction, and to generate an evaluation result of any target object using a large model based on the feature data of at least one first attribute feature respectively corresponding to the multiple target objects, and to use the feature data of at least one first attribute feature respectively corresponding to the multiple target objects and the evaluation result as comparison information.

[0091] The displaying of the comparison information on the user interface may include: displaying feature data of at least one first attribute feature respectively corresponding to a plurality of target objects and the corresponding evaluation results respectively on the user interface.

[0092] Optionally, feature data of at least one first attribute feature of each target object may be input into the big model to generate an evaluation result of each target object using the big model.

[0093] The evaluation results may include, for example, the advantage information and / or disadvantage information of the target object to reflect the advantages and disadvantages of the target object. For example, the evaluation result may be "supports customization, provides overseas after-sales service but does not provide free logistics service".

[0094] In addition, feature data of at least one first attribute feature corresponding to each of the plurality of target objects may be input into the large model, so as to generate an evaluation result for each target object by combining the feature data of at least one first attribute feature corresponding to each of the plurality of target objects with the large model.

[0095] The evaluation results may include information about the advantages and / or disadvantages of a target object relative to other target objects, so as to reflect the advantages and disadvantages of the target object. For example, the evaluation result may be "the price is more favorable but the logistics delivery time is longer."

[0096] In addition, the comparison information may also include an object picture and / or an object name of the target object, etc., to distinguish or identify the target object, etc.

[0097] As another optional method, when the comparison information includes characteristic data of at least one first attribute feature, in actual applications, especially in B2B e-commerce scenarios, users, that is, sellers, often focus on profits. Therefore, the at least one first attribute feature may include a cost feature, and the characteristic data of the cost feature may be a cost profit generated according to the sales prices and supply prices corresponding to the multiple target objects. Therefore, the above-mentioned generation of the first comparison instruction according to the multiple target objects selected by the user, and the generation of the comparison information by comparing the object information of the multiple target objects based on the first comparison instruction may include:

[0098] A first comparison instruction is generated according to multiple target objects selected by a user, so as to obtain characteristic data of at least one first attribute feature corresponding to each of the multiple target objects based on the first comparison instruction, and in the case where at least one first attribute feature includes a cost feature, a cost profit is generated according to a sales price and a supply price corresponding to the target object, and the cost profit is used as the characteristic data of the cost feature.

[0099] The displaying of the comparison information on the user interface may include: displaying feature data of at least one first attribute feature corresponding to each of the plurality of target objects on the user interface, and displaying the corresponding cost profit when at least one first attribute feature includes a cost feature.

[0100] Among them, the sales price can be preset. In actual applications, the object purchased by the user from the object provider can be sold in at least one sales system. Therefore, the sales price can be determined in combination with the object price of the target object provided by at least one sales system. For example, the object price of the target object provided by any sales system can be used as the sales price, and the sales price can be used as a reference for the user. The supply price can be the object price provided by the object provider in the object providing system. Usually, the sales price minus the supply price can be used as the cost profit. In addition, when the user purchases the object from the object providing system and sells it in the sales system, it is usually necessary to pay a certain fee to the sales system, that is, the sales cost. Therefore, optionally, the sales price minus the sales cost minus the supply price can be used as the cost profit; in addition, when the user needs to pay the logistics cost, the cost profit can be obtained by subtracting the sales price from the sales cost minus the supply price and then subtracting the logistics cost; in addition, the cost profit can also be calculated according to the following formula: sales price*sales volume-sales cost-supply price*sales volume-logistics cost, wherein the sales volume can be preset or determined in combination with the sales of the target object provided by at least one sales system within a certain period of time.

[0101] The cost profit in the comparison information can be a reference profit for users to refer to and assist users in making decisions.

[0102] In some embodiments, when at least one first attribute feature includes a supply price feature, the supply price corresponding to the target object may be used as feature data of the supply price feature.

[0103] In addition, when at least one first attribute feature includes a supply price feature, the at least one first attribute feature may also include a sales price feature, so that the sales price corresponding to the target object is used as the characteristic data of the sales price feature, so that the user can combine the supply price and the sales price to calculate and obtain a reference theory, thereby roughly understanding the cost profit, etc., to assist in deciding whether to perform further operations, etc.

[0104] In some embodiments, as described above, the comparison information includes feature data of at least one first attribute feature corresponding to each of the plurality of target objects; the method may further include:

[0105] Display feature prompt information in a user interface; display multiple attribute features in the user interface in response to a feature selection operation; generate a second comparison instruction based on at least one second attribute feature selected by a user to compare at least one second attribute feature of multiple target objects based on the second comparison instruction; and update the comparison information in the user interface based on feature data of at least one second attribute feature.

[0106] The embodiment of the present application may provide multiple attribute features for the user to select the attribute features that he wants to compare. The multiple attribute features may be displayed in a list form and a selection control may be displayed correspondingly for the user to select at least one second attribute feature.

[0107] Among them, multiple attribute features in the attribute feature list can be mined based on historical interaction information of multiple objects or multiple target objects; historical interaction information can include, for example, chat records between the object provider and different users for the target object; multiple attribute features that are of interest to the user can be identified from the historical interaction information. Of course, the multiple attribute features can also be pre-set in combination with the object category, etc., and this application does not limit this.

[0108] Optionally, the multiple attribute features may not include at least one first attribute feature. In this case, the updated comparison information may include feature data of at least one first attribute feature and feature data of at least one second attribute feature.

[0109] In addition, the multiple attribute features may also include at least one first attribute feature, so that the user can reselect the attribute feature or cancel the selected first attribute feature, so that the selected at least one second attribute feature may include all first attribute features of at least one first attribute feature, or part of the first attribute features, or do not include at least one first attribute feature.

[0110] Among them, when at least one second attribute characteristic includes cost and profit, cost and profit can be generated according to the sales prices and supply prices corresponding to multiple target objects, and cost and profit can be used as characteristic data of cost characteristics; when at least one second attribute characteristic includes sales price characteristics, the sales price corresponding to the target object can be used as characteristic data of sales price characteristics.

[0111] The evaluation result of each target object may be generated using a large model based on feature data of at least one first attribute feature and / or feature data of at least one second attribute feature corresponding to a plurality of target objects.

[0112] In some embodiments, in order to facilitate users to view the comparison information, a table may be used to carry the comparison information. Therefore, the above-mentioned generating a first comparison instruction according to the multiple target objects selected by the user, and comparing the object information of the multiple target objects based on the first comparison instruction to generate the comparison information may include:

[0113] A first comparison instruction is generated according to multiple target objects selected by the user, so as to obtain feature data of at least one first attribute feature corresponding to each of the multiple target objects based on the first comparison instruction, and to generate table data based on the feature data of at least one first attribute feature corresponding to each of the multiple target objects.

[0114] Displaying the comparison information on the user interface may include: displaying table data on the user interface.

[0115] For the convenience of viewing, the table may be in the form of a cross-tabulation, so the cross-tabulation data may be generated based on the feature data of at least one first attribute feature corresponding to each of the plurality of target objects.

[0116] The first header in the cross-tabular data may be, for example, object identification information such as an object name or an object picture, and the second header may be an attribute feature such as an attribute feature name.

[0117] In addition, in order to reduce the difficulty of understanding, improve reading speed, etc., in some embodiments, the above-mentioned generating a first comparison instruction according to the multiple target objects selected by the user, and comparing the object information of the multiple target objects based on the first comparison instruction to generate comparison information may include:

[0118] A first comparison instruction is generated according to multiple target objects selected by a user, so as to obtain feature data of at least one first attribute feature corresponding to each of the multiple target objects based on the first comparison instruction, and to generate table data based on the feature data of at least one first attribute feature corresponding to each of the multiple target objects, and in the table data, field values ​​corresponding to the first attribute feature having the same feature data corresponding to the multiple target objects are set as predetermined marking symbols, and field values ​​corresponding to the attribute features having different feature data are set as feature data.

[0119] The above-mentioned display of comparison information in the user interface may include: displaying table data in the user interface, and displaying the field values ​​corresponding to the first attribute features with the same characteristic data in the table data as predetermined marking symbols, and displaying the field values ​​corresponding to the first attribute features with different characteristic data as corresponding characteristic data.

[0120] The predetermined marking symbol can indicate that the corresponding characteristic data are the same. For example, it can be represented by a predetermined identification symbol such as a check mark or a circle, so that the user can directly determine that the attribute characteristics are the same based on the predetermined marking symbol without having to spend mental time checking.

[0121] For ease of understanding, Figure 2c In the interface diagram shown, the comparison information can be displayed in the user interface 200. The comparison information is cross-tabulation data, and the comparison information is carried in the form of a cross-tabulation. The first header 205 is object identification information such as an object picture, etc., and the second header 206 can be attribute features such as attribute feature names, etc. The intersection of each row and each column is the feature data of an attribute feature corresponding to a target object, wherein the attribute features with the same feature data are as follows: Figure 2cThe corresponding field value of "Power Source" is a predetermined marking symbol such as a check mark symbol.

[0122] exist Figure 2c In the interface schematic diagram shown, feature prompt information 207 may also be displayed in the user interface 200. The feature prompt information may include, for example, a feature selection control, etc. The feature selection operation may be a trigger operation for the feature selection control; based on the feature selection operation, an attribute feature list may be displayed in the user interface for the user to select at least one second attribute feature.

[0123] Optionally, after the user selects at least one second attribute feature, the table data may be updated according to feature data of the at least one second attribute feature.

[0124] In some embodiments, after displaying the comparison information in the user interface, the method may further include:

[0125] In response to an acquisition operation for at least one target object, demand prompt information is displayed in a user interface; based on the interaction demand provided by the user, an interaction request is sent to an object provider that provides at least one target object.

[0126] In some object interaction scenarios, users need to communicate with the object provider for the object they intend to interact with in order to provide their own demand information. Taking the cross-border B2B e-commerce scenario as an example, users can provide suppliers with the quantity of goods they need, the delivery address, and other special requirements, so that the supplier can further formulate a logistics service plan or provide more favorable commodity prices for users to further screen, etc. Therefore, in the embodiment of the present application, the user can further trigger the acquisition operation for at least one target object. At this time, the demand prompt information can be displayed on the user interface for the user to provide the interaction demand. The interaction demand can include information types such as the number of objects, the delivery address, and the remarks information. Based on the interaction demand, an interaction request can be directly sent to the object provider who provides at least one target object, and the interaction request can include the interaction demand.

[0127] For ease of understanding, Figure 2d In the interface diagram shown, demand prompt information can be displayed in the user interface 200. The demand prompt information can include, for example, information input controls 208 corresponding to at least one demand type such as object quantity, delivery address, etc., so that the user can provide corresponding interaction requirements through the information input controls 208.

[0128] The user interface 200 may also display a sending prompt message 209 , so that in response to the interactive operation triggered by the sending prompt message 209 , an interactive request may be sent to the object provider corresponding to each target object based on the interactive requirements.

[0129] In addition, in some embodiments, the method may further include:

[0130] In response to an acquisition operation for multiple target objects, demand prompt information is displayed in a user interface; based on the interaction demand input by the user, an interaction request is sent to an object provider that provides at least one first object.

[0131] As can be seen from the foregoing description, in response to the first object selection operation, multiple target objects selected by the user can be determined, and then comparison prompt information for the multiple target objects can be displayed in the user interface; in addition, in the embodiment of the present application, demand prompt information for the multiple target objects can also be displayed in the user interface, such as Figure 2b In the interface diagram shown, acquisition prompt information 210 may be displayed in the user interface 200; the acquisition operation for multiple target objects may be a trigger operation for the acquisition prompt information, etc. In the embodiment of the present application, the user may select multiple target objects based on the object prompt information to compare the object information to generate comparison information, and then select at least one target object based on the comparison information to provide interaction requirements. Of course, the interaction requirements may also be directly confirmed and provided based on the object prompt information.

[0132] In some embodiments, corresponding selection prompt information may be displayed for each target object in the user interface. The selection prompt information may include, for example, a selection control. A triggering operation based on the selection prompt information of any target object may select the target object.

[0133] In addition, acquisition prompt information may be displayed for the at least one selected target object, and the acquisition operation for the at least one target object may also be a trigger operation for acquiring the prompt information.

[0134] For ease of understanding, Figure 2c As shown, when the user interface 200 displays the comparison information, the selection prompt information 211 corresponding to each target object may be displayed.

[0135] like Figure 2e In the interface diagram shown, after the user selects at least one target object, the acquisition prompt information 212 can be displayed in the user interface 200, so that the acquisition operation triggered by the acquisition prompt information 212 can trigger the display of the following information: Figure 2d The interface diagram is shown.

[0136] In addition, if Figure 2e As shown, a clearing prompt message 213 may also be displayed in the user interface 200 . In response to a triggering operation of clearing the prompt message 213 , the comparison information corresponding to at least one target object may be deleted.

[0137] In addition, if Figure 2c As shown in , when the user interface displays the comparison information, the deletion prompt information 214 corresponding to each target object can also be displayed, so that the object deletion operation triggered by the deletion prompt information 214 of any target object can delete the comparison information of the target object.

[0138] In addition, the corresponding selection prompt information may be displayed only for the target object belonging to the target object providing system. Therefore, in some embodiments, the method may further include:

[0139] Displaying corresponding selection prompt information for a target object belonging to the target object providing system in a user interface; determining at least one selected target object in response to a second object selection operation triggered based on the selection prompt information; and displaying acquisition prompt information for at least one target object in the user interface;

[0140] The sending of the interaction request to the object provider that provides at least one target object based on the interaction requirement provided by the user includes: based on the interaction requirement provided by the user, calling the target object providing system to send the interaction request to at least one object provider that provides at least one target object.

[0141] Among them, the target object providing system can be an object providing system of an integrated object processing system, that is, the server end of the object processing system can be the same server end as the server end of the target object providing system; of course, the target object providing system can be an object providing system authorized for use by the object processing system, so that the target object providing system can be called through a corresponding interface, etc.

[0142] In some embodiments, after or while the user interface displays object prompt information corresponding to the plurality of first objects, the method may further include:

[0143] At least one feature keyword is displayed on a user interface; an update instruction is generated according to at least one target feature keyword selected by a user, so as to filter at least one first object matching at least one target feature keyword from a plurality of first objects based on the update instruction, and the user interface is updated to display object prompt information of the at least one first object.

[0144] The at least one feature keyword may be generated based on feature data of attribute features involved in multiple first objects, for example, the at least one feature keyword may include multiple feature data corresponding to each specific attribute feature.

[0145] For ease of understanding, Figure 2f In the interface diagram shown, Figure 2c The interface diagram shown is different in that Figure 2fAt least one feature keyword 215 can also be displayed in the user interface 200. The at least one feature keyword can correspond to one or more specific attribute features. For example, if the specific attribute feature is style, the corresponding feature data such as long, short, medium and long are the feature keywords; or if the specific attribute feature is style, the corresponding feature data such as pastoral style, French, cute, etc. are the feature keywords.

[0146] Optionally, each feature keyword can be displayed in the feature control. The trigger operation of the feature control can select the corresponding target feature keyword. The selected target feature keyword can also display the corresponding specific tag information, etc. In addition, a confirmation control can also be displayed in the user interface to trigger the generation of an update instruction.

[0147] In some embodiments, the method may further include:

[0148] Searching for object information of at least one second object that satisfies a second similarity condition with the plurality of first objects from at least one object providing system, and generating object prompt information based on the object information; and displaying the object prompt information of the at least one second object in a user interface;

[0149] The generating of the first comparison instruction according to the multiple target objects selected by the user includes:

[0150] In response to a first object selection operation for a plurality of first objects and at least one second object, a plurality of target objects are determined and a first comparison instruction is generated.

[0151] That is, in addition to determining multiple first objects based on the search information, second objects similar to each first object can also be searched based on object similarity. The second similarity condition can be, for example, that the object similarity is greater than a certain similarity threshold. Object similarity can be calculated based on object information of the first object and object information of the second object.

[0152] In some embodiments, the method may further include:

[0153] Generating a first comparison instruction according to a plurality of target objects selected by a user, and comparing object information of the plurality of target objects based on the first comparison instruction to generate comparison information includes:

[0154] In response to a first object selection operation, at least one selected first candidate object is determined and at least one second candidate object that satisfies a first similarity condition with the at least one first candidate object is searched from at least one object providing system; at least one first candidate object and at least one second candidate object are used as multiple target objects and a first comparison instruction is generated to compare the object information of the multiple target objects based on the first comparison instruction to generate comparison information.

[0155] That is, the user can select at least one first candidate object from multiple first objects, and then search for second candidate objects similar to each first candidate object based on object similarity. The first similarity condition can be, for example, that the object similarity is greater than a certain similarity threshold. The object similarity can be calculated based on the object information of the first candidate object and the object information of the second candidate object.

[0156] The similarity threshold in the second similarity condition may be the same as or different from the similarity threshold in the first similarity condition.

[0157] The first object selection operation may be performed on at least one first object, or may be performed on at least one first object and at least one second object.

[0158] In some embodiments, generating a search instruction according to search information provided by a user, acquiring object information respectively corresponding to a plurality of first objects matching the search information from at least one object providing system based on the search instruction, and generating object prompt information based on the object information may include:

[0159] Get the search information entered by the user;

[0160] At least one search keyword is extracted from the search information using the large model, and a search instruction is generated based on the at least one search keyword.

[0161] The search information input by the user may be a piece of text, so that the large model can be used to extract at least one search keyword from the search information and then perform the search.

[0162] In addition, in some embodiments, generating a search instruction according to the search information provided by the user, obtaining object information respectively corresponding to a plurality of first objects matching the search information from at least one object providing system based on the search instruction, and generating object prompt information based on the object information may include:

[0163] Acquire search information input by a user, generate a search instruction based on the search information, and send the search instruction to a server so that the server can use a large model to extract at least one search keyword from the search information, and acquire object information corresponding to multiple first objects matching the search information from at least one object providing system, and generate object prompt information based on the object information.

[0164] That is, the client or server may use the large model to process the search information to obtain at least one search keyword, which is not limited in this application.

[0165] It should be noted that the large model involved in the embodiments of the present application refers to an artificial intelligence model with an extremely high number of parameters and computing power. In practical applications, the large model can be implemented using a large language model, such as GPT-3 (Generative Pre-Trained Transformer-3, the third generation of generative pre-training model), GPT-4 (Generative Pre-Trained Transforme-4, the fourth generation of generative pre-training model), BERT (Bidirectional Encoder Representation from Transformers, a bidirectional encoder model based on Transformers), Turing NLG (Turing Natural language Generation), etc. In the embodiments of the present application, the large model that performs different operations such as generating evaluation results and extracting at least one search keyword can be the same large model or a different large model, and the present application does not limit this. With the help of an artificial intelligence large model, users do not need to enter search keywords that require certain symbol requirements, and directly use natural language combined with search intent to provide corresponding search information, that is, accurate search matching can be achieved. The search information may be, for example, "I want to find a blue dress with lace", and the at least one search keyword extracted by means of the large model may include, for example, "blue", "lace" and "dress" and the like.

[0166] In some embodiments, the method may further include:

[0167] In response to a user saving operation, the comparison information is saved, and the comparison prompt information is displayed in the user interface; and when a viewing operation on the comparison prompt information is detected, the comparison information is displayed in the user interface.

[0168] In this embodiment, the current comparison information can be saved so that it can be viewed later.

[0169] In some embodiments, the method may further include:

[0170] Display new prompt information in the user interface;

[0171] In response to the first adding operation, displaying object prompt information corresponding to the plurality of first objects respectively on the user interface, and in response to the object reselection operation, updating the plurality of target objects and generating a third comparison instruction, so as to compare the object information of the plurality of target objects based on the third comparison instruction to update the comparison information;

[0172] or,

[0173] In response to the second adding operation, an object link provided by a user is obtained, and multiple target objects are updated based on the object indexed by the object link and a fourth comparison instruction is generated, so as to compare the object information of the multiple target objects based on the fourth comparison instruction to update the comparison information.

[0174] When the user interface displays comparison information, additional prompt information may also be displayed to allow the user to add objects for comparison.

[0175] The first adding operation may trigger the redisplay of object prompt information corresponding to the plurality of first objects, and the user may reselect the plurality of target objects. The client may display the object prompt information corresponding to the plurality of first objects in a pop-up page, a floating page, or a drawer page.

[0176] The second new operation can support the user to provide an object link, so that the object indexed by the object link can be added to multiple target objects for comparison, and the corresponding object information can be obtained from the object page of the object link index.

[0177] Of course, as can be seen from the foregoing description, when the comparison information is displayed in the user interface, any target object can also be directly deleted.

[0178] Figure 3 This is a flowchart of another embodiment of an object processing method provided in an embodiment of the present application. The technical solution of this embodiment can be executed by a client or a server. The method may include the following steps:

[0179] 301: Get the search information provided by the user.

[0180] When the technical solution of this embodiment is executed by the server, search prompt information can be provided to the client so that the client can display the search prompt information in the user interface; then obtaining the search information provided by the user can be: obtaining the search instruction sent by the client to determine the search information provided by the user; the search instruction is also generated by the client based on the search information provided by the user.

[0181] 302: Obtain object information respectively corresponding to a plurality of first objects matching the search information from at least one object providing system, and generate object prompt information based on the object information.

[0182] When the technical solution of this embodiment is executed by the server, object information corresponding to multiple first objects matching the search information can be obtained from at least one object providing system based on the search instruction, and object prompt information can be generated based on the object information.

[0183] 303: Send object prompt information corresponding to the plurality of first objects to the user.

[0184] When the technical solution of this embodiment is executed by the server, object prompt information corresponding to the multiple first objects may be sent to the client, so that the client can display the object prompt information corresponding to the multiple first objects in the user interface.

[0185] 304: Determine multiple target objects selected by the user.

[0186] 305: Compare object information of multiple target objects to generate comparison information.

[0187] When the technical solution of this embodiment is executed by the server, determining the multiple target objects selected by the user can be by obtaining a first comparison instruction sent by the client to determine the multiple target objects selected by the user; the first comparison instruction is also generated by the client based on the multiple target objects selected by the user; the above-mentioned comparison of object information of the multiple target objects to generate comparison information can be based on the first comparison instruction to compare the object information of the multiple target objects to generate comparison information.

[0188] In addition, the server may also send the comparison information to the client, so that the client can display the comparison information in a user interface.

[0189] In some embodiments, when the technical solution of this embodiment is executed by the server, the method may further include:

[0190] Obtaining an acquisition request for at least one target object; sending demand prompt information to a client; and sending an interaction request to an object provider that provides at least one target object based on the interaction demand provided by the user.

[0191] The acquisition request may be generated by the client in response to an acquisition operation for at least one target object. The client may send the interaction requirement provided by the user to the server, so that the server may send an interaction request to the object provider based on the interaction requirement.

[0192] For example, an interaction request may be sent to the object provider of each target object through a communication account. The communication account may be, for example, an email account, a registered account in the object providing system, and the like.

[0193] In some embodiments, when the technical solution of this embodiment is executed by the server, the method may further include:

[0194] For a target object belonging to the target object providing system, sending selection prompt information to the client; determining at least one target object according to a second object selection request sent by the client, and sending acquisition prompt information to the client; in response to an acquisition request for at least one target object sent by the client, sending demand prompt information to the client;

[0195] Then the sending of the interaction request to the object provider that provides at least one target object based on the interaction requirement provided by the user includes: based on the interaction requirement provided by the user, calling the target object providing system to send the interaction request to at least one object provider that provides at least one target object.

[0196] In some embodiments, the method may further include:

[0197] At least one second object that satisfies a second similarity condition with the plurality of first objects is searched from at least one object providing system; object prompt information of the at least one second object is sent to a client to display the object prompt information of the at least one second object in a user interface; and a first comparison instruction is generated for the plurality of target objects determined by the object selection operation of the plurality of first objects and the plurality of second objects.

[0198] In some embodiments, obtaining the first comparison instruction may include:

[0199] Obtain a first object selection request sent by a client and determine at least one first candidate object; search for at least one second candidate object that satisfies a first similarity condition with the at least one first candidate object from at least one object providing system; use the at least one first candidate object and the at least one second candidate object as multiple target objects and generate a first comparison instruction.

[0200] The first object selection request may be generated by the client in response to a first object selection operation, etc.

[0201] In some embodiments, the comparison information may include feature data of at least one first attribute feature corresponding to each of the plurality of target objects; the method may further include:

[0202] Send multiple attribute features to the client; in response to the feature selection request sent by the client, generate a second comparison instruction based on at least one second attribute feature selected by the user to compare at least one second attribute feature of multiple target objects based on the second comparison instruction; update the comparison information based on the feature data of the at least one second attribute feature.

[0203] The feature selection request may be generated by the client in response to a feature selection operation for multiple attribute features.

[0204] In some embodiments, the method may further include:

[0205] Based on the feature data of at least one first attribute feature respectively corresponding to the multiple target objects, the evaluation result of any target object is generated by using a large model; and the evaluation results respectively corresponding to the multiple target objects are used as a comparison information.

[0206] Of course, it is also possible to generate an evaluation result of any target object using a large model based on feature data of at least one first attribute feature and at least one second attribute feature corresponding to multiple target objects respectively.

[0207] In some embodiments, the method may further include:

[0208] In the case where at least one of the first attribute feature or at least one of the second attribute feature includes a cost feature, a cost profit is generated according to a sales price and a supply price corresponding to the target object, and the cost profit is used as feature data of the cost feature;

[0209] In the case where the at least one first attribute feature or the at least one second attribute feature includes a sales price feature, the sales price corresponding to the target object is used as feature data of the sales price feature.

[0210] In some embodiments, comparing the object information of the plurality of target objects based on the first comparison instruction to generate the comparison information may include:

[0211] Based on the first comparison instruction, characteristic data of at least one first attribute feature corresponding to each of the multiple target objects are obtained; based on the characteristic data of at least one first attribute feature corresponding to each of the multiple target objects, table data are generated, and in the table data, field values ​​corresponding to the first attribute feature having the same characteristic data corresponding to the multiple target objects are set as predetermined marking symbols, and field values ​​corresponding to the attribute features having different characteristic data are set as characteristic data.

[0212] The table data is sent to the client as comparison information so that the client can display the table data.

[0213] In some embodiments, the acquiring object information respectively corresponding to a plurality of first objects matching the search information from at least one object providing system based on the search instruction, and generating object prompt information based on the object information may include:

[0214] At least one search keyword is extracted from the search information using a large model, object information corresponding to a plurality of first objects matching the search information is obtained from at least one object providing system, and object prompt information is generated based on the object information.

[0215] In some embodiments, the method may further include:

[0216] Obtain acquisition requests for multiple target objects; send demand prompt information for the multiple target objects to the client; and send interaction requests to object providers that provide the multiple target objects based on interaction requirements provided by the user.

[0217] In some embodiments, the method may further include:

[0218] In response to a save request, the comparison information is saved, and viewing prompt information is sent to the client; when a viewing request for the comparison prompt information is detected, the comparison information is sent to the client.

[0219] The comparison information may be saved in the client or in the server, and then sent to the client for display according to the viewing request of the client. The viewing request may be generated by the client in response to a viewing operation for viewing the prompt information.

[0220] In some embodiments, the method may further include:

[0221] Send new reminder information to the client;

[0222] receiving a third comparison instruction, determining a plurality of target objects after update, and comparing object information of the target objects to update the comparison information; the plurality of target objects after update are determined based on an object reselection operation for the plurality of first objects;

[0223] or,

[0224] Upon receiving a fourth comparison instruction, multiple target objects are updated based on the object link index provided by the user, and object information of the multiple target objects is compared to update comparison information.

[0225] Wherein, upon receiving the third comparison instruction, the object prompt information corresponding to the plurality of first objects may be sent to the client for display by the client. Optionally, the client may display the object prompt information corresponding to the plurality of first objects in the form of a pop-up page, a floating page, or a drawer page. Then, the plurality of target objects after the update may be determined according to the object reselection request sent by the client. Wherein, the object reselection request may be generated by the client in response to the object reselection operation.

[0226] The fourth comparison instruction may be generated by the client according to the object link provided by the user.

[0227] It should be noted that Figure 3 The specific manner of the corresponding operations in the illustrated embodiment has been described in detail in the above-mentioned related embodiments and will not be elaborated on in detail here.

[0228] In a practical application, the technical solution of the embodiment of the present application can be applied to an e-commerce scenario to realize product information comparison. In the e-commerce scenario, the object refers to the product, the object provider refers to the merchant, and the object providing system refers to the e-commerce system. Figure 4 As shown, the embodiment of the present application also provides a commodity information comparison method. The technical solution of this embodiment can be executed by a client. The method may include the following steps:

[0229] 401: Provide a user interface and display search prompt information in the user interface.

[0230] 402: Generate a search instruction according to the search information provided by the user, obtain product information corresponding to multiple first products matching the search information from at least one e-commerce system based on the search instruction, and generate product prompt information based on the product information.

[0231] 403: Displaying commodity prompt information corresponding to the plurality of first commodities respectively on the user interface.

[0232] 404: Generate a first comparison instruction according to the multiple target products selected by the user, so as to generate comparison information by comparing product information of the multiple target products based on the first comparison instruction.

[0233] 405: Display comparison information in the user interface.

[0234] It should be noted that Figure 4 The embodiment shown and Figure 1 The embodiment shown in the figure is different from the above-mentioned related embodiments in that the object is specifically implemented as a commodity, the object providing system is specifically implemented as an e-commerce system, and the object provider is the merchant. Other same or corresponding operations can be seen in detail. Figure 1 The embodiments shown in the figure and the related embodiments described above will not be repeated here.

[0235] like Figure 5 As shown, the embodiment of the present application also provides a commodity information comparison method, which may include the following steps:

[0236] 502: Get the search information provided by the user.

[0237] 503: Obtain product information corresponding to a plurality of first products matching the search information from at least one e-commerce system, and generate product prompt information based on the product information.

[0238] 504: Send product prompt information corresponding to the plurality of first products to the user.

[0239] 505: Determine multiple target products selected by the user.

[0240] 506: Compare product information of multiple target products to generate comparison information.

[0241] It should be noted that Figure 5 The embodiment shown and Figure 3 The embodiment shown in the figure is different from the above-mentioned related embodiments in that the object is specifically implemented as a commodity, the object providing system is specifically implemented as an e-commerce system, and the object provider is the merchant. Other same or corresponding operations can be seen in detail. Figure 3The illustrated embodiment and the above-mentioned related embodiments are described and will not be repeated here.

[0242] In a practical application, the technical solution of the embodiment of the present application can be specifically applied to a cross-border e-commerce B2B scenario, where the user is a seller, the object provider is a supplier, the object is a commodity, and the object providing system is also a cross-border e-commerce system; the following takes a cross-border B2B e-commerce scenario as an example. Figure 6 In the scene interaction diagram shown, the client 601 can provide the user interface 200 , and the server 602 can send search prompt information to the client 601 , so that the client 601 can display the search prompt information in the user interface 200 .

[0243] In response to the user input operation, the client 601 can determine the search information provided by the user and generate a search instruction, so that the search instruction can be sent to the server 602; the server 602 can obtain the product information corresponding to multiple first products matching the search information from at least one cross-border e-commerce system 600 based on the search instruction, and generate product prompt information based on the product information; the server 602 can send the product prompt information to the client 601, and the client 601 will display the product prompt information of the multiple first products in the user interface.

[0244] The client 601 may send a first product selection request to the server 602 in response to the first product selection operation, so that the server 602 can determine the multiple target products selected by the user; the server 602 may send comparison prompt information to the client 601, so that the client can display the comparison prompt information in the user interface, and send a first comparison instruction to the server 602 in response to the user's comparison operation on the comparison prompt information; the server 602 compares the product information of the multiple target products based on the first comparison instruction to generate comparison information.

[0245] Afterwards, the server 602 can send the comparison information to the client 601, and the client 601 can display the comparison information in the user interface; the client 601 can respond to the second product selection operation, and the server 602 sends a second product selection request, so that the server 602 can determine at least one target product selected by the user, and can send acquisition prompt information to the client 601; the client 601 displays the acquisition prompt information in the user interface, and can perceive the acquisition operation triggered by the acquisition prompt information, thereby sending an acquisition request to the server 602; the server 602 can send demand prompt information to the client 601 according to the acquisition request, and the client 601 displays the demand prompt information in the user interface, and can perceive the interaction demand input by the user and send the interaction demand to the server 602, so that the server 602 can send an interaction request to the supplier providing at least one target product based on the interaction demand.

[0246] The comparison information displayed by the client 601 may include feature data corresponding to at least one first attribute feature of each target product, and the at least one attribute feature may include a cost feature. The comparison information may also include evaluation results of each target product, etc., so as to meet the differentiated needs of different users. In addition, for attribute features with the same feature data, the feature data can be represented by the same predetermined marking symbols to improve reading speed and reduce the difficulty of understanding.

[0247] In addition, the comparison information can also be saved for next viewing or continued comparison.

[0248] In the embodiment of the present application, the comparison information can be saved so that the comparison information is traceable, thereby eliminating the need to re-search the products for each comparison, thereby improving the comparison efficiency; in addition, the cost profit corresponding to the cost feature, as well as the evaluation results obtained by integrating the feature data of different attribute features, can also be displayed in the comparison information, which can help users make quick decisions. In addition, the user only needs to search once to compare all the products on the entire network, which can reduce the user's search and labor costs in various e-commerce systems, thereby improving the efficiency of product information comparison, simplifying the product information comparison operation, and improving the user experience.

[0249] Figure 7 A schematic diagram of the structure of an embodiment of an object processing device provided in an embodiment of the present application, the device may include:

[0250] The display processing module 701 is used to provide a user interface and display search prompt information on the user interface.

[0251] The information determination module 702 is used to generate a search instruction according to the search information provided by the user, so as to obtain object information corresponding to multiple first objects matching the search information from at least one object providing system based on the search instruction, and generate object prompt information based on the object information.

[0252] The display processing module 701 is further configured to display object prompt information respectively corresponding to the plurality of first objects on the user interface.

[0253] A first comparison module 703, configured to generate a first comparison instruction according to the multiple target objects selected by the user, so as to compare the object information of the multiple target objects based on the first comparison instruction to generate comparison information;

[0254] The display processing module 701 is further configured to display the comparison information on the user interface.

[0255] In a practical application, the technical solution of the embodiments of the present application can be applied to an e-commerce scenario. In the e-commerce scenario, the object refers to the product, the object provider refers to the merchant, and the object providing system refers to the e-commerce system. In some embodiments, the above-mentioned information determination module can specifically: generate a search instruction according to the search information provided by the user, so as to obtain the product information corresponding to multiple first products matching the search information from at least one e-commerce system based on the search instruction, and generate product prompt information based on the product information.

[0256] The display processing module may be specifically configured to display commodity prompt information respectively corresponding to the plurality of first commodities on the user interface.

[0257] The first comparison module may be specifically configured to generate a first comparison instruction according to the multiple target commodities selected by the user, so as to compare the commodity information of the multiple target commodities based on the first comparison instruction to generate comparison information.

[0258] In some embodiments, the display processing module is also used to display demand prompt information in the user interface in response to an acquisition operation for at least one target object; and send an interaction request to an object provider that provides the at least one target object based on the interaction requirements provided by the user.

[0259] In some embodiments, the first comparison module can be specifically used to determine, in response to a first object selection operation, at least one selected first candidate object and to search, from the at least one object providing system, at least one second candidate object that satisfies a first similarity condition with the at least one first candidate object; to take the at least one first candidate object and the at least one second candidate object as multiple target objects and to generate a first comparison instruction to compare the object information of the multiple target objects based on the first comparison instruction to generate comparison information.

[0260] In some embodiments, the display processing module may also be used to display corresponding selection prompt information for a target object belonging to the target object providing system in the user interface; determine the selected at least one target object in response to a second object selection operation triggered based on the selection prompt information; and display acquisition prompt information for the at least one target object in the user interface;

[0261] The display processing module sends an interaction request to the object provider that provides the at least one target object based on the interaction requirement provided by the user, including: based on the interaction requirement provided by the user, calling the target object providing system to send an interaction request to at least one object provider that provides the at least one target object.

[0262] In some embodiments, the display processing module is also used to display at least one feature keyword on the user interface; generate an update instruction based on at least one target feature keyword selected by the user, to filter at least one first object matching the at least one target feature keyword from the multiple first objects based on the update instruction, and to update the user interface to display object prompt information of the at least one first object.

[0263] In some embodiments, the comparison information includes feature data of at least one first attribute feature corresponding to each of the multiple target objects; the display processing module is also used to display feature prompt information in the user interface; in response to a feature selection operation, multiple attribute features are displayed in the user interface; a second comparison instruction is generated based on at least one second attribute feature selected by the user to compare at least one second attribute feature of the multiple target objects based on the second comparison instruction; and the comparison information in the user interface is updated based on the feature data of the at least one second attribute feature.

[0264] In some embodiments, the first comparison module can specifically generate a first comparison instruction based on the multiple target objects selected by the user, so as to obtain feature data of at least one first attribute feature corresponding to the multiple target objects respectively based on the first comparison instruction, and generate an evaluation result of any target object using a large model based on the feature data of at least one first attribute feature corresponding to the multiple target objects respectively, and use the feature data of at least one first attribute feature corresponding to the multiple target objects respectively and the corresponding evaluation results as comparison information.

[0265] The display processing module displays the comparison information on the user interface by specifically displaying feature data of at least one first attribute feature corresponding to a plurality of target objects and the corresponding evaluation results on the user interface.

[0266] In some embodiments, the first comparison module may specifically generate a first comparison instruction based on the multiple target objects selected by the user, so as to obtain characteristic data of at least one first attribute feature corresponding to the multiple target objects respectively based on the first comparison instruction, and when the at least one first attribute feature includes a cost feature, generate a cost profit according to the sales prices and supply prices respectively corresponding to the multiple target objects, and use the cost profit as the characteristic data of the cost feature, or when the at least one first attribute feature includes a sales price feature, use the sales price corresponding to the target object as the characteristic data of the sales price feature.

[0267] The display processing module displays the comparison information in the user interface by specifically displaying feature data of multiple target objects corresponding to at least one first attribute feature in the user interface, and displaying the corresponding cost profit when at least one first attribute feature includes a cost feature; or displaying the corresponding sales price when at least one first attribute feature includes a sales price feature.

[0268] In some embodiments, the first comparison module can specifically generate a first comparison instruction based on the multiple target objects selected by the user, so as to obtain feature data of at least one first attribute feature corresponding to the multiple target objects respectively based on the first comparison instruction, and generate table data based on the feature data of at least one first attribute feature corresponding to the multiple target objects respectively, and in the table data, the field value corresponding to the first attribute feature with the same feature data corresponding to the multiple target objects is set to a predetermined marking symbol, and the field value corresponding to the attribute feature with different feature data is set to the feature data.

[0269] The display processing module displays the comparison information in the user interface by specifically displaying table data in the user interface, and the field values ​​corresponding to the first attribute features with the same characteristic data in the table data are displayed as predetermined marking symbols, and the field values ​​corresponding to the first attribute features with different characteristic data are displayed as corresponding characteristic data.

[0270] In some embodiments, the information determination module may specifically obtain search information input by a user, and generate a search instruction based on the search information, so as to extract at least one search keyword from the search information using a large model based on the search instruction, and obtain object information corresponding to multiple first objects matching the search information from at least one object providing system, and generate object prompt information based on the object information.

[0271] In some embodiments, the device may further include:

[0272] A saving module, used for saving the comparison information in response to a user saving operation, and displaying a viewing prompt information in the user interface;

[0273] The display processing module is further used to detect a viewing operation for the viewing prompt information and display the comparison information in the user interface.

[0274] In some embodiments, the display processing module is further used to display new prompt information on the user interface;

[0275] In response to the first adding operation, displaying object prompt information respectively corresponding to the plurality of first objects on the user interface, and in response to the object reselection operation, updating the plurality of target objects and generating a third comparison instruction, so as to compare the object information of the plurality of target objects based on the third comparison instruction to update the comparison information;

[0276] or,

[0277] In response to the second adding operation, the object link provided by the user is obtained, and the multiple target objects are updated based on the objects indexed by the object link and a fourth comparison instruction is generated, so as to compare the object information of the multiple target objects based on the fourth comparison instruction to update the comparison information.

[0278] Figure 7 The object processing device can execute Figure 1 The implementation principle and technical effect of the object processing method described in the illustrated embodiment will not be described in detail. The specific manner in which each module and unit performs operations in the object processing device in the above embodiment has been described in detail in the embodiment of the method, and will not be described in detail here.

[0279] Figure 8 A schematic diagram of a structure of another embodiment of an object processing device provided in an embodiment of the present application, the device may include:

[0280] The information acquisition module 801 is used to acquire the search information provided by the user.

[0281] An information generating module 802 is configured to obtain object information respectively corresponding to a plurality of first objects matching the search information from at least one object providing system, and generate object prompt information based on the object information;

[0282] An information sending module 803 is used to send object prompt information corresponding to the multiple first objects to the user;

[0283] An object determination module 804 is used to determine a plurality of target objects selected by the user;

[0284] The second comparison module 805 is configured to compare the object information of the plurality of target objects to generate comparison information.

[0285] In an actual application, the technical solution of the embodiment of the present application can be applied to an e-commerce scenario. In the e-commerce scenario, the object refers to a product, the object provider refers to a merchant, and the object providing system refers to an e-commerce system. In some embodiments, the information generation module can be specifically used to obtain product information corresponding to multiple first products matching the search information from at least one e-commerce system, and generate product prompt information based on the product information;

[0286] The information sending module may be specifically used to send commodity prompt information corresponding to the plurality of first commodities to the user;

[0287] The object determination module may be specifically used to determine the multiple target commodities selected by the user;

[0288] The second comparison module may be specifically configured to compare the commodity information of the plurality of target commodities to generate comparison information.

[0289] Figure 8 The object processing device can execute Figure 3 The implementation principle and technical effect of the object processing method described in the illustrated embodiment will not be described in detail. The specific manner in which each module and unit performs operations in the object processing device in the above embodiment has been described in detail in the embodiment of the method, and will not be described in detail here.

[0290] The present application also provides a computing device, such as Fig. 9 As shown, the device may include a storage component 901 and a processing component 902;

[0291] The storage component 901 stores one or more computer instructions, wherein the one or more computer instructions are called and executed by the processing component 902 to implement the following. Figure 1 The object processing method described in the embodiment shown or Figure 3 The object processing method described in the embodiment shown or Figure 4 The commodity information comparison method described in the embodiment shown or Figure 5 The commodity information comparison method described in the illustrated embodiment.

[0292] Of course, the computing device may also include other components, such as input / output interfaces, display components, communication components, etc.

[0293] The processing components in the computing device are used to implement the following Figure 1 The object processing method shown or Figure 4 In the case of the product information comparison method shown, the computing device may also include a display component to perform corresponding display operations.

[0294] The input / output interface provides an interface between the processing component and the peripheral interface module, which may be an output device, an input device, etc. The communication component is configured to facilitate wired or wireless communication between the computing device and other devices.

[0295] The processing component 902 may include one or more processors to execute computer instructions to complete all or part of the steps in the above method. Of course, the processing component may also be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components to perform the above method.

[0296] The storage component 901 is configured to store various types of data to support operations at the terminal. The storage component can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0297] The display component may be an electroluminescent (EL) element, a liquid crystal display or a micro display having a similar structure, or a retinal direct display or a similar laser scanning display.

[0298] It should be noted that the above computing device implements Figure 1 The object processing method shown or Figure 4 In the case of the product information comparison method shown, it can be specifically implemented as an electronic device. The electronic device can refer to a device used by a user and having the computing, Internet access, communication and other functions required by the user, such as a mobile phone, tablet computer, personal computer, wearable device, etc.

[0299] The computing device described above implements Figure 3 The object processing method shown or Figure 5 In the case of the commodity information comparison method shown, it can be a physical device or an elastic computing host provided by a cloud computing platform, etc. It can be implemented as a distributed cluster consisting of multiple servers or terminal devices, or as a single server or a single terminal device.

[0300] The present application also provides a computer-readable storage medium storing a computer program, wherein when the computer program is executed by a computer, the above-mentioned Figure 1 The object processing method described in the embodiment shown or Figure 3 The object processing method described in the embodiment shown or Figure 4 The commodity information comparison method described in the embodiment shown or Figure 5The commodity information comparison method described in the illustrated embodiment. The computer-readable medium may be included in the electronic device described in the above embodiment; or it may exist independently without being assembled into the electronic device.

[0301] The present application also provides a computer program product, which includes a computer program carried on a computer-readable storage medium. When the computer program is executed by a computer, the computer program can achieve the above-mentioned Figure 1 The object processing method described in the embodiment shown or Figure 3 The object processing method described in the embodiment shown or Figure 4 The commodity information comparison method described in the embodiment shown or Figure 5 The commodity information comparison method described in the illustrated embodiment. In such an embodiment, the computer program can be downloaded and installed from the network, and / or installed from a removable medium. When the computer program is executed by the processor, various functions defined in the system of the present application are executed.

[0302] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0303] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0304] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0305] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An object processing method, characterized in that: include: Providing a user interface and displaying search prompt information on the user interface; generating a search instruction according to search information provided by a user, acquiring object information corresponding to a plurality of first objects matching the search information from at least one object providing system based on the search instruction, and generating object prompt information based on the object information; Displaying object prompt information corresponding to each of the plurality of first objects on the user interface; generating a first comparison instruction according to the plurality of target objects selected by the user, and generating comparison information by comparing object information of the plurality of target objects based on the first comparison instruction; The comparison information is displayed on the user interface.

2. The method according to claim 1, characterized in that Also includes: In response to an acquisition operation for at least one target object, displaying demand prompt information in the user interface; Based on the interaction requirement provided by the user, an interaction request is sent to an object provider that provides the at least one target object.

3. The method according to claim 1, characterized in that The generating a first comparison instruction according to the multiple target objects selected by the user, and comparing the object information of the multiple target objects based on the first comparison instruction to generate comparison information includes: In response to a first object selection operation, determining at least one selected first candidate object and searching, from the at least one object providing system, for at least one second candidate object that satisfies a first similarity condition with the at least one first candidate object; The at least one first candidate object and the at least one second candidate object are used as a plurality of target objects and a first comparison instruction is generated, so as to compare the object information of the plurality of target objects based on the first comparison instruction to generate comparison information.

4. The method according to claim 2, characterized in that Also includes: Displaying corresponding selection prompt information for the target object belonging to the target object providing system in the user interface; In response to a second object selection operation triggered based on the selection prompt information, determining the at least one selected target object; Displaying acquisition prompt information for the at least one target object in the user interface; The sending of the interaction request to the object provider providing the at least one target object based on the interaction requirement provided by the user includes: Based on the interaction requirement provided by the user, the target object providing system is called to send an interaction request to at least one object provider that provides the at least one target object.

5. The method according to claim 1, wherein Also includes: Displaying at least one characteristic keyword on the user interface; An update instruction is generated according to at least one target feature keyword selected by the user, so as to filter at least one first object matching the at least one target feature keyword from the multiple first objects based on the update instruction, and update the user interface to display object prompt information of the at least one first object.

6. The method according to claim 1, wherein The comparison information includes feature data of at least one first attribute feature corresponding to each of the multiple target objects; the method further includes: Displaying feature prompt information in the user interface; In response to a feature selection operation, displaying a plurality of attribute features in the user interface; generating a second comparison instruction according to the at least one second attribute feature selected by the user, so as to compare the at least one second attribute feature of the plurality of target objects based on the second comparison instruction; The comparison information in the user interface is updated based on the feature data of the at least one second attribute feature.

7. The method according to claim 1, characterized in that The generating a first comparison instruction according to the multiple target objects selected by the user, and comparing the object information of the multiple target objects based on the first comparison instruction to generate comparison information includes: generating a first comparison instruction according to the plurality of target objects selected by the user, acquiring, based on the first comparison instruction, feature data corresponding to at least one first attribute feature of the plurality of target objects, generating an evaluation result of any target object using a large model based on the feature data corresponding to the at least one first attribute feature of the plurality of target objects, and using the feature data corresponding to the at least one first attribute feature of the plurality of target objects and the corresponding evaluation results as comparison information; Displaying the comparison information on the user interface includes: The user interface displays feature data of at least one first attribute feature corresponding to each of the plurality of target objects and corresponding evaluation results.

8. The method according to claim 1, characterized in that The generating a first comparison instruction according to the multiple target objects selected by the user, and comparing the object information of the multiple target objects based on the first comparison instruction to generate comparison information includes: generating a first comparison instruction based on the multiple target objects selected by the user, to obtain, based on the first comparison instruction, feature data of at least one first attribute feature corresponding to each of the multiple target objects, and, if the at least one first attribute feature includes a cost feature, generating a cost profit based on a sales price and a supply price corresponding to the target object, and using the cost profit as the feature data of the cost feature, or, if the at least one first attribute feature includes a sales price feature, using the sales price corresponding to the target object as the feature data of the sales price feature; Displaying the comparison information on the user interface includes: The user interface displays characteristic data of at least one first attribute feature corresponding to each of the multiple target objects, and when the at least one first attribute feature includes a cost feature, displays the corresponding cost profit, or when the at least one first attribute feature includes a sales price feature, displays the corresponding sales price.

9. The method according to claim 1, characterized in that The generating a first comparison instruction according to the multiple target objects selected by the user, and comparing the object information of the multiple target objects based on the first comparison instruction to generate comparison information includes: generating a first comparison instruction according to the plurality of target objects selected by the user, acquiring, based on the first comparison instruction, feature data corresponding to at least one first attribute feature of the plurality of target objects, and generating table data based on the feature data corresponding to at least one first attribute feature of the plurality of target objects, wherein, in the table data, field values ​​corresponding to the first attribute features having the same feature data corresponding to the plurality of target objects are set to predetermined marking symbols, and field values ​​corresponding to the first attribute features having different feature data are set to the feature data; Displaying the comparison information on the user interface includes: The table data is displayed on the user interface, and the field values ​​corresponding to the first attribute features with the same characteristic data in the table data are displayed as predetermined marking symbols, and the field values ​​corresponding to the first attribute features with different characteristic data are displayed as corresponding characteristic data.

10. The method according to claim 1, characterized in that Generating a search instruction according to the search information provided by the user, obtaining object information corresponding to a plurality of first objects matching the search information from at least one object providing system based on the search instruction, and generating object prompt information based on the object information includes: Obtain search information input by a user, and generate a search instruction based on the search information, so as to extract at least one search keyword from the search information using a large model based on the search instruction, and obtain object information corresponding to multiple first objects matching the search information from at least one object providing system, and generate object prompt information based on the object information.

11. The method according to claim 1, wherein Also includes: In response to a user save operation, the comparison information is saved, and viewing prompt information is displayed in the user interface; A viewing operation for viewing the prompt information is detected, and the comparison information is displayed in the user interface.

12. The method according to claim 1 or 11, characterized in that After the comparison information is displayed on the user interface, the method further includes: Displaying new prompt information on the user interface; In response to the first adding operation, displaying object prompt information corresponding to the plurality of first objects respectively on the user interface, and in response to the object reselection operation, updating the plurality of target objects and generating a third comparison instruction, so as to compare the object information of the plurality of target objects based on the third comparison instruction to update the comparison information; or, In response to the second adding operation, the object link provided by the user is obtained, and the multiple target objects are updated based on the objects indexed by the object link and a fourth comparison instruction is generated to compare the object information of the multiple target objects based on the fourth comparison instruction to update the comparison information.

13. An object processing method, characterized in that: include: Obtain search information provided by users; acquiring object information corresponding to a plurality of first objects matching the search information from at least one object providing system, and generating object prompt information based on the object information; sending object prompt information corresponding to each of the plurality of first objects to the user; determining a plurality of target objects selected by the user; The object information of the plurality of target objects is compared to generate comparison information.

14. The method according to claim 13, characterized in that Also includes: Get a get request for at least one target object; Send demand prompt information to the client; Based on the interaction requirement provided by the user, an interaction request is sent to an object provider that provides the at least one target object.

15. The method according to claim 14, characterized in that The comparison information includes feature data of at least one first attribute feature corresponding to each of the multiple target objects; the method further includes: sending a plurality of attribute characteristics to the client; In response to the feature selection request sent by the client, generating a second comparison instruction based on the at least one second attribute feature selected by the user, so as to compare the at least one second attribute feature of the plurality of target objects based on the second comparison instruction; The comparison information is updated based on the feature data of the at least one second attribute feature.

16. The method according to claim 15, characterized in that Also includes: Based on the feature data of the plurality of target objects respectively corresponding to the at least one first attribute feature or the feature data respectively corresponding to the at least one first attribute feature and the at least one second attribute feature, generating an evaluation result of any target object using the large model, and using the evaluation results respectively corresponding to the plurality of target objects as comparison information; In the case where the at least one first attribute feature or the at least one second attribute feature includes a cost feature, generating a cost profit according to the sales price and the supply price respectively corresponding to the target object, and using the cost profit as the feature data of the cost feature; In the case where the at least one first attribute feature or the at least one second attribute feature includes a sales price feature, the sales price corresponding to the target object is used as feature data of the sales price feature.

17. A method for comparing product information, characterized in that: include: Providing a user interface and displaying search prompt information on the user interface; Generate a search instruction according to the search information provided by the user, obtain product information corresponding to multiple first products matching the search information from at least one e-commerce system based on the search instruction, and generate product prompt information based on the product information; Displaying product prompt information corresponding to each of the plurality of first products on the user interface; generating a first comparison instruction according to the plurality of target products selected by the user, and generating comparison information by comparing product information of the plurality of target products based on the first comparison instruction; The comparison information is displayed on the user interface.

18. A method for comparing product information, characterized in that: include: Obtain search information provided by users; Acquire product information corresponding to a plurality of first products matching the search information from at least one e-commerce system, and generate product prompt information based on the product information; Sending product prompt information corresponding to the plurality of first products to the user; determining a plurality of target commodities selected by the user; The product information of the plurality of target products is compared to generate comparison information.

19. A computing device, characterized in that including processing components and storage components; The storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement the object processing method according to any one of claims 1 to 12, or the object processing method according to any one of claims 13 to 16, or the product information comparison method according to claim 17, or the product information comparison method according to claim 18.

20. A computer-readable storage medium, characterized in that A computer program is stored thereon, and when the computer program is executed by the processing component, it implements the object processing method according to any one of claims 1 to 12, or the object processing method according to any one of claims 13 to 16, or the product information comparison method according to claim 17, or the product information comparison method according to claim 18.

21. A computer program product, characterized in that The method comprises a computer program / instruction, which, when executed by a processing component, implements the object processing method according to any one of claims 1 to 12, the object processing method according to any one of claims 13 to 16, the product information comparison method according to claim 17, or the product information comparison method according to claim 18.

Citation Information

Cited By

  • Object processing method, product information method, computing device, storage medium, and program product

    EP4708182A1