Commodity object analysis method and electronic device

Abstract

Embodiments of the present application disclose a commodity object analysis method and an electronic device. The method comprises: creating an analysis project according to received analysis requirement information, and creating a target interface for the analysis project; the analysis requirement information comprises basic information of a target commodity object and a plurality of characteristic description scripts to be analyzed; a plurality of script groups are obtained by selecting a target number of elements from the plurality of characteristic description scripts for combination or arrangement, and a plurality of analysis tasks are created; the target interface is shown to a plurality of first users for a plurality of times, wherein, when the target interface is shown to a first user, the basic information of the target commodity object and one analysis task are put into the target interface for display; and an analysis result is provided according to a first user selection corresponding to the plurality of analysis tasks. Through the embodiments of the present application, the commodity object can be analyzed more effectively.

Description

Technical Field

[0001] This application relates to the field of commodity object analysis technology, and in particular to commodity object analysis methods and electronic devices. Background Technology

[0002] For new products that are not yet on the market or have just been launched, merchants usually have a need to analyze the new products. For example, before the launch of a new product, merchants usually design multiple selling points (a characteristic of a product attribute used to characterize the product's unique or distinctive features) based on the product's characteristics. Then, by conducting consumer research, they find the best consumer expressions and determine which selling points should be promoted to attract the first user to click and make a purchase.

[0003] In existing technologies, a common approach is to list all selling points through surveys and invite consumers to participate in the questionnaires to obtain a sample. However, because questionnaires are usually quite long, the cost of consumer participation is high, resulting in low consumer participation rates and high sample recovery costs.

[0004] Therefore, how to more effectively analyze the selling points of a product has become a technical problem that needs to be solved by those skilled in the art. Summary of the Invention

[0005] This application provides a product object analysis method and electronic device, which can analyze product objects more effectively.

[0006] This application provides the following solution:

[0007] A method for analyzing descriptive copy about the characteristics of a product includes:

[0008] An analysis project is created based on the received analysis requirements information, and a target interface is created for the analysis project; the analysis requirements information includes basic information of the target product object, as well as multiple characteristic descriptions to be analyzed;

[0009] By selecting a target number of elements from the multiple feature description texts and combining or arranging them, multiple text groups are obtained, and multiple analysis tasks are created for the analysis project based on the multiple text groups;

[0010] The target interface is displayed to multiple first users multiple times. When the target interface is displayed to the first users, the basic information of the target product object and one of the analysis tasks are displayed on the target interface so that the first users can make a selection after comparing the feature descriptions within the same copy group.

[0011] Based on the first user selections corresponding to the multiple analysis tasks, analysis results are provided.

[0012] The target product objects include product objects that have not yet been officially published in the associated product object information system;

[0013] The method further includes:

[0014] A test version of the product object is created based on the basic information so that the analysis project can be associated with the test version of the product object.

[0015] The target quantity is 2.

[0016] If the copy group includes arrangement information between the feature descriptions, the arrangement information is used to determine the display order of the feature descriptions in the target interface.

[0017] This also includes:

[0018] By statistically analyzing and controlling the number of times the multiple analysis tasks are displayed, an average display of the multiple analysis tasks can be achieved.

[0019] The target interface includes a product object card interface, wherein the product object card includes a product object basic information display area and an analysis task information display area. The analysis task information display area is used to display the characteristic description texts in the same copy group and provides operation controls for performing selection operations.

[0020] The analysis requirement information also includes feature description images corresponding to the multiple feature description texts;

[0021] The target interface includes a carousel container for rotating basic information cards and multiple feature information cards for product objects. The basic information cards for product objects include a display area for basic information of the product object and a display area for analysis task information. The multiple feature information cards correspond to the feature description texts in the same text group and are used to display the feature description images and analysis task information respectively.

[0022] The step of displaying the target interface to multiple first users multiple times includes:

[0023] The target interface is displayed on a dedicated analysis channel page, whereby the analysis channel page is used to display the target interfaces corresponding to multiple analysis projects in a tiled manner.

[0024] The step of displaying the target interface to multiple first users multiple times includes:

[0025] The information of the analyzed project is synchronized to the private domain page building system of the second user associated with the product object, so that the target interface can be placed on the private domain page of the second user. During the process of the first user accessing the private domain page, the target interface is displayed to the first user.

[0026] The step of displaying the target interface to multiple first users multiple times includes:

[0027] The link information of the target interface is provided to the second user associated with the target product object so that the target interface can be displayed to the first user by sharing the link information through a social network system, QR code scanning or short video system.

[0028] The step of displaying the target interface to multiple first users multiple times includes:

[0029] The information of the analyzed project is synchronized to the live streaming backend system of the second user associated with the target product object, so that the target interface can be pushed to the first user for display during the live explanation of the target product object.

[0030] The provision of analysis results based on the first user selection corresponding to the multiple analysis tasks includes:

[0031] Based on the first user selections corresponding to the multiple analysis tasks, the winning outcome in the comparison process of each feature description copy is obtained, and analysis results are provided based on the winning outcome.

[0032] A product object analysis method, comprising:

[0033] Receive analysis request information for analyzing product objects that have not yet been officially published in the product object information system. The analysis request information includes at least the basic information of the product object and the analysis type information.

[0034] Generate a test version of the product object based on the aforementioned basic information;

[0035] An analysis project is created for the test version product object based on the analysis type information, and a target interface is created for the analysis project; the target interface is used to display the basic information of the test version product object and operation controls for performing target operations, the target operations being related to the type of the analysis project.

[0036] The information of the test version product object and the analysis project is synchronized to the live broadcast backend system of the second user associated with the target product object, so as to add the test version product object to the live broadcast list, and push the target interface to the users watching the live broadcast during the live broadcast explanation of the test version product object, so that the users watching the live broadcast can participate in the analysis project through the target interface.

[0037] The basic information of the product object includes: a representative image of the product object and title information.

[0038] The analysis types include: analyzing users' purchase intentions for the test version of the product;

[0039] The step of creating an analysis project for the test version product object based on the analysis type information, and creating a target interface for the analysis project, includes:

[0040] Create a reservation project for the test version product object and create a target interface for the reservation project. The target interface includes basic information of the test version product object and operation controls for making a reservation for the test version product object.

[0041] This also includes:

[0042] The first user who performed the reservation operation on the test version of the product object will be recorded;

[0043] After the product object is officially released, obtain the identifier of the officially released product object and the address information of the target page, and establish an association between the officially released product object and the test version product object;

[0044] Upon receiving the recall request submitted by the second user for the officially released product object, the system determines the first user who performed the reservation operation for the test version product object based on the association relationship, and sends a notification message to the first user.

[0045] The analysis types include: analyzing user interest in multiple characteristic descriptions of product objects;

[0046] The analysis requirements information also includes multiple descriptions of the characteristics to be analyzed corresponding to the product object;

[0047] The step of creating an analysis project for the test version product object based on the analysis type information, and creating a target interface for the analysis project, includes:

[0048] Create a feature description text analysis project for the test version product object and create a corresponding target interface. The target interface includes the basic information of the test version product object and multiple feature description text options.

[0049] This also includes:

[0050] By selecting a target number of elements from the multiple characteristic description texts and combining or arranging them, multiple text groups are obtained;

[0051] Based on the multiple document groups, create multiple analysis tasks for the analysis project;

[0052] When displaying the feature description copy to the target interface to the first user, the basic information of the target product object and the feature description copy corresponding to one of the analysis tasks are displayed on the target interface so that the first user can make a selection after comparing the feature description copies in the same copy group.

[0053] A product object analysis method, comprising:

[0054] The live streaming backend system receives test version product object information and corresponding analysis project information provided by the analysis system. The analysis project is associated with a target interface, which is used to display the basic information of the test version product object and operation controls for performing target operations. The target operation is related to the type of the analysis project.

[0055] Based on the test version product object information, a corresponding set of candidate product objects is provided so that a target test version product object can be selected from the set of candidate product objects and added to the list of products to be live-streamed.

[0056] During the explanation of the target test version product object, operation controls are provided for pushing the target interface, so that the target interface corresponding to the analysis project can be displayed to the users watching the live broadcast through the operation controls, and the users watching the live broadcast can participate in the analysis project through the target interface.

[0057] This also includes:

[0058] An operation control is provided for annotating live stream segments, so as to use the specified live stream segments as material for the test version product object.

[0059] An apparatus for analyzing descriptive text describing the characteristics of a product, comprising:

[0060] The project creation unit is used to create an analysis project based on the received analysis requirement information and to create a target interface for the analysis project; the analysis requirement information includes basic information of the target product object and multiple characteristic descriptions to be analyzed.

[0061] The analysis task creation unit is used to select a target number of elements from the multiple feature description texts, combine or arrange them to obtain multiple text groups, and create multiple analysis tasks for the analysis project based on the multiple text groups;

[0062] The display unit is used to display the target interface to multiple first users multiple times. When displaying the target interface to the first users, the basic information of the target product object and one of the analysis tasks are displayed on the target interface so that the first users can make a selection after comparing the feature descriptions within the same copy group.

[0063] The analysis result providing unit is used to provide analysis results based on the first user selection corresponding to the multiple analysis tasks.

[0064] A commodity object analysis device, comprising:

[0065] An analysis requirement information receiving unit is used to receive analysis requirement information for analyzing product objects that have not yet been officially published in the product object information system. The analysis requirement information includes at least the basic information of the product object and the analysis type information.

[0066] A test version product object generation unit is used to generate a test version product object based on the basic information;

[0067] The analysis project creation unit is used to create an analysis project for the test version product object according to the analysis type information, and to create a target interface for the analysis project; the target interface is used to display the basic information of the test version product object and operation controls for performing target operations, the target operations being related to the type of the analysis project.

[0068] The information synchronization sending unit is used to synchronize the information of the test version product object and the analysis project to the live broadcast backend system of the second user associated with the target product object, so as to add the test version product object to the live broadcast list, and push the target interface to the users watching the live broadcast during the live broadcast explanation of the test version product object, so that the users watching the live broadcast can participate in the analysis project through the target interface.

[0069] A product object analysis device, applied to a live streaming backend system, includes:

[0070] The information receiving unit is used to receive test version product object information and corresponding analysis project information provided by the analysis system. The analysis project is associated with a target interface. The target interface is used to display the basic information of the test version product object and operation controls for performing target operations. The target operations are related to the type of the analysis project.

[0071] The candidate set providing unit is used to provide a corresponding candidate product object set based on the test version product object information, so as to select the target test version product object from the candidate product object set and add it to the list of products to be live-streamed;

[0072] The push operation control providing unit is used to provide operation controls for pushing the target interface during the explanation of the target test version product object, so that the target interface corresponding to the analysis project can be displayed to the users watching the live broadcast through the operation controls, and the users watching the live broadcast can participate in the analysis project through the target interface.

[0073] A computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the steps of any of the preceding methods.

[0074] An electronic device, comprising:

[0075] One or more processors; and

[0076] A memory associated with the one or more processors, the memory being used to store program instructions that, when read and executed by the one or more processors, perform the steps of any of the preceding methods.

[0077] According to the specific embodiments provided in this application, the following technical effects are disclosed:

[0078] This application provides an analysis system for second users (merchants, brand owners, sellers, etc.). These second users can create analysis projects for product objects using this system to analyze multiple descriptive texts of the product objects. Furthermore, the same analysis project can be broken down into multiple analysis tasks, each task focusing on comparing only certain descriptive texts. This facilitates selection by the first user, reduces their participation cost, and makes sample collection easier. Thus, through a descriptive text "PK" approach, accurate analysis results can be obtained with a smaller sample size and in a shorter time, meeting the second user's need for rapid analysis.

[0079] Furthermore, the analysis system can provide a second user with the ability to quickly generate test versions of product objects and create analysis projects. The generated test versions of product objects and analysis project information can be synchronized to the live streaming system, allowing the host to explain these test versions of product objects live. During the explanation, the system can push related target interfaces to the first user, thus revealing the target interface to the first user. In this way, on the one hand, test versions of product objects can be generated quickly; on the other hand, leveraging the large number of real-time online users and concentrated timeframes in the live streaming system, the target interface can be quickly and efficiently revealed to the first user. Combined with the host's explanation, this helps the first user make more accurate decisions during the analysis process, providing the second user with faster and more accurate analysis results to guide the execution of their production or marketing plans.

[0080] Of course, any product implementing this application does not necessarily need to achieve all of the advantages described above at the same time. Attached Figure Description

[0081] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0082] Figure 1 This is a schematic diagram of the system architecture provided in the embodiments of this application;

[0083] Figure 2 This is a flowchart of the first method provided in the embodiments of this application;

[0084] Figures 3-1 to 3-4 This is a schematic diagram of the interface for creating a selling point analysis project provided in an embodiment of this application;

[0085] Figure 4-1 , 4-2 This is a schematic diagram of the target interface created for the selling point analysis project provided in the embodiments of this application;

[0086] Figure 5-1 This is a schematic diagram illustrating the deployment of the target interface provided in this application embodiment on a public domain page;

[0087] Figure 5-2 This is a schematic diagram of the interface for synchronously analyzing project information in a private domain page building system provided in this application embodiment;

[0088] Figure 6 This is a schematic diagram of the analysis results interface provided by the selling point analysis project in the embodiments of this application;

[0089] Figure 7 This is a flowchart of the second method provided in the embodiments of this application;

[0090] Figure 8 This is a schematic diagram of the interface for creating a reservation project provided in an embodiment of this application;

[0091] Figure 9 This is a schematic diagram of the reservation interface provided in an embodiment of this application;

[0092] Figure 10-1 , 10-2 This is a schematic diagram of the live streaming backend interface provided in an embodiment of this application;

[0093] Figure 11 This is a schematic diagram illustrating the display of the reservation interface during a live broadcast, as provided in an embodiment of this application.

[0094] Figure 12 This is a schematic diagram of the recall settings interface provided in an embodiment of this application;

[0095] Figure 13 This is a schematic diagram of the user interface during the recall process provided in the embodiments of this application;

[0096] Figure 14 This is a flowchart of the third method provided in the embodiments of this application;

[0097] Figure 15 This is a schematic diagram of the first device provided in the embodiments of this application;

[0098] Figure 16 This is a schematic diagram of the second device provided in the embodiments of this application;

[0099] Figure 17 This is a schematic diagram of the third device provided in the embodiments of this application;

[0100] Figure 18 This is a schematic diagram of the electronic device provided in the embodiments of this application. Detailed Implementation

[0101] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0102] In this embodiment, a system can be provided for merchant users (also known as seller users, which can be collectively referred to as second users in this embodiment; correspondingly, consumer users or buyer users can be referred to as first users) to create analysis projects for product objects, etc. (To distinguish it from other systems, this system is called an analysis system; of course, in practical applications, this analysis system may also have other functions, wherein the analysis described in this embodiment may specifically include testing, etc.) In this system, corresponding analysis projects can be created according to specific analysis needs. Furthermore, analysis projects can be created not only for product objects that have been officially published in the product object information system, but also for product objects that have not yet been officially published. For the latter, a test version of the product object can be quickly generated while creating the analysis project (for example, only the second user needs to provide images / videos and titles to quickly generate the test version of the product object, etc.), and then an analysis project can be created for this test version of the product object.

[0103] Specific analysis items can include those analyzing the descriptive text (i.e., the so-called "selling points") of a product. A second user can submit specific descriptive text to be analyzed, and the analysis system can generate the corresponding analysis item and a target interface (e.g., a "test interface"). This target interface can display multiple descriptive texts and controls for selecting specific descriptive texts. The target interface can then be shown to multiple users through various means, allowing the system to obtain user-provided analysis results based on the selections made within the target interface.

[0104] In scenarios involving the analysis of feature descriptions, the number of feature descriptions for the same product object that need to be analyzed can be quite large. If all of them are displayed on the target interface for the first user to choose one or more that interest them, it may be difficult for the first user to make a selection, thus affecting the final analysis results. Therefore, in this embodiment, an analysis project is split into multiple analysis tasks. Each analysis task can display only a certain number (e.g., two) of feature descriptions. This allows the first user to choose from only a few feature descriptions, thereby reducing the user's operational cost while ensuring the effectiveness of the analysis results. In addition, the algorithm can be used to balance the number of times each analysis task is displayed, and even the position of different feature descriptions on the target interface within the same analysis task can be balanced to improve the effectiveness of the analysis results.

[0105] There are various channels for revealing the target interface, including revealing it on public domain pages provided by the analysis system, revealing it on a second user's private domain page (e.g., a store's homepage), or revealing it to the first user through sharing links on social networking systems or short video systems, etc. Furthermore, this application embodiment also proposes revealing it during live streaming. Additionally, unreleased test versions of products can be added to the list of products to be streamed during the live stream. While explaining these test versions, the target interface can be revealed, allowing viewers to participate in the analysis by interacting with the controls on the target interface. This leverages the advantages of live streaming to achieve rapid research and analysis of product objects.

[0106] Furthermore, the method of revealing the target interface during the live stream can also be applied to other analytical scenarios. For example, in industries such as apparel, during the design and sample development phases of new products, it's essential to quickly analyze consumer demand to decide whether to produce and launch the product, or the scale of production, etc. Therefore, the analysis system provided in this application embodiment can also be used to quickly generate a test version of the product object, generate corresponding reservation analysis items, and synchronize them to the live stream backend system. This allows the target interface to be pushed to the first user during the explanation of the test version of the product object, enabling the first user to make a reservation based on their needs. Moreover, after the specific product object is officially released, the analysis system can be used to recall the first user who made a reservation.

[0107] In summary, from a system architecture perspective, see Figure 1 This application embodiment first provides an analysis system for a second user. The second user can create specific analysis projects through this system. If the analysis involves products that have not yet been officially released, a test version of the product can be quickly generated using the system. After creating the analysis project, a target interface can be generated to be displayed to the first user through various channels, allowing the first user to participate in the analysis. These channels can include the aforementioned public domain pages, the second user's private domain pages, social networks, live streaming systems, etc. To facilitate display through the second user's store homepage or other private domain pages, the analysis system can also synchronize the created analysis project to a specific private domain page building system. This allows the user to incorporate the target interface as a module of their private domain page during the page building process, thus enabling its display to the first user.

[0108] The specific technical solutions provided in the embodiments of this application will be described in detail below.

[0109] Example 1

[0110] This first embodiment, from the perspective of the analysis system, provides a method for analyzing descriptive text about the characteristics of a product, specifically for scenarios involving the analysis of such text. (See [link to previous document]). Figure 2 The method may include:

[0111] S201: Create an analysis project based on the received analysis requirement information, and create a target interface for the analysis project; the analysis requirement information includes basic information of the target product object, as well as multiple characteristic descriptions to be analyzed.

[0112] In practical implementation, the analysis system can provide an interface for creating analysis projects. There can be various analysis types; for example, in this first embodiment, the specific analysis type could be the analysis of descriptive text about the characteristics of a product, which can be simply referred to as "product selling point analysis." The user can select this analysis type in the analysis system and then input specific analysis requirements in the interface. For example... Figure 3-1 As shown in the figure, this is a specific example of the system's interface. If a second user needs to perform a selling point analysis on a certain product object, they can perform operations such as clicking at position 31. Afterwards, an operation interface for creating analysis projects can be displayed on the right.

[0113] Specifically, when creating an analysis project, you can submit specific analysis requirements. For example, you can... Figure 3-1 The interface shown provides controllable input for analysis requirements. The second user can input specific analysis requirements through these controllable inputs. These requirements can include basic information about the product, such as representative images (images, short videos, GIFs, etc.) and titles. Additionally, the analysis requirements can include descriptive text describing multiple features to be analyzed.

[0114] Specifically, the product object can be a product object that has already been published in the associated product object information system, or it can be a product object that has not yet been officially published in the associated product object information system. Therefore, the interface used to create analysis projects can also include operation controls for selecting the type of product to be analyzed, for example, such as... Figure 3-1 As shown, if the product to be analyzed has been published, you can select "List Product"; if the product to be analyzed has not been published, you can select "Custom Product", and so on.

[0115] Specifically, for the former, that is, after the second user selects "Listed Products" as the product type, a "Select Product" control can be provided. After operating through this control, the analysis system can display a list of published product objects associated with the second user in the product object information system. For example, ... Figure 3-2 As shown, the second user can select the product objects to be analyzed from the list, and so on. After selecting a product object, as shown... Figure 3-3 As shown, users can also select a representative image for the product (specifically, a representative image can be selected from the details information of already published product objects, etc.). Additionally, they can input specific selling points to be analyzed. The specific feature descriptions can be customized by the second user. Alternatively, the analysis system can provide a copybook, allowing it to provide recommended feature descriptions based on information such as the product category. The second user can then select from this list or edit the recommended descriptions, etc.

[0116] For the latter, since the specific product object to be analyzed has not yet been published in the product object information system, and there is no information corresponding to the product object to be analyzed in the product object information system, in order to analyze such product objects, this application embodiment can also provide a function to quickly generate a test version of the product object. At this time, such as... Figure 3-4 As shown, the second user can select "Custom Product" as the product type. Furthermore, the interface provides controls for inputting the specific product name and representative image. The second user can receive basic information such as the name and representative image through these controls. A test version of the product object can be created based on this basic information, allowing the analysis project to be associated with this test version. Additionally, the interface provides controls for the user to input descriptive text. However, since the product object has not yet been published, its category information within the product object information system is unknown; therefore, it's difficult to recommend descriptive text. The second user can input their own custom descriptive text.

[0117] It should be noted that, in this embodiment of the application, the basic information required to create a test version of the product object can be relatively simple. For example, only the second user needs to provide a representative image and title of the product object to quickly generate the test version of the product object, instead of providing a large amount of product object information (e.g., including price, size, inventory, etc.) as in the formal release of a product object in the product object information system.

[0118] After determining the product object information to be analyzed and the corresponding multiple feature descriptions to be analyzed, a corresponding analysis project can be created for the product object to be analyzed. In addition, a corresponding target interface can be created to display the basic information of the specific product object and multiple feature descriptions, and to provide operation controls for selecting feature descriptions so that a second user participating in the analysis can perform selection operations through the target interface.

[0119] In practice, the target interface can be created according to a pre-defined template. Additionally, the analysis system can provide two versions of the target interface template for the second user: a basic version and an advanced version. The basic version requires only basic information about the product and several descriptive phrases for the features to be analyzed; the target interface will then only display this basic information and a few selectable descriptive phrases. The advanced version, in addition to the above information, allows the second user to provide corresponding descriptive images for each feature description. These images, displayed on the target interface, help the first user understand the descriptions and make more accurate decisions.

[0120] Specifically, second users can choose between the basic or advanced version based on their actual R&D situation or needs. For example, if a second user has only designed multiple feature descriptions for a product and hasn't yet had time to design corresponding images for each feature description, or wants to wait until the analysis is complete and the actual feature descriptions to be used are determined before designing targeted feature description images, then they can directly choose the basic version for analysis. However, if some second users have strong R&D capabilities and have designed feature description images for each feature description along with multiple descriptions, they can choose to use the advanced version's template for analysis, and so on.

[0121] S202: By selecting a target number of elements from the multiple feature description texts and combining or arranging them, multiple text groups are obtained, and multiple analysis tasks are created for the analysis project based on the multiple text groups.

[0122] After creating a specific analysis project and its corresponding target interface, multiple descriptive texts of the features to be analyzed can be displayed on the target interface. This allows the first user participating in the analysis to select a specific descriptive text, thus obtaining the analysis results showing which descriptive text the first user is more interested in. However, in practical applications, the number of descriptive texts for the same product object to be analyzed may be numerous. For example, descriptive texts could be generated based on the inherent characteristics of the product object, or they could be generated through the imagination and creativity of marketing planners, and so on. Because the sources for generating descriptive texts are diverse, there may be a dozen or even dozens of descriptive texts for the same product object to be analyzed.

[0123] When there are a large number of descriptive texts that need to be analyzed, if these descriptive texts are displayed simultaneously on the target interface for the first user to choose from, the user's operational cost will be relatively high. Moreover, choosing from a large number of texts may lead to difficulty in making a selection, or the selection result may be affected by too much information, resulting in inaccurate results.

[0124] Therefore, in this embodiment, after creating a specific analysis project and target interface, before deploying the target interface, multiple text groups can be obtained by selecting a target number of elements from the multiple feature description texts and combining or arranging them. Multiple analysis tasks can then be created for the analysis project based on these text groups. For example, the target number can be two, meaning multiple text groups can be generated by combining multiple feature description texts in pairs. For instance, the multiple feature description texts include A, B, C, D, etc. Feature description text A can be combined with B, C, and D to form different text groups, and feature description text B can also be combined with A, C, D, etc., to form different text groups, and so on. This allows for pairwise "PK" between different feature description texts. Finally, the popularity of a specific feature description text among the first user can be determined based on the number of times or the proportion of wins in multiple "PK" processes. In this way, the required sample size is much smaller than that required for A / B testing, thus solving the problem of slow sample retrieval. In other words, high data accuracy can be obtained by comparing selling points with a small sample size.

[0125] Alternatively, the text can be arranged in pairs to generate more text groups. The arrangement information of the specific feature descriptions within the same text group can also be used to determine the display position of the specific feature descriptions on the target interface. For example, in the process of forming a text group from feature descriptions A and B, different arrangement information can result in two different text groups. In the two text groups, the display positions of feature descriptions A and B on the target interface can be different; for example, in one group, A is on the left and B is on the right, and in the other, A is on the right and B is on the left, and so on.

[0126] S203: The target interface is displayed to multiple first users multiple times. Each time the target interface is displayed to a first user, the basic information of the target product object and one of the analysis tasks are displayed on the target interface so that the first user can make a selection after comparing the feature descriptions within the same copywriting group.

[0127] After creating the specific target interface, it can be exposed to multiple first-users, allowing them to participate in the analysis process. Since the analysis project is divided into multiple different analysis tasks, the information displayed on the target interface can be dynamically changed. That is, each time a first-user is shown the interface, the basic information of the target product and one of the analysis tasks can be displayed. This allows the first-user to compare the feature descriptions within the same copywriting group and select the descriptions that interest them. Specifically, a backend control module can be provided to track the number of times each analysis task is displayed on the target interface and the number of times first-users participate. For example, each time an analysis task is displayed, or each time a first-user completes the analysis for that task, the remaining exposure count for that task can be decremented by one until it reaches zero or falls below a certain threshold, at which point the display of that analysis task can be stopped, and so on, to achieve average exposure across different analysis tasks.

[0128] The specific target interface can take various forms; for example, in one approach, it can be implemented as a product object card. For instance... Figure 4-1As shown, the product object card includes a basic product object information display area 41 and an analysis task information display area 42. Specifically, the analysis task information display area can be used to display the characteristic descriptions within the same copywriting group and provide operation controls for performing selection operations. For example, as shown in Figure 4, two characteristic descriptions to be compared in a copywriting group are "Fresh fruit flavor, igniting the taste buds" and "Strong bubbles, relieving spiciness and greasiness." Operation controls for selecting between the two selling points can be provided in the analysis task information display area 42, or, in specific implementations, operation controls such as "Don't like either" can also be provided, and so on. This target interface, existing in the form of product cards, can not only be displayed independently but also as a module in other pages and displayed on other pages.

[0129] It should be noted that in practical implementation, since the same analysis project is broken down into multiple different analysis tasks, to ensure the accuracy of the analysis results, the display frequency of multiple analysis tasks can be statistically analyzed and controlled to achieve average exposure for these tasks. Therefore, in practical implementation, when multiple specific analysis tasks are created, specific expected display frequency information can be configured for each task, such as displaying each task 1000 times, etc. Furthermore, by arranging the feature description text during task creation as described above, different arrangements of the same feature description text can correspond to different analysis tasks. The specific arrangement can determine the display position of the specific feature description text on the target interface. Combined with the average exposure control of different analysis tasks, the display positions of different feature description texts within the same text group on the target interface can also be evenly exposed. For example, for two selling points, A and B, selling point A can be displayed 500 times on the left and 500 times on the right, etc., thereby further improving the accuracy of the analysis results.

[0130] Furthermore, in the aforementioned advanced scenario, since the specific analysis requirements also include feature description images corresponding to the multiple feature description texts, the target interface can also include a carousel container for rotating the product object's basic information card and multiple feature information cards. The product object's basic information card includes a product object basic information display area and an analysis task information display area. The multiple feature information cards correspond to the feature description texts in the same text group, and are used to display the feature description images and analysis task information respectively.

[0131] In other words, the overall logic is similar to the basic version. The main difference is that in the advanced version's target interface, multiple selling point images can be added after the main image (the product's basic information card). (For example, if each copy group has two selling points, there can be two corresponding selling point images.) The main image and the various selling point images can be displayed in a carousel to assist users in making decisions. For example, in a specific example, such as... Figure 4-2 As shown, the target interface can slide three images: a basic product information image, a selling point 1 image, and a selling point 2 image. Each image can include an area displaying analysis task information; the displayed analysis tasks can all be the same, i.e., controls for selecting selling points within the same copywriting group. Besides the slideshow container rotating the images, the images can also be switched based on user actions such as left or right swipes.

[0132] It's important to note that even in this advanced version, the exposure order of multiple selling point images within the same copywriting group can be maintained evenly. For example, when testing two selling points, A and B, image A is placed first in the analysis for 500 times, and then second in the analysis for the same number of times. In practice, to facilitate the generation of analysis tasks, the order of the selling point images can correspond to the position of the specific selling point copywriting within the task display area. Thus, by using the same method as in the basic version for controlling the average exposure of different selling point copywriting within the task display area, the aforementioned goal of evenly exposing multiple selling point images can be achieved.

[0133] In practice, there are various channels for repeatedly displaying the target interface to multiple first users. For example, one approach is to display the target interface on a dedicated analysis channel page. This analysis channel page can be used to display the target interfaces corresponding to multiple analysis projects in a tiled manner. The analysis channel page could be a dedicated survey meeting page, etc., where all analysis projects created within the analysis system can be aggregated and displayed; therefore, this page is also called a public domain page. In this way, specific first users can participate in specific analysis projects while visiting the analysis channel page. However, since the analysis channel page is specifically for analysis, ordinary consumer users may not actively visit it. Therefore, the analysis system can invite specific first users to participate in the analysis, etc. Furthermore, to facilitate selection by the first user, the target interfaces corresponding to multiple analysis projects (e.g., the aforementioned product object card interface, etc.) can be tiled in the information flow of the analysis channel page, for example, as... Figure 5-1 As shown, this allows the first user to select multiple analysis items directly within the information flow.

[0134] Alternatively, a second user can display the specific target interface on their private domain page. For example, this private domain page could include the store's homepage; that is, the target interface could be displayed on the store's homepage (since the target interface can exist as a product object card, it only needs to occupy a portion of the store's homepage). In this way, the first user can view the content of the target interface while visiting the store's homepage and participate in the analysis.

[0135] In specific implementation, to facilitate the second user's deployment of specific target interfaces on their private domain page, the analysis system can be integrated with the private domain page building system. The private domain page building system provides modular page building functionality for the second user. Through this system, the second user can select specific page modules to quickly complete page construction, including building the store's homepage. Therefore, in specific implementation, the analysis system can also synchronize the information of the analyzed projects to the private domain page building system associated with the second user. This allows the target interface to be deployed as a module on the second user's private domain page during the construction or updating process. For example, as... Figure 5-2 As shown, during the "store decoration" process, the second user can choose modules such as carousel posters and also modules related to selling point analysis. If the second user has created multiple selling point analysis projects, they can also select which specific selling point analysis project(s) should be displayed on the store page. This way, when the first user accesses the private domain page, the target interface can be displayed to them. Correspondingly, the first user can select selling point texts of interest through this target interface.

[0136] Additionally, a link to the target interface can be provided to a second user associated with the target product. This allows the second user to share the target interface with the first user. For example, the sharing channel could include social networking systems, face-to-face QR code scanning, short video systems, and so on.

[0137] Furthermore, in this embodiment, a channel can be provided for the second user to view the target interface through a live streaming system. In other words, as the host explains the product during the live stream, the first user can obtain more intuitive and detailed information about the specific product, thus making a more accurate decision. Simultaneously, the live stream offers the advantage of multiple first users being online simultaneously, thereby enabling more effective collection of analytical samples in a short time. Based on the above considerations, viewing the target interface through a live streamer has significant advantages.

[0138] To facilitate the broadcaster in revealing the specific target interface to users during the live stream, in this embodiment of the application, after the specific analysis system creates the analysis project, it can also synchronize the information of the analysis project to the live stream backend system of the second user associated with the target product object, so that the target interface can be pushed to the first user for display during the live stream explanation of the target product object.

[0139] In practice, if the product object corresponding to a specific analysis project is a product object already published in the product object information system, the analysis project can be directly associated with the corresponding published product object in the live streaming system. Then, when the host adds the product object to the live streaming list and explains it, a control can be provided in the live streaming backend interface to push the target interface corresponding to that product object. After pushing through this control, the target interface can be displayed in the live streaming interface as a floating layer, pop-up, or similar format. Consequently, the first user watching the live stream can participate in the analysis through this target interface.

[0140] If the specific product object corresponding to the analysis project is one that has not yet been officially released in the product object information system, the analysis system can not only synchronize the analysis project information to the live streaming system, but also synchronize the quickly generated test version product object to the live streaming system. In this way, the live streaming system can provide a corresponding set of candidate product objects based on the test version product object information, and select the target test version product object from the set of candidate product objects to add to the list of products to be live streamed. That is to say, in this way, the host can not only add officially released product objects to the live streaming list, but also add unreleased product objects to the live streaming list, so that the host can explain the unreleased product objects during the live stream and guide the first user to participate in the specific selling point analysis, and so on.

[0141] It should be noted that regardless of the specific method used to reveal the target interface, the analysis system backend can statistically analyze the reveal status of each analysis task and control the number of displays to achieve average exposure for various selling point copy.

[0142] S204: Provide analysis results based on the first user selections corresponding to the multiple analysis tasks.

[0143] After the target interface is presented to multiple first users through various means, sample collection can be performed. That is, the selections of each first user during each presentation process can be collected, and specific analysis results can be provided based on these selections. Specifically, in this embodiment, only one analysis task is presented to one user at a time, and each analysis task includes only two or a few feature descriptions. Therefore, the first user's selection result represents the "PK" result of two feature descriptions. Thus, the winning outcome of each feature description can be obtained based on the first user selections corresponding to the multiple analysis tasks, and analysis results can be provided based on the winning outcome. The analysis results can be provided to second users in the form of an analysis report. For example, in one approach, the specific analysis report can be as follows: Figure 6 As shown, the system can display the number of people who have completed the analysis, as well as the exposure count of each feature description, the number of wins in each "PK" (competition), and the score calculated by a certain algorithm, etc. In this way, the second user can use this information to determine the popularity of each feature description among the first user group, thus helping them to determine the final marketing strategy.

[0144] In summary, this application provides an analysis system for second users (merchants, brand owners, sellers, etc.). These second users can create analysis projects for product objects using this system to analyze multiple descriptive texts of the product objects. Furthermore, the same analysis project can be broken down into multiple analysis tasks, each task focusing on comparing only certain descriptive texts. This facilitates selection by the first user, reduces their participation cost, and makes sample collection easier. Thus, through a descriptive text "PK" approach, accurate analysis results can be obtained with a smaller sample size and in a shorter time, meeting the second user's need for rapid analysis.

[0145] Example 2

[0146] The aforementioned Example 1 mentioned using a live streaming system as a distribution channel for the target interface. However, in practical applications, using a live streaming system as a distribution channel for the target interface can have other uses. For example, as mentioned earlier, industries such as apparel need to quickly analyze consumer demand during the design and sample development phases of new products to decide whether to produce and launch them, or the scale of production. In this case, the analysis should not focus on which selling points are more suitable, but rather on analyzing consumer preferences for a particular sample or design. In this situation, a specific target interface can also be pushed to the first user through a live streaming system. Of course, in this case, the specific product may not yet be officially published in the product information system because it is in the design or sample phase. Therefore, the aforementioned solution for quickly generating test versions of product objects can be combined to meet the needs of the second user for rapid analysis of unreleased product objects.

[0147] For details, see Figure 7 This second embodiment also provides a product object analysis method from the perspective of the analysis system. This method may include:

[0148] S701: Receive analysis request information for analyzing product objects that have not yet been officially published in the product object information system. The analysis request information includes at least the basic information of the product object and the analysis type information.

[0149] In this second embodiment, a solution is primarily provided for the analysis needs of products that have not yet been officially released. Specifically, an analysis system similar to that in the first embodiment can be used to provide a platform for second users to create analysis projects. Second users can submit analysis requirements through the relevant interface of this analysis system. Specifically, the analysis requirements information may include basic information about the product to be analyzed and analysis type information. That is, since second users may have various analysis needs, and the specific solution of pushing target interfaces through a live streaming system can support multiple analysis types, the analysis system can also provide multiple selectable analysis types for second users to choose from based on their needs. For example, specific analysis types may include the aforementioned analysis of selling point copywriting, or analyzing consumer preferences for one or more samples or design schemes, etc. For example, regarding the former, it can be as follows... Figures 3-1 to 3-4 As shown.

[0150] Regarding the latter, a specific analysis method could involve displaying representative images and titles of samples and design schemes, and providing a reservation control for the first user. This first user could express their liking for a specific sample or design scheme by clicking the reservation control, and these users have a high probability of purchasing it after the product is officially launched. Therefore, this method of reservation by the first user can be used to analyze user preferences for samples and design schemes. This analysis can be called: reservation analysis of user purchase intentions for test version products, or simply "reservation analysis" for ease of description. Specifically, the analysis system can provide an interface for creating this type of analysis project, which can also introduce the specific rules. Additionally, controls such as "create reservation task" can be provided, allowing second users to initiate the creation of reservation analysis projects.

[0151] After initiating the creation of a scheduled analysis project, you can access an interface for inputting your analysis requirements. For example, in one approach, you can... Figure 8 As shown, this can include input controls for inputting basic information such as task title and main image. It should be noted that regarding the basic information of the product object, since this embodiment mainly involves unreleased product objects, the specific basic information can be input by the second user (and cannot be retrieved from the product object information system's database). However, this embodiment provides a simplified method for generating product objects for the second user. That is, in a typical product object release process, the second user might need to provide a great deal of information about the product object, including product image, title, price, inventory, size, etc. However, since the product object generated in this embodiment is only used to provide a reference to the first user during the analysis process and does not require specific inventory information, a solution for quickly generating a test version of the product object can be provided. Specifically, the second user only needs to provide a representative image of the product and simple information such as the title to quickly generate a test version of the product object. Therefore, when inputting specific analysis requirements, the basic information section for the product object can only provide input controls for a few key pieces of information such as the title and main image, which the second user can then input according to the interface prompts.

[0152] It's important to note that the basic information about the product can include optional fields such as price and official launch date. These can be left blank or filled in by the second user based on their specific needs. The price and official launch date information can help the first user make a reservation decision. Furthermore, if an official launch date is set, it can also help the second user recall the first user who participated in the reservation (this will be discussed in detail later). Additionally, the specific analysis project creation interface can include controls for entering the specific product ID (i.e., the product ID after official launch) and the addresses of the product details page, activity page, etc., after launch. If the second user needs to recall the first user after the product is officially launched, they can return to this interface, enter the product ID and page address information, and then initiate a recall request. This allows the first user to be redirected to the actual launched product details page and activity page during the recall process.

[0153] S702: Generate a test version of the product object based on the basic information.

[0154] Upon receiving specific analysis requirements, since the specific product object has not yet been officially released, a test version of the product object can first be generated based on the received basic information about the product object. This test version can be used to associate with specific analysis projects to better differentiate between them. Furthermore, it can be published as a live stream object, allowing the host to add this unreleased product object to the live stream list and explain it, etc.

[0155] S703: Create an analysis project for the test version product object based on the analysis type information, and create a target interface for the analysis project; the target interface is used to display the basic information of the test version product object and operation controls for performing target operations, the target operations being related to the type of the analysis project.

[0156] In addition to creating test version product objects, analysis projects can be created for the test version product objects based on specific analysis type information, and target interfaces can be created for the analysis projects. Specifically, for the selling point copywriting analysis type, the specific analysis projects and target interfaces can be as described in Example 1. For the appointment analysis type, the target interface can directly display the basic information of the specific product object (including representative images, titles, etc.), as well as operation controls for performing appointment operations, for example, such as... Figure 9The "Book Now and Set a Reminder" option is shown, and so on. Additionally, if the second user sets information such as price and official launch date in the demand analysis, this information can also be displayed on this target interface. Furthermore, the first user can be provided with user benefits information on this booking target interface, such as eligibility to draw coupons or other user benefits after booking, etc.

[0157] S704: Synchronize the information of the test version product object and the analysis project to the live broadcast backend system of the second user associated with the target product object, so as to add the test version product object to the live broadcast list, and push the target interface to the user watching the live broadcast during the live broadcast explanation of the test version product object, so that the user watching the live broadcast can participate in the analysis project through the target interface.

[0158] After creating the test version of the product object and the analysis project, it can be synchronized to the live streaming backend system of the second user associated with the target product object. Through this synchronization, the live streaming backend system can provide a corresponding set of candidate product objects based on the test version product object information, allowing the streamer to select the target test version product object from this set and add it to the list of products to be streamed. In other words, the specific streamer list can include not only published product objects but also test version product objects quickly generated according to the method provided in this application's embodiments. For example, see... Figure 10-1 This is an example of a live streaming backend system providing an interface for selecting products to be streamed. The left column corresponds to multiple candidate product sets, such as new products from the store, recent sessions, etc., primarily used to categorize or tag published products to help the streamer make selections. In this embodiment, as shown at point 101, a "Reserve Product" option can also be provided to the streamer. This option corresponds to a set of test-version product objects quickly generated by the analysis system (here, "Reserve Product" can be the name of this test-version product object set; of course, for other types of analysis, it can also be expressed using other set names). Clicking this option displays the various test-version product objects generated by the current second user, from which the streamer can select target test-version product objects to add to the list to be streamed, and so on.

[0159] After adding a specific target test version product to the live stream list, the target test version product can be displayed in the live stream backend interface, and an option to push the target interface to the first user can be provided. For example, Figure 10-2As shown, the host adds the "Reservation Item" shown in 103 to the host list. During the live broadcast explaining this "Reservation Item," viewers can click on controls such as the "Immediate Pop-up" shown in 104 of the backend operation interface to push a notification to the target interface associated with the "Reservation Item." After the host pushes the notification, viewers can see... Figure 11 As shown at point 111 in (A), a link to the specific target interface can be displayed on the live stream interface. The first user can enter the target interface by clicking on options such as "Go to Reservation". Figure 9 The shown target page for reservations (of course, it could also be other types of target pages such as selling point analysis). Additionally, the first user can also view links to multiple target pages that have already been pushed by clicking on the "Product List" in the live stream interface. For example, it can be like this... Figure 11 As shown at position 112 in (B).

[0160] Additionally, the live stream backend management interface can provide controls for marking live stream segments, such as... Figure 10-2 As shown at point 105 in the diagram. Thus, when the host is explaining the test version of the product, if they need to annotate a segment of the live stream, they can return to the live stream's backend management interface and click the "Mark Explanation" control. The live stream system will then mark the current moment as the start time of the segment. After completing the explanation of the test version of the product, they can return to the same interface and click controls such as "End Mark" to trigger the live stream system to mark the end time, and so on. In this way, the marked explanation segments can be used as explanation material and displayed on pages such as the product details page after the associated product is officially launched and released, and so on.

[0161] Furthermore, regarding the aforementioned reservation analysis, a function can be provided for the second user to recall the first user who participated in the reservation. That is, after the corresponding product object is published to the product object information system, a notification message can be sent to the first user who previously participated in the reservation. To achieve this, the first user who performed a reservation operation on a test version product object can also be recorded. In other words, after the reservation target interface is revealed through channels such as a live streaming system, if the first user makes a reservation for a test version product object, the correspondence between that test version product object and this first user can be recorded. Thus, after the corresponding product object is officially released, the second user can return to the analysis project management interface in the analysis system and enter information such as the ID of the officially released product object and the link address of the target page (for example, specifically through...). Figure 8(Entry is performed on the interface shown). For the analysis system, the identifier of the officially released product object and the address information of the target page can be obtained. Then, an association can be established between the officially released product object and the test version product object. After receiving the recall request submitted by the second user for the officially released product object, the system determines the first user who performed the reservation operation on the test version product object based on the association and sends a notification message to the first user.

[0162] For example, the interface provided in the specific analysis system for submitting recall requests can be like this: Figure 12 As shown, the second user can select a specific recall channel on this interface. After setting the specific recall channel, they can submit a specific recall request by clicking on the "Publish" button or other operation controls. For example, recall can be carried out by sending a message to the first user through the intelligent customer service system within the product object information system. At this time, the first user will receive a notification message pushed by the intelligent customer service system corresponding to the specific second user in the associated product object information system, for example, such as... Figure 13 As shown at point 131 in (A), this can display a notification that the reserved item is now available. Users can click on controls such as "Place Order" to proceed with their order. Figure 8 The interface shown allows users to input information such as the ID of the listed product and the target page link to navigate to the next page. For example, if a user previously reserved a product... Figure 9 The test version of the product shown will redirect the user to [location] after they click "Place Order" in the notification message. Figure 13 The interface shown in (B), etc.

[0163] The above mainly describes the scenario of appointment analysis. As mentioned earlier, the scenario of analyzing the description of product features described in Example 1 can also be implemented through the live streaming system to reveal the target interface. That is, the specific analysis type can also include: analyzing user interest in multiple descriptions of product features; in this case, the specific analysis requirements can also include multiple descriptions of features to be analyzed corresponding to the product. Specifically, a description analysis project can be created for the test version product, and a corresponding target interface for the description features can be created.

[0164] Additionally, as described in Embodiment 1, multiple text groups can be obtained by selecting a target number of elements from the multiple feature description texts and combining or arranging them. Then, based on the multiple text groups, multiple analysis tasks are created for the analysis project. In this way, when displaying the feature description text target interface to the first user, the basic information of the target product object and one of the analysis tasks can be displayed on the target interface, so that the first user can make a selection after comparing the feature description texts within the same text group.

[0165] In summary, through this second embodiment, the analysis system can provide a second user with the function of quickly generating test version product objects and creating analysis projects. Furthermore, the generated test version product objects and analysis project information can be synchronized to the live streaming system, allowing the host to explain these test version product objects live. During the explanation, the system can push the associated target interface to the first user, thereby revealing the target interface to the first user. In this way, on the one hand, test version product objects can be generated quickly; on the other hand, taking advantage of the large number of real-time online users and concentrated time in the live streaming system, the target interface can be quickly and efficiently revealed to the first user. Combined with the host's explanation, this helps the first user make more accurate decisions during the analysis process, thus providing the second user with faster and more accurate analysis results to guide the execution of the second user's production or marketing plans.

[0166] Example 3

[0167] This third embodiment, corresponding to the second embodiment, provides a method for analyzing product objects from the perspective of the live streaming backend system. (See [link to relevant documentation]). Figure 14 The method may include:

[0168] S1401: The live streaming backend system receives test version product object information and corresponding analysis project information provided by the analysis system. The analysis project is associated with a target interface. The target interface is used to display the basic information of the test version product object and operation controls for performing target operations. The target operation is related to the type of the analysis project.

[0169] S1402: Provide a corresponding set of candidate product objects based on the test version product object information, so as to select the target test version product object from the set of candidate product objects and add it to the list of products to be live-streamed;

[0170] S1403: During the explanation of the target test version product object, an operation control is provided for pushing the analysis project information, so that the target interface corresponding to the analysis project can be displayed to the user watching the live broadcast through the operation control, and the user watching the live broadcast can participate in the analysis project through the target interface.

[0171] In practice, operation controls for annotating live stream segments can also be provided to use specified live stream segments as material for the test version product object.

[0172] For the parts of Embodiments 2 and 3 that are not described in detail, please refer to Embodiment 1 or other parts of the specification; they will not be repeated here.

[0173] It should be noted that the embodiments of this application may involve the use of user data. In practical applications, user-specific personal data may be used in the scheme described herein within the scope permitted by applicable laws and regulations, provided that it complies with the applicable laws and regulations of the country (e.g., with the user's explicit consent, with the user being properly notified, etc.).

[0174] Corresponding to Embodiment 1, this application also provides an apparatus for analyzing descriptive text of product characteristics, see [link to embodiment]. Figure 15 The device may include:

[0175] The project creation unit 1501 is used to create an analysis project based on the received analysis requirement information and to create a target interface for the analysis project; the analysis requirement information includes basic information of the target product object and multiple characteristic descriptions to be analyzed.

[0176] The analysis task creation unit 1502 is used to select a target number of elements from the multiple feature description texts, combine or arrange them to obtain multiple text groups, and create multiple analysis tasks for the analysis project based on the multiple text groups;

[0177] The display unit 1503 is used to display the target interface to multiple first users multiple times. When displaying the target interface to the first users, the basic information of the target product object and one of the analysis tasks are displayed on the target interface so that the first users can make a selection after comparing the feature descriptions within the same copy group.

[0178] The analysis result providing unit 1504 is used to provide analysis results based on the first user selection corresponding to the multiple analysis tasks.

[0179] The target product objects include product objects that have not yet been officially published in the associated product object information system;

[0180] At this time, the device may further include:

[0181] The test version product object creation unit is used to create a test version product object based on the basic information, so as to associate the analysis project with the test version product object.

[0182] In practice, to better achieve the effect of "PK" between different copywritings, the target number can be 2.

[0183] If the copy group includes arrangement information between the feature descriptions, the arrangement information is used to determine the display order of the feature descriptions in the target interface.

[0184] Additionally, the device may also include:

[0185] The display control unit is used to statistically analyze and control the number of times the multiple analysis tasks are displayed, so as to achieve an average display of the multiple analysis tasks.

[0186] The target interface includes a product object card interface, wherein the product object card includes a product object basic information display area and an analysis task information display area. The analysis task information display area is used to display the characteristic description texts in the same copy group and provides operation controls for performing selection operations.

[0187] Specifically, the analysis requirement information may also include feature description images corresponding to the multiple feature description texts;

[0188] At this time, the target interface includes a carousel container for rotating the basic information card of the product object and multiple feature information cards. The basic information card of the product object includes a display area for the basic information of the product object and a display area for the analysis task information. The multiple feature information cards correspond to the feature description texts in the same text group and are used to display the feature description images and analysis task information respectively.

[0189] Specifically, the display unit can be used for:

[0190] The target interface is displayed on a dedicated analysis channel page, whereby the analysis channel page is used to display the target interfaces corresponding to multiple analysis projects in a tiled manner.

[0191] Alternatively, the display unit can be specifically used for:

[0192] The information of the analyzed project is synchronized to the private domain page building system of the second user associated with the product object, so that the target interface can be placed on the private domain page of the second user. During the process of the first user accessing the private domain page, the target interface is displayed to the first user.

[0193] Alternatively, the display unit can be specifically used for:

[0194] The link information of the target interface is provided to the second user associated with the target product object so that the target interface can be displayed to the first user by sharing the link information through a social network system, QR code scanning or short video system.

[0195] Alternatively, the display unit can be specifically used for:

[0196] The information of the analyzed project is synchronized to the live streaming backend system of the second user associated with the target product object, so that the target interface can be pushed to the first user for display during the live explanation of the target product object.

[0197] Specifically, the analysis result providing unit can be used for:

[0198] Based on the first user selections corresponding to the multiple analysis tasks, the winning outcome in the comparison process of each feature description copy is obtained, and analysis results are provided based on the winning outcome.

[0199] Corresponding to Embodiment 2, this application also provides a commodity object analysis device, see [link to embodiment]. Figure 16 The device may include:

[0200] The analysis requirement information receiving unit 1601 is used to receive analysis requirement information for analyzing commodity objects that have not yet been officially published in the commodity object information system. The analysis requirement information includes at least the basic information of the commodity object and the analysis type information.

[0201] The test version product object generation unit 1602 is used to generate a test version product object based on the basic information;

[0202] The analysis project creation unit 1603 is used to create an analysis project for the test version product object according to the analysis type information, and to create a target interface for the analysis project; the target interface is used to display the basic information of the test version product object and operation controls for performing target operations, the target operations being related to the type of the analysis project.

[0203] The information synchronization sending unit 1604 is used to synchronize the information of the test version product object and the analysis project to the live streaming backend system of the second user associated with the target product object, so as to add the test version product object to the live streaming list, and push the target interface to the users watching the live stream during the live streaming explanation of the test version product object, so that the users watching the live stream can participate in the analysis project through the target interface. The basic information of the product object includes: a representative image of the product object and title information.

[0204] Specifically, the analysis types include: analyzing users' purchase intentions for the test version of the product;

[0205] The analysis project creation unit can be specifically used for:

[0206] Create a reservation project for the test version product object and create a target interface for the reservation project. The target interface includes basic information of the test version product object and operation controls for making a reservation for the test version product object.

[0207] In a specific implementation, the device may further include:

[0208] The reservation status recording unit is used to record the first user who performed a reservation operation on the test version of the product object;

[0209] The association establishment unit is used to obtain the identifier of the officially released version of the product object and the address information of the target page after the product object is officially released, and to establish an association between the officially released version of the product object and the test version of the product object.

[0210] The user recall unit is used to receive a recall request submitted by a second user for the officially released product object, determine the first user who performed the reservation operation for the test version product object according to the association relationship, and send a notification message to the first user.

[0211] Alternatively, the analysis type may include: analyzing user interest in multiple characteristic descriptions of a product object;

[0212] The analysis requirements information also includes multiple descriptions of the characteristics to be analyzed corresponding to the product object;

[0213] The analysis project creation unit can be specifically used for:

[0214] Create a feature description text analysis project for the test version product object and create a corresponding target interface. The target interface includes the basic information of the test version product object and multiple feature description text options.

[0215] In a specific implementation, the device may further include:

[0216] The copywriting group generation unit is used to select a target number of elements from the multiple characteristic description copywritings and combine or arrange them to obtain multiple copywriting groups;

[0217] The task splitting unit is used to create multiple analysis tasks for the analysis project based on the multiple document groups;

[0218] The task delivery unit is used to deliver the basic information of the target product object and the characteristic description text corresponding to one of the analysis tasks to the target interface when displaying the characteristic description text to the first user, so that the first user can make a selection after comparing the characteristic description texts in the same text group.

[0219] Corresponding to Embodiment 3, this application also provides a product object analysis device, which is applied to a live streaming backend system. See [link to related documentation]. Figure 17 The device may include:

[0220] The information receiving unit 1701 is used to receive test version product object information and corresponding analysis project information provided by the analysis system. The analysis project is associated with a target interface. The target interface is used to display the basic information of the test version product object and operation controls for performing target operations. The target operation is related to the type of the analysis project.

[0221] The candidate set providing unit 1702 is used to provide a corresponding candidate product object set based on the test version product object information, so as to select the target test version product object from the candidate product object set and add it to the list of products to be live-streamed;

[0222] The push operation control providing unit 1703 is used to provide operation controls for pushing the target interface during the explanation of the target test version product object, so that the target interface corresponding to the analysis project can be displayed to the user watching the live broadcast through the operation controls, and the user watching the live broadcast can participate in the analysis project through the target interface.

[0223] In a specific implementation, the device may further include:

[0224] The annotation control providing unit provides operation controls for annotating live stream segments, so as to use the specified live stream segments as material for the test version product object.

[0225] In addition, embodiments of this application also provide a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the method described in any of the foregoing method embodiments.

[0226] And an electronic device, comprising:

[0227] One or more processors; and

[0228] A memory associated with the one or more processors, the memory being used to store program instructions that, when read and executed by the one or more processors, perform the steps of the method described in any of the foregoing method embodiments.

[0229] in, Figure 18 An exemplary architecture of an electronic device is shown, which may include a processor 1810, a video display adapter 1811, a disk drive 1812, an input / output interface 1813, a network interface 1814, and a memory 1820. The processor 1810, video display adapter 1811, disk drive 1812, input / output interface 1813, network interface 1814, and memory 1820 can communicate with each other via a communication bus 1830.

[0230] The processor 1810 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits to execute relevant programs and implement the technical solution provided in this application.

[0231] The memory 1820 can be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 1820 can store the operating system 1821 for controlling the operation of the electronic device 1800, and the basic input / output system (BIOS) for controlling the low-level operations of the electronic device 1800. Additionally, it can store a web browser 1823, a data storage management system 1824, and an analysis and processing system 1825, etc. The aforementioned analysis and processing system 1825 can be the application program that specifically implements the aforementioned steps in this embodiment. In summary, when implementing the technical solution provided in this application through software or firmware, the relevant program code is stored in the memory 1820 and is called and executed by the processor 1810.

[0232] The input / output interface 1813 is used to connect input / output modules to enable information input and output. Input / output modules can be configured as components within the device (not shown in the figure) or externally connected to the device to provide corresponding functions. Input devices may include keyboards, mice, touchscreens, microphones, various sensors, etc., while output devices may include displays, speakers, vibrators, indicator lights, etc.

[0233] Network interface 1814 is used to connect a communication module (not shown in the figure) to enable communication between this device and other devices. The communication module can communicate via wired means (such as USB, Ethernet cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.).

[0234] Bus 1830 includes a pathway for transmitting information between various components of the device, such as processor 1810, video display adapter 1811, disk drive 1812, input / output interface 1813, network interface 1814, and memory 1820.

[0235] It should be noted that although the above-described device only shows the processor 1810, video display adapter 1811, disk drive 1812, input / output interface 1813, network interface 1814, memory 1820, bus 1830, etc., in specific implementations, the device may also include other components necessary for normal operation. Furthermore, those skilled in the art will understand that the above-described device may only include the components necessary for implementing the solution of this application, and does not necessarily include all the components shown in the figures.

[0236] As can be seen from the above description of the embodiments, those skilled in the art can clearly understand that this application can be implemented by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments of this application.

[0237] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, for system or system embodiments, since they are basically similar to method embodiments, the description is relatively simple, and relevant parts can be referred to the descriptions in the method embodiments. The systems and system embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0238] The foregoing has provided a detailed description of the product object analysis method and electronic device provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are merely for the purpose of helping to understand the method and its core ideas. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method of analyzing a description of a characteristic of a commodity object, characterized by, The method comprises: creating an analysis project according to received analysis requirement information, and creating a target interface for the analysis project; the analysis requirement information comprises basic information of a target commodity object and a plurality of characteristic description scripts to be analyzed; a plurality of script groups are obtained by selecting a target number of elements from the plurality of characteristic description scripts for combination or arrangement, and the analysis project is split into a plurality of analysis tasks corresponding to the plurality of script groups, so that each analysis task is used to compare a target number of characteristic description scripts in the same script group; the target interface is displayed to a plurality of first users a plurality of times, wherein the plurality of displays are dynamically changed, and when the target interface is displayed to a first user, the basic information of the target commodity object and one analysis task are put into the target interface for display, so that the first user makes a selection after comparing a target number of characteristic description scripts in the same script group; according to the selection of the first user corresponding to the plurality of analysis tasks, the winning situation of each characteristic description script in the comparison process is obtained, and an analysis result is provided according to the winning situation.

2. The method of claim 1, wherein the target commodity object comprises a commodity object that has not been officially released in an associated commodity object information system; the method further comprises: creating a test version commodity object according to the basic information, so as to associate the analysis project with the test version commodity object.

3. The method of claim 1, wherein if the script group includes arrangement information between each characteristic description script, the arrangement information is used to determine the display order of each characteristic description script in the target interface.

4. The method of claim 1, wherein the target interface comprises a commodity object card form interface, wherein the commodity object card comprises a commodity object basic information display area and an analysis task information display area, the analysis task information display area is used to display each characteristic description script in the same script group, and an operation control for performing a selection operation is provided.

5. The method of claim 1, wherein the analysis requirement information further comprises characteristic description pictures corresponding to the plurality of characteristic description scripts respectively; the target interface comprises a carousel container for carouseling a commodity object basic information card and a plurality of characteristic information cards, the commodity object basic information card comprises a commodity object basic information display area and an analysis task information display area, and the plurality of characteristic information cards correspond to each characteristic description script in the same script group respectively, and are used to display each characteristic description picture and analysis task information respectively.

6. The method of claim 1, wherein the plurality of times of displaying the target interface to a plurality of first users comprises: putting the target interface into a dedicated analysis channel page for display, wherein the analysis channel page is used to tile display target interfaces corresponding to a plurality of analysis projects; or ​ Synchronize the information of the analysis project to a private domain page building system of a second user associated with the target commodity object, so as to put the target interface into the private domain page of the second user, and show the target interface to the first user in the process of accessing the private domain page by the first user; Or, Provide the first user with link information of the target interface associated with the target commodity object, so as to show the target interface to the first user by sharing the link information through a social network system, a code scanning system or a short video system; Or, Synchronize the information of the analysis project to a live broadcast background system of a second user associated with the target commodity object, so as to push the target interface to the first user for display in the process of live broadcast explanation of the target commodity object.

7. A merchandise object analysis method characterized by, Comprise: Receive analysis demand information of a commodity object that has not been officially released in a commodity object information system, the analysis demand information including basic information of the commodity object, analysis type information and a plurality of to-be-analyzed characteristic description scripts corresponding to the commodity object; the analysis type includes analyzing user interest of a plurality of characteristic description scripts of the commodity object; Generate a test version of the commodity object according to the basic information; Create an analysis project for the test version of the commodity object according to the analysis type information, and create a target interface for the analysis project; the target interface is used to display the basic information of the test version of the commodity object and an operation control for executing a target operation, the target operation being related to the type of the analysis project; wherein the analysis project includes a characteristic description script analysis project, and the operation control includes a plurality of characteristic description script options, so as to combine or arrange a target number of elements selected from the plurality of characteristic description scripts to obtain a plurality of script groups, create a plurality of analysis tasks for the analysis project according to the plurality of script groups, so that each analysis task is used to compare between a target number of characteristic description scripts in the same script group; Synchronize the information of the test version of the commodity object and the analysis project to a live broadcast background system of a second user associated with the target commodity object, so as to add the test version of the commodity object to a live broadcast list, and push the target interface to a user watching live broadcast in the process of live broadcast explanation of the test version of the commodity object, so as to put the basic information of the test version of the commodity object and a characteristic description script corresponding to one analysis task into the target interface for display, and let the user watching live broadcast select a target number of characteristic description scripts in the same script group to participate in the analysis project after comparing the target number of characteristic description scripts.

8. The method of claim 7, wherein: the analysis type further includes analyzing user purchase intention of the test version of the commodity object; the creating an analysis project for the test version of the commodity object according to the analysis type information, and creating a target interface for the analysis project, comprises: Create a reservation item for the test edition commodity object, and create a target interface for the reservation item, wherein the target interface includes basic information of the test edition commodity object and an operation control for reserving the test edition commodity object.

9. The method of claim 8, wherein, Further comprising: Record a first user who has performed a reservation operation on the test edition commodity object; After the commodity object is officially released, obtain identification of the officially released edition commodity object and address information of a target page, and establish an association relationship between the officially released edition commodity object and the test edition commodity object; After receiving a recall request submitted by a second user for the officially released edition commodity object, determine the first user who has performed a reservation operation on the test edition commodity object according to the association relationship, and send a notification message to the first user.

10. A merchandise object analysis method characterized by, Comprise: The live broadcast background system receives test edition commodity object information provided by the analysis system and corresponding analysis item information created for the test edition commodity object according to analysis type information, the analysis item is associated with a target interface, the target interface is used to display basic information of the test edition commodity object and operation controls for performing target operations, the target operations are related to the type of the analysis item; wherein the analysis type includes: analyzing user interest in multiple characteristic description scripts of a commodity object; the analysis item includes a characteristic description script analysis item, and the operation control includes multiple characteristic description script options, so as to combine or arrange a target number of elements selected from the multiple characteristic description scripts to obtain multiple script groups, create multiple analysis tasks for the analysis item according to the multiple script groups, so that each analysis task is used to compare between a target number of characteristic description scripts in the same script group; According to the test edition commodity object information, a corresponding candidate commodity object set is provided, so as to select a target test edition commodity object from the candidate commodity object set and add it to a list of commodities to be broadcast live; During the explanation of the target test edition commodity object, an operation control for pushing the target interface is provided, so as to display the target interface corresponding to the analysis item to users watching the live broadcast through the operation control, so as to display the basic information of the test edition commodity object and the characteristic description script corresponding to one analysis task in the target interface, and the users watching the live broadcast make a selection after comparing the characteristic description scripts in the same script group to participate in the analysis item.

11. A computer readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the steps of the method of any one of claims 1 to 10.

12. An electronic device, comprising: Comprise: One or more processors; And A memory associated with the one or more processors, the memory is used to store program instructions, the program instructions are executed by the one or more processors when read, and the steps of the method of any one of claims 1 to 10 are executed.

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