Method for providing commodity information and electronic equipment

Abstract

The embodiment of the invention discloses a method for providing commodity information and electronic equipment, and the method comprises the steps: determining monitoring task information created by a first user, the monitoring task information comprising at least one to-be-monitored first service site, a target monitoring object in the first service site, and a business opportunity subscription rule, the business opportunity subscription rule comprises a target data index and a corresponding trigger condition; and obtaining a data performance condition of the target monitoring object on the target data index in the first service site, and if the data performance condition accords with the trigger condition, recommending an associated commodity to the first user. And the first user determines a target commodity to be published to at least one second service site according to the received recommended commodity. According to the embodiment of the invention, a seller user can be helped to complete a goods selection process in a goods distribution process.

Description

Technical Field

[0001] The present application relates to the field of information processing technology, and in particular to a method and electronic device for providing commodity information. Background Art

[0002] With the rapid rise of the e-commerce era, many excellent e-commerce platforms have been born, including e-commerce platforms for domestic individual consumers (including C2C or B2C models, that is, individuals and individuals, merchants and individuals, etc.), as well as global cross-border e-commerce platforms. These platforms not only provide a convenient shopping experience, but also meet the needs of global consumers. For cross-border e-commerce platforms, sellers are usually in China, while buyers can be abroad, and specific buyers can be C-type individual users or B-type corporate users (usually bulk purchases through cross-border e-commerce platforms for resale or production purposes), etc. In other words, through this cross-border e-commerce platform, sellers can sell their products to individual users abroad, and can also wholesale to corporate users abroad, etc.

[0003] For merchants or sellers, since there are many different types of e-commerce platforms mentioned above, and each of them targets different types of buyers and users, there may be a need for multi-platform distribution. For example, when a merchant first comes into contact with e-commerce, it may mainly sell goods to domestic individual users through e-commerce platforms. Later, it may need to gradually shift the target sales market to foreign countries. At this time, it is necessary to open stores on other e-commerce platforms and publish specific product information, etc. In the process of distributing goods on multiple platforms mentioned above, how to select products, that is, which products to sell on a certain e-commerce platform, may be a difficult problem faced by some seller users. Summary of the invention

[0004] This application provides a method and electronic device for providing product information, which can help sellers and users complete the product selection process during the distribution process.

[0005] This application provides the following solutions:

[0006] A method for providing product information, comprising:

[0007] Determine monitoring task information created by the first user, the monitoring task information including at least one first service site to be monitored, a target monitoring object in the first service site, and a business opportunity subscription rule, the business opportunity subscription rule including a target data indicator and a corresponding trigger condition;

[0008] The data performance of the target monitoring object in the first service site on the target data indicator is obtained. If the data performance meets the trigger condition, the associated product is recommended to the first user, so that the first user determines the target product to be published to at least one second service site based on the received recommended product.

[0009] Among them, it also includes:

[0010] After receiving a request from a first user to publish the target product to the at least one second service site in a one-click manner, collecting product publishing related data of the target product from the first service site, and mapping the collected data to target data that complies with the publishing rules of the second service site;

[0011] According to the target data, the commodity publishing service interface of the second service site is connected to publish the target commodity to the second service site.

[0012] The step of mapping the collected data into target data that complies with the publishing rules of the second service site includes:

[0013] Prompt information for communicating with the artificial intelligence AI generative model is generated based on the collected data content and the publishing rules of the second service site, and the AI ​​generative model is called so that the AI ​​generative model can be modified and / or optimized based on the collected data content and mapped to target data that complies with the publishing rules of the second service site.

[0014] The modifying and / or optimizing the collected data content includes:

[0015] Rewriting the text content of the target product to generate new text content;

[0016] generating a scene graph for the target product;

[0017] and / or,

[0018] The background and / or the model image in the collected image content is replaced.

[0019] Among them, it also includes:

[0020] Determining automatic price adjustment rule information configured by the first user;

[0021] After receiving a request from the first user to publish the target product to the at least one second service site, determining the same product of the target product and the corresponding price attribute information in the second service site;

[0022] The price attribute of the same product is adjusted according to the automatic price adjustment rule information to determine the price attribute information when the target product is published in the second service site.

[0023] Among them, it also includes:

[0024] After the target product is published on the second service site, monitoring the dynamic changes of the price attribute information of the same product;

[0025] According to the monitored changes in price attributes of the same product and the automatic price adjustment rule information, the price attributes of the target product are automatically adjusted, and the adjusted price is updated to the second service site by connecting to the price adjustment interface of the second service site.

[0026] Among them, when determining the same product as the target product in the second service site, the multi-modal data about the target product collected from the first service site is matched with the products in the second service site to determine the same product as the target product; the multi-modal data includes images, texts, and category-attribute-attribute value information.

[0027] Among them, the AI ​​big model is used to extract category-attribute-attribute values ​​from the first service site, and to match goods based on the category-attribute-attribute values.

[0028] A method for providing product information, comprising:

[0029] Providing an operation option for creating a monitoring task so that a first user can create monitoring task information, wherein the monitoring task information includes at least one first service site to be monitored, a target monitoring object in the first service site, and a business opportunity subscription rule, wherein the business opportunity subscription rule includes a target data indicator and a corresponding trigger condition;

[0030] Submitting the monitoring task information created by the first user to the server, so that the server obtains the data performance of the target monitoring object on the target data indicator in the first service site, and recommending the associated product to the first user if the data performance meets the trigger condition;

[0031] The recommended product information returned by the server is displayed so that the first user can determine the target product to be published to at least one second service site based on the received recommended products.

[0032] Among them, it also includes:

[0033] A service interface for one-click multi-service site product publishing is provided, so that after the first user determines the target product, multiple target second service sites selected by the first user are determined through the service interface, and after receiving the one-click publishing request of the first user, product publishing related data of the target product is collected from the first service site, and the collected data is respectively mapped to target data that conforms to the publishing rules of the multiple target second service sites, and the target product is published to the multiple target second service sites by calling the product publishing interfaces of the multiple target second service sites.

[0034] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of any of the methods described above.

[0035] An electronic device, comprising:

[0036] one or more processors; and

[0037] A memory associated with the one or more processors, the memory being used to store program instructions, wherein the program instructions, when read and executed by the one or more processors, execute the steps of any of the methods described above.

[0038] A computer program product comprises a computer program / computer executable instructions, wherein the computer program / computer executable instructions implement the steps of any of the aforementioned methods when executed by a processor in an electronic device.

[0039] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0040] Through the embodiments of the present application, a business opportunity monitoring service can be provided for the first user (seller user, etc.). Through this service, the first user can create a monitoring task, in which at least one first service site to be monitored, the target monitoring object in the first service site, and the business opportunity subscription rules can be specified. The business opportunity subscription rules include target data indicators and corresponding trigger conditions. In this way, the above-mentioned business opportunity monitoring service can obtain the data performance of the target monitoring object in the first service site on the target data indicator. If the data performance meets the trigger condition, the associated product will be recommended to the first user, so that the first user can determine the target product to be published to at least one second service site based on the received recommended product. In this way, the first user no longer needs to spend a lot of time manually discovering the hot-selling products of each platform or the new products of excellent peers, etc., to avoid or reduce the occurrence of missed business opportunities due to negligence.

[0041] In addition, under the preferred implementation mode, a one-click multi-platform product release service can also be provided for the first user, so that after the user determines the product to be released, he can release it to at least one second service site with one click, and the system can automatically obtain the materials required for product release from the first service site. In the preferred mode, the material content can also be modified or optimized through the AI ​​generative model, and mapped into material content that conforms to the release rules of each second service site, and then the product release is completed by calling the product release interface of the second service site, thereby helping the first user to spread the product on multiple platforms with one click, reducing the time required for the first user to prepare product materials and improving the efficiency of releasing products.

[0042] Furthermore, an automatic price adjustment service can be provided for the first user. The first user can configure the products and rules for automatic price adjustment, and the system can automatically help the first user identify and monitor the prices of the same products. When the automatic price adjustment rules are met, the system can automatically adjust the price in real time by connecting to the interface of the second service site, avoiding the first user's manual search and detection of the prices of the same products in the same service site and setting prices. In the process of identifying the same products, the AI ​​big model can also be used to optimize the CPV (category, attribute, attribute value) extraction, CPV matching and cross-modal matching capabilities of images and texts, improve the accuracy of identifying the same products, and provide the ability to collect information on the same products in real time.

[0043] Of course, any product implementing the present application does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0045] Figure 1 It is a schematic diagram of the system architecture provided by the embodiment of the present application;

[0046] Figure 2 is a flow chart of the server-side method provided in an embodiment of the present application;

[0047] Figure 3 is a flowchart of a client-side method provided in an embodiment of the present application;

[0048] Figure 4 It is a schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

[0050] First of all, it should be explained that the inventor of the present application discovered in the process of realizing the present application that when sellers select products for multi-platform distribution needs, a commonly used product selection plan is to query the sales of goods of other peer sellers on multiple e-commerce platforms, and find goods with attributes such as "hot-selling products" and "new products", and then look for the corresponding source of goods. If there is a supplier to provide the source of goods, the goods can be distributed in the stores opened by the sellers on one or more e-commerce platforms, that is, the goods can be put on the shelves in the sellers' own stores and the corresponding profits can be obtained by selling such goods.

[0051] The above method is an effective product selection solution. However, in the existing technology, sellers need to spend a lot of time staring at the hot-selling products on various platforms or new products from peers, which can easily lead to missed business opportunities. In addition, even if you find a product you like, you still need to manually send it to each operating platform, prepare and optimize the product title, pictures, attributes, price, detailed description, logistics and other materials, which takes a long time to prepare.

[0052] In view of the above situation, the embodiment of the present application first solves the problem of easily missing business opportunities. In other implementations, it can also solve the problem of long material preparation time during the product delivery process.

[0053] Specifically, for the first problem mentioned above, the solution provided by the embodiment of the present application is that a business opportunity monitoring service can be provided for seller users. In this service, sellers can be supported to subscribe to monitoring objects in some popular or more concerned e-commerce websites and other service sites (for the sake of distinction, referred to as the first service site here, it can be understood that users can specify multiple first service sites for monitoring). Such monitoring objects can be specific commodity items, or lists, categories or stores in the above service sites, etc. In addition, sellers can also set specific business opportunity subscription rules, which can be composed of a specific data indicator and a corresponding trigger condition. For example, for a specific commodity such as a monitoring object, a specific business opportunity subscription rule can be that the sales volume of the commodity reaches a certain threshold (that is, the data indicator is the sales volume, and the trigger condition is to reach a certain threshold), etc. Afterwards, the above monitoring service can automatically execute the monitoring task. If it is found that the monitoring object meets the corresponding business opportunity subscription rule, the relevant commodity information can be notified to the seller in real time. In this way, sellers no longer need to manually stare at major e-commerce platforms to issue hot-selling products and other commodities, so it can avoid the situation of missing business opportunities.

[0054] In addition, after the seller decides to follow-sell a certain product, the system can also provide the seller with a "one-click multi-platform product delivery" service. Specifically, the user can choose which service site or sites (which can be called the second service site) to deliver the product to. After that, the one-click product delivery service can collect the data of the product in real time, including title, picture, attribute, category, detailed description, etc. Since the delivery rules in different service sites may be different, for example, there may be different requirements for the product image size, the length of the title text, etc. In addition, different service sites also have their own different product category systems. Therefore, after collecting the data of the specific product from the first service site, the system can also automatically map the collected data into data content that conforms to the delivery rules in the specific second service site. After that, the automatic delivery can be completed by calling the delivery interface (i.e., the product release service interface) provided by the second service site. In other words, sellers no longer need to prepare various materials for the product by themselves, nor do they need to log in to different e-commerce platforms one by one to complete the delivery operation, thereby improving efficiency.

[0055] In a preferred manner, in the above-mentioned process of mapping the product data, the content generation capability of the AI ​​(artificial intelligence) generative model can also be used to help users modify or optimize the product data content, for example, rewriting the text description content such as the title and details, or, for the content of the product image, a scene graph can be generated (that is, the specific product body is displayed in a specific scene), or, the existing background in the product image can be replaced, the model image included in the product image can be replaced, and so on.

[0056] Furthermore, in the process of sending out products, it is usually necessary to determine the price attributes of the target product. In the embodiment of the present application, an automatic price adjustment service can also be provided to the seller. The seller can configure automatic price adjustment rules in the system. Then, the system can determine the same products of the target product in the second service site and the corresponding price attribute information. That is, if it is necessary to publish to a second service site, the price information corresponding to each same product of the target product in the second service site can be obtained. After that, the price of the same product can be adjusted based on the automatic price adjustment rules configured by the seller. The adjusted price can be used as the price of the specific product when it is published in the store opened by the seller at the second service site.

[0057] From the perspective of system architecture, see Figure 1, the embodiment of the present application is mainly for seller users, and provides a business opportunity detection service system, which may include a client and a server. Seller users can create monitoring tasks through the client of the system, and specify at least one first service site that needs to be detected, as well as the target monitoring object in the specific first service site, which can be a specific commodity, or a list, category, store, etc., and specify specific business opportunity subscription rules. Afterwards, the server of the system can monitor the monitoring objects that meet the specific business opportunity subscription rules, and notify the seller of the corresponding commodity information, etc. Sellers can then select the specific commodities that need to be published on their own stores from this commodity information. Afterwards, the one-click commodity publishing system can also be used to publish the specific selected commodities to multiple different second service sites in one click. In this process, the system can collect the title, picture, detailed description, attributes and other information of the specific commodity from the first service site, and then, it can be rewritten or optimized accordingly through the AI ​​generative model, and the materials required for commodity publishing can be automatically generated. In addition, an automatic price adjustment service can also be provided. Seller users can pre-set automatic price adjustment rules. When they need to publish products to a second service site, they can determine the price attribute information of the same products in the second service site, and use the automatic price adjustment rules to adjust them before publishing them to the current second service site, and so on.

[0058] The specific implementation scheme provided in the embodiments of the present application is described in detail below.

[0059] Embodiment 1

[0060] First, the first embodiment of the present application provides a method for providing product information from the perspective of the server. Figure 2 , the method may include:

[0061] S201: Determine monitoring task information created by a first user, wherein the monitoring task information includes at least one first service site to be monitored, a target monitoring object in the first service site, and a business opportunity subscription rule, wherein the business opportunity subscription rule includes a target data indicator and a corresponding trigger condition.

[0062] Among them, the first user is also the seller user, which can also be called the seller user, etc. In the embodiment of the present application, it is uniformly referred to as the first user, and correspondingly, the buyer or buyer user can be the second user. In order to help users monitor business opportunities, firstly, an entrance for creating a monitoring task can be provided for the first user. For example, an option for creating a monitoring task can be provided in a related interface, and the first user can initiate the process of creating a monitoring task through this operation option. Specifically, when creating a monitoring task, at least one first service site that needs to be monitored can be specified, and the specific first service site is also a site that provides commodity information services. In addition, the monitoring object and the corresponding business opportunity subscription rules in the specific first service site can also be specified, and the specific business opportunity subscription rules can be defined by data indicators and corresponding trigger conditions. Among them, for different monitoring objects, the data indicators and trigger conditions used in the specific business opportunity subscription rules can also be different. For example, as mentioned above, the specific monitoring object can be a specific commodity, at this time, the numerical changes of the commodity in data indicators such as sales volume are monitored. Alternatively, you can also specify a store, category, list, etc. as the monitoring object. For a store, the specific data indicator can be "new products in the past week", that is, you can monitor which new products have been recently launched in one or more specific stores. Or, for binding, the specific data indicator can be "listed products in the past week", that is, you can monitor which new products have been listed in a certain list, and so on.

[0063] S202: Obtain data performance of the target monitoring object in the first service site on the target data indicator. If the data performance meets the trigger condition, recommend the associated product to the first user, so that the first user determines the target product to be published to at least one second service site based on the received recommended product.

[0064] After completing the task creation, the data performance of the target monitoring object in the first service site on the target data indicator can be obtained. Among them, this data can be obtained in a variety of ways. For example, since data such as product sales, new store launches, and rankings are usually public data and are displayed on relevant pages as information such as product selling points, relevant data can be collected by accessing the relevant pages of the target monitoring object in the first service site through a proxy. For example, for data on product sales, it is usually presented in the form of "sold" quantity in pages such as product details pages. For information such as new store launches, it will be displayed in a certain section or theme in pages such as store details pages. For information on rankings, a special ranking page will be provided, which displays the theme of the ranking and which products are included in the ranking, etc. Therefore, relevant data can be obtained by accessing these pages through a proxy, etc. Of course, the above data can also be obtained in other ways, for example, through some organizations that specialize in providing data services to obtain relevant data, etc.

[0065] After obtaining the above data, the specific data performance can be judged. If it meets the trigger conditions configured by the first user, the associated products can be recommended to the first user, so that the first user can determine the target products to be published to at least one second service site based on the received recommended products. For example, if the monitored object is a single product, the product can be recommended to the user. If the monitored object is a store, category, list, etc., since the store, category, list, etc. correspond to a product collection, the products in the collection can be recommended to the first user, and so on.

[0066] After receiving the recommended product information, the first user can determine the products that need to be put on the shelves and released in the store opened in the second service site. For example, if the system monitors that a certain product is a hot-selling product in the first service site, that is, the sales volume has increased significantly recently, and recommends it to the first user, then the first user can put the product on the shelves of the store opened by himself in the second service site, so as to improve the sales index of the entire store through the sales volume of the product, and so on.

[0067] Of course, in actual applications, for an e-commerce platform, the sellers settled therein may be divided into trading merchants and factory merchants. Among them, trading merchants mainly sell goods. They may have strong operational capabilities, but they do not have the ability to manufacture goods themselves. However, they may have many cooperative factories and know what goods the factories have and what goods they can produce, etc. Therefore, for the hot-selling products, new products and other goods in the first service site, after they are recommended to a first user, if the first user wants to publish them in his own store for sale, and the first user is a trading merchant, then the first user also needs to find the source of goods, prepare the goods, etc. If a suitable source of goods is found (for example, there is a cooperative factory that can take orders to produce the goods, etc.), then the goods can be put on the shelves for sale in the store opened by the first user in the second service site.

[0068] Among them, the process of the first user looking for the source of goods can be completed offline by themselves, or, in another way, in the preferred embodiment of the present application, since there may also be factory-type merchants in the specific second service site, the first user can also be provided with a function for finding cooperative factory-type merchants. Specifically, after determining the recommended goods by monitoring the data in the first service site, the product title, picture and other information of the goods can be obtained, and an operation option for searching factory-type merchants can be provided. The first user can initiate an operation request through the operation option, and accordingly, according to the title, picture, etc. of the goods, a consultation message can be sent to factory-type merchants of multiple related categories. After receiving the consultation message, the factory-type merchant can reply, including information such as quotation sheets and construction periods, and the first user can further communicate with the factory-type merchant through dialogue, etc., and select a suitable factory-type merchant to produce specific goods. Afterwards, the first user can wait until the production of the goods is completed, and then publish the specific goods as spot goods to the store of the second service site for sale, or can also publish the goods as pre-sale products to the store of the second service site for sale during the production of the goods, and so on.

[0069] Of course, in addition to looking for factory-type merchants to produce goods, in another way, the first user can also obtain the supply of related goods through spot wholesale from wholesalers, etc.

[0070] After the first user has determined the specific goods to be sold and found the relevant source of goods, the first user can publish the goods in the store opened at the second service site. The second service site and the first service site can be different service sites, or they can be the same service site, which is not limited here. When publishing goods to the second service site, since the same first user may have stores in multiple different service sites, the goods can be published to multiple different second service sites, so that the goods can be sold in the stores of multiple different second service sites.

[0071] In the process of publishing a product to the second service site, it is usually necessary to provide a variety of material information of the product, for example, including product title, product image, CPV (category, attribute, attribute value), detailed description, etc. In the prior art, these data need to be prepared in advance by the first user, and different service sites may have different requirements for specific materials. For example, there may be different rules in terms of the number of words in the title, the size of the product image, etc. Different service sites also have their own different category systems. The same product may belong to different categories under different category systems, etc. Therefore, when the first user publishes the same product to different service sites, he may need to prepare multiple sets of material data, which is very time-consuming and labor-intensive.

[0072] Therefore, in the preferred embodiment of the present application, in order to simplify the process of commodity release and improve the efficiency of commodity release, the first user can also be provided with an operation option of one-click commodity release to one or more different second service sites. After receiving the request of the first user to release the target commodity to at least one second service site in one-click, the commodity release-related data of the target commodity can also be collected from the first service site, which can include the commodity title, commodity image, CPV information, detailed description information, etc. After that, the collected data can also be mapped to the target data that conforms to the release rules of the second service site. For example, the size and resolution of the commodity image can be modified to the size and resolution that conform to the release rules of the second service site. After that, the commodity release service interface of the second service site can be connected according to the target data obtained by such mapping, so as to release the target commodity to the second service site. In other words, the first user only needs to select which or which second service sites need to release the commodity, and then the system can automatically complete the process of obtaining, mapping, and releasing the material data, and the first user no longer needs to prepare the material in advance, nor does it need to log in to each second service site to complete the release operation.

[0073] Among them, in a more preferred manner, specifically when mapping the collected data to target data that complies with the publishing rules of the second service site, prompt information for communicating with the AI ​​generative model can be generated based on the collected data content and the publishing rules of the second service site, and the AI ​​generative model can be called to modify and / or optimize the AI ​​generative model based on the collected data content, and then mapped to target data that complies with the publishing rules of the second service site.

[0074] That is to say, in the specific implementation, since the data is collected from the first service site, and these data, especially the product images, may be produced by other sellers, in order to avoid copyright disputes, etc., the collected data can also be rewritten or optimized through the AI ​​generative model, and then published to the store opened at the second service site. For example, it can specifically include rewriting the text content of the target product to generate new text content, including rewriting the title and text description content of the target product, etc. Alternatively, a scene graph is generated for the target product. For example, the product image collected from the first service site may only include a white background image. At this time, the AI ​​generative model can generate a background image that can express a certain scene based on the white background image, and synthesize it with the product body image in the white background image into a specific scene graph. For example, the product itself is a tent, and the specifically generated scene graph can be a picture of the use status effect of the tent in an outdoor camping scene, etc. Alternatively, if the product images collected from the first service site also include background images, or some product images may also include model upper body effects images, etc., then the background and / or model image in the collected image content may also be replaced. For example, the original background is deleted and replaced with a background image newly generated by the AI ​​generative model, or the facial image of the model image may be replaced with a facial image generated by AI, etc. In the process of rewriting or optimizing, personalized rewriting or optimization may also be performed in combination with the characteristics of the specific first user, or the style of the store opened by the first user (including the product style, the style commonly used by the first user when describing the product, etc.).

[0075] In this way, the product title, product image, etc. of the target product published on the second service site are not completely identical to those on the first service site, thereby achieving diverse expressions and facilitating personalized expressions based on the first user.

[0076] Among them, various materials in the process of commodity publishing, in addition to the commodity title, text description information, commodity pictures, etc., may also include commodity attribute information, one of which is the price attribute. Generally speaking, the price attribute of the commodity needs to be determined by the specific publisher user. In an embodiment of the present application, in order to further achieve the degree of automation and also facilitate the first user to formulate reasonable pricing for a specific commodity, an automatic price adjustment service can also be provided to the first user. Through this service, the first user can configure automatic price adjustment rule information, so that after receiving the first user's request to publish the target commodity to the at least one second service site, the same commodity and the corresponding price attribute information of the target commodity in the second service site can be first determined, and then the price attribute of the same commodity can be adjusted according to the automatic price adjustment rule information to determine the price attribute information when the target commodity is published in the second service site.

[0077] That is to say, when the first user publishes a certain product to the second service site, if the same product of the product has already been published by other first users in the same second service site, then these same products are competing products of the product. Therefore, in order to make the published product have a competitive advantage in terms of price, the price attributes of these same products can be referred to when setting prices. Among them, the automatic price adjustment rules can be formulated by the first user according to needs. For example, it can be "lower price than the same product by ** yuan". At this time, assuming that three same products are found in the same second service site, the price attributes of these three same products can be determined, and the lowest one can be taken out, and then the above "** yuan" can be subtracted from this basis to be used as the price attribute of the currently published product, and so on.

[0078] In addition, since the price of a specific product can be adjusted dynamically after it is released, including the price of the same product of the product, it may also be adjusted dynamically. Therefore, in the specific implementation, after the aforementioned target product is released in the second service site, the price of the same product of the target product can continue to be monitored in real time. If it is found that the price of the same product is adjusted at a certain moment, the price of the target product can also be automatically adjusted according to the automatic price adjustment rules. In addition, in actual applications, a pricing effect analysis service can also be provided. The pricing effect can be analyzed by comparing the pricing and the sales volume after the automatic adjustment. If the effect is not ideal, the first user can improve it by modifying the automatic price adjustment rules.

[0079] It should be noted that in the process of finding the same item in the same service site, the same item identification capability is involved, which is applied in scenes such as "image search". For example, when a user enters a picture to search for goods, the same item identification capability is involved. However, in the prior art, the same item is mainly identified based on images, but there are situations such as low recognition accuracy. For example, the picture shows a pillow with a cartoon pattern, but the goods in the search results may include other categories of goods such as washbasins with the cartoon pattern, which obviously does not meet the search requirements. Therefore, in an embodiment of the present application, in order to improve the accuracy of the same item identification, the implementation method of the same item identification based on multimodal information such as image plus text can also be adopted. That is to say, after the material of the target product is collected from the first service site, since these material data include information such as pictures, titles, CPV (category, attribute, attribute value) of the product, therefore, when the same item is identified in the second service site, the same item can be identified based on the above-mentioned multimodal information such as product pictures, title texts, CPV information, etc., so as to improve the accuracy of the same item identification. Among them, in the process of extracting the CPV information of the goods from the first service site, and matching the same goods based on the CPV information, the capabilities of the AI ​​big model can be used to achieve more accurate CPV extraction and matching.

[0080] In summary, through the embodiments of the present application, a business opportunity monitoring service can be provided for the first user (seller user, etc.). Through this service, the first user can create a monitoring task, in which at least one first service site to be monitored, the target monitoring object in the first service site, and the business opportunity subscription rules can be specified, and the business opportunity subscription rules include target data indicators and corresponding trigger conditions. In this way, the above-mentioned business opportunity monitoring service can obtain the data performance of the target monitoring object in the first service site on the target data indicator. If the data performance meets the trigger condition, the associated product will be recommended to the first user, so that the first user can determine the target product to be published to at least one second service site based on the received recommended product. In this way, the first user no longer needs to spend a lot of time manually discovering the hot-selling products of each platform or the new products of excellent peers, etc., to avoid or reduce the occurrence of missed business opportunities due to negligence.

[0081] In addition, under the preferred implementation mode, a one-click multi-platform product release service can also be provided for the first user, so that after the user determines the product to be released, he can release it to at least one second service site with one click, and the system can automatically obtain the materials required for product release from the first service site. In the preferred mode, the material content can also be modified or optimized through the AI ​​generative model, and mapped into material content that conforms to the release rules of each second service site, and then the product release is completed by calling the product release interface of the second service site, thereby helping the first user to spread the product on multiple platforms with one click, reducing the time required for the first user to prepare product materials and improving the efficiency of releasing products.

[0082] Furthermore, an automatic price adjustment service can be provided for the first user. The first user can configure the products and rules for automatic price adjustment, and the system can automatically help the first user identify and monitor the prices of the same products. When the automatic price adjustment rules are met, the system can automatically adjust the price in real time by connecting to the interface of the second service site, avoiding the first user's manual search and detection of the prices of the same products in the same service site and setting prices. In the process of identifying the same products, the AI ​​big model can also be used to optimize the CPV extraction, CPV matching and cross-modal matching capabilities of images and texts, improve the accuracy of identifying the same products, and provide the ability to collect the same product information in real time.

[0083] Embodiment 2

[0084] This second embodiment corresponds to the first embodiment and provides a method for providing product information from the perspective of the first user client. Figure 3 , the method may include:

[0085] S301: providing an operation option for creating a monitoring task so that a first user can create monitoring task information, wherein the monitoring task information includes at least one first service site to be monitored, a target monitoring object in the first service site, and a business opportunity subscription rule, wherein the business opportunity subscription rule includes a target data indicator and a corresponding trigger condition;

[0086] S302: Submitting the monitoring task information created by the first user to the server, so that the server obtains the data performance of the target monitoring object on the target data indicator in the first service site, and recommending the associated product to the first user if the data performance meets the trigger condition;

[0087] S303: Display the recommended product information returned by the server, so that the first user can determine the target product to be published to at least one second service site according to the received recommended products.

[0088] In specific implementation, a service interface for one-click multi-service site product publishing can also be provided, so that after the first user determines the target product, the multiple target second service sites selected by the first user are determined through the service interface, and after receiving the one-click publishing request of the first user, the product publishing related data of the target product is collected from the first service site, and the collected data is respectively mapped to target data that conforms to the publishing rules of the multiple target second service sites, and the target product is published to the multiple target second service sites by calling the product publishing interfaces of the multiple target second service sites.

[0089] For the undescribed parts in the second embodiment, please refer to the description of the first embodiment of the present application and other parts of this specification, which will not be repeated here.

[0090] It should be noted that the embodiments of the present application may involve the use of user data. In actual applications, user-specific personal data can be used in the scheme described herein within the scope permitted by applicable laws and regulations, subject to the requirements of applicable laws and regulations of the country where the user is located (for example, with the user's explicit consent, effective notification to the user, etc.).

[0091] Corresponding to the first embodiment, the embodiment of the present application further provides a device for providing commodity information, which may include:

[0092] a task information determination unit, configured to determine monitoring task information created by a first user, wherein the monitoring task information includes at least one first service site to be monitored, a target monitoring object in the first service site, and a business opportunity subscription rule, wherein the business opportunity subscription rule includes a target data indicator and a corresponding trigger condition;

[0093] A product information providing unit is used to obtain the data performance of the target monitoring object in the first service site on the target data indicator. If the data performance meets the trigger condition, the associated product is recommended to the first user, so that the first user can determine the target product to be published to at least one second service site based on the received recommended product.

[0094] In a specific implementation, the device may further include:

[0095] a data mapping unit, configured to, upon receiving a request from a first user to publish the target product to the at least one second service site in a one-click manner, collect product publishing related data of the target product from the first service site, and map the collected data into target data that complies with a publishing rule of the second service site;

[0096] A publishing unit is used to connect to the commodity publishing service interface of the second service site according to the target data, so as to publish the target commodity to the second service site.

[0097] The data mapping unit may be specifically used for:

[0098] Prompt information for communicating with the artificial intelligence AI generative model is generated based on the collected data content and the publishing rules of the second service site, and the AI ​​generative model is called so that the AI ​​generative model can be modified and / or optimized based on the collected data content and mapped to target data that complies with the publishing rules of the second service site.

[0099] In specific implementation, the data mapping unit may be used to:

[0100] Rewriting the text content of the target product to generate new text content;

[0101] generating a scene graph for the target product;

[0102] and / or,

[0103] The background and / or the model image in the collected image content is replaced.

[0104] In addition, the device may also include:

[0105] a price adjustment rule information determining unit, configured to determine the automatic price adjustment rule information configured by the first user;

[0106] a same-item product price information acquisition unit, configured to determine, in the second service site, same-item products of the target product and corresponding price attribute information after receiving a request from the first user to publish the target product to the at least one second service site;

[0107] The first automatic price adjustment unit is used to adjust the price attribute of the same product according to the automatic price adjustment rule information to determine the price attribute information when publishing the target product in the second service site.

[0108] Furthermore, the device may further include:

[0109] A price monitoring unit, configured to monitor the dynamic changes of the price attribute information of the same product after the target product is published on the second service site;

[0110] The second automatic price adjustment unit is used to automatically adjust the price attributes of the target product according to the monitored changes in price attributes of the same product and the automatic price adjustment rule information, and update the adjusted price to the second service site by connecting to the price adjustment interface of the second service site.

[0111] Among them, when determining the same product as the target product in the second service site, the multi-modal data about the target product collected from the first service site is matched with the products in the second service site to determine the same product as the target product; the multi-modal data includes images, texts, and category-attribute-attribute value information.

[0112] Specifically, the AI ​​big model can be used to extract category-attribute-attribute values ​​from the first service site, and match commodities based on the category-attribute-attribute values.

[0113] Corresponding to the second embodiment, the embodiment of the present application further provides a device for providing commodity information, which may include:

[0114] an operation option providing unit, configured to provide an operation option for creating a monitoring task, so that a first user can create monitoring task information, wherein the monitoring task information includes at least one first service site to be monitored, a target monitoring object in the first service site, and a business opportunity subscription rule, wherein the business opportunity subscription rule includes a target data indicator and a corresponding trigger condition;

[0115] a submitting unit, configured to submit the monitoring task information created by the first user to a server, so that the server obtains the data performance of the target monitoring object on the target data indicator in the first service site, and recommends the associated product to the first user if the data performance meets the trigger condition;

[0116] The display unit is used to display the recommended product information returned by the server, so that the first user can determine the target product to be published to at least one second service site based on the received recommended products.

[0117] In a specific implementation, the device may further include:

[0118] A one-click publishing unit is used to provide a service interface for publishing goods in one-click multiple service sites, so that after the first user determines the target product, multiple target second service sites selected by the first user are determined through the service interface, and after receiving the one-click publishing request of the first user, the target product is published to the multiple target second service sites by calling the product publishing interfaces of the multiple target second service sites.

[0119] In addition, an embodiment of the present application further provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the steps of any one of the methods in the aforementioned method embodiments are implemented.

[0120] And an electronic device, comprising:

[0121] one or more processors; and

[0122] A memory associated with the one or more processors, the memory being used to store program instructions, wherein the program instructions, when read and executed by the one or more processors, execute the steps of the method described in any one of the aforementioned method embodiments.

[0123] A computer program product includes a computer program / computer executable instructions, which, when executed by a processor in an electronic device, implement the steps of the method described in the aforementioned method embodiment.

[0124] in, Figure 4 The architecture of the electronic device is shown as an example, which may include a processor 410, a video display adapter 411, a disk drive 412, an input / output interface 413, a network interface 414, and a memory 420. The processor 410, the video display adapter 411, the disk drive 412, the input / output interface 413, the network interface 414, and the memory 420 may be communicatively connected via a communication bus 430.

[0125] Among them, the processor 410 can be implemented by a general-purpose CPU (Central Processing Unit, processor), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, etc., to execute relevant programs to implement the technical solution provided in this application.

[0126] The memory 420 can be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory), static storage device, dynamic storage device, etc. The memory 420 can store an operating system 421 for controlling the operation of the electronic device 400, and a basic input and output system (BIOS) for controlling the low-level operation of the electronic device 400. In addition, a web browser 423, a data storage management system 424, and a commodity information processing system 425, etc. can also be stored. The above-mentioned commodity information processing system 425 can be an application program that specifically implements the operations of the aforementioned steps in the embodiment of the present application. In short, when the technical solution provided by the present application is implemented by software or firmware, the relevant program code is stored in the memory 420 and is called and executed by the processor 410.

[0127] The input / output interface 413 is used to connect the input / output module to realize information input and output. The input / output module can be configured in the device as a component (not shown in the figure), or it can be externally connected to the device to provide corresponding functions. The input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, etc.

[0128] The network interface 414 is used to connect to a communication module (not shown) to realize communication interaction between the device and other devices. The communication module can realize communication through a wired mode (such as USB, network cable, etc.) or a wireless mode (such as mobile network, WIFI, Bluetooth, etc.).

[0129] The bus 430 comprises a pathway for transmitting information between the various components of the device (eg, the processor 410, the video display adapter 411, the disk drive 412, the input / output interface 413, the network interface 414, and the memory 420).

[0130] It should be noted that, although the above device only shows a processor 410, a video display adapter 411, a disk drive 412, an input / output interface 413, a network interface 414, a memory 420, a bus 430, etc., in the specific implementation process, the device may also include other components necessary for normal operation. In addition, it can be understood by those skilled in the art that the above device may also only include components necessary for implementing the solution of the present application, and does not necessarily include all the components shown in the figure.

[0131] It can be known from the description of the above implementation methods that those skilled in the art can clearly understand that the present application can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solution of the present application can be essentially or partly contributed to the prior art in the form of a software product, which can be stored in a storage medium such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in the various embodiments of the present application or certain parts of the embodiments.

[0132] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can refer to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiment. The system and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without creative work.

[0133] The above is a detailed introduction to the method and electronic device for providing commodity information provided by the present application. The principles and implementation methods of the present application are described in detail using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present application. At the same time, for those skilled in the art, according to the idea of ​​the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present application.

Claims

1. A method for providing product information, characterized in that: include: Determine monitoring task information created by the first user, the monitoring task information including at least one first service site to be monitored, a target monitoring object in the first service site, and a business opportunity subscription rule, the business opportunity subscription rule including a target data indicator and a corresponding trigger condition; The data performance of the target monitoring object in the first service site on the target data indicator is obtained. If the data performance meets the trigger condition, the associated product is recommended to the first user, so that the first user determines the target product to be published to at least one second service site based on the received recommended product.

2. The method according to claim 1, characterized in that Also includes: After receiving a request from a first user to publish the target product to the at least one second service site in a one-click manner, collecting product publishing related data of the target product from the first service site, and mapping the collected data to target data that complies with the publishing rules of the second service site; According to the target data, the commodity publishing service interface of the second service site is connected to publish the target commodity to the second service site.

3. The method according to claim 2, characterized in that The mapping of the collected data into target data that complies with the publishing rules of the second service site includes: Prompt information for communicating with the artificial intelligence AI generative model is generated based on the collected data content and the publishing rules of the second service site, and the AI ​​generative model is called so that the AI ​​generative model can be modified and / or optimized based on the collected data content and mapped to target data that complies with the publishing rules of the second service site.

4. The method according to claim 3, characterized in that: The modifying and / or optimizing the collected data content includes: Rewriting the text content of the target product to generate new text content; generating a scene graph for the target product; and / or, The background and / or the model image in the collected image content is replaced.

5. The method according to claim 2, characterized in that: Also includes: Determining automatic price adjustment rule information configured by the first user; After receiving a request from the first user to publish the target product to the at least one second service site, determining the same product of the target product and the corresponding price attribute information in the second service site; The price attribute of the same product is adjusted according to the automatic price adjustment rule information to determine the price attribute information when the target product is published in the second service site.

6. The method according to claim 5, characterized in that Also includes: After the target product is published on the second service site, monitoring the dynamic changes of the price attribute information of the same product; According to the monitored changes in price attributes of the same product and the automatic price adjustment rule information, the price attributes of the target product are automatically adjusted, and the adjusted price is updated to the second service site by connecting to the price adjustment interface of the second service site.

7. The method according to claim 5, characterized in that When determining the same product as the target product in the second service site, the multi-modal data about the target product collected from the first service site is matched with the products in the second service site to determine the same product as the target product; the multi-modal data includes images, text, and category-attribute-attribute value information.

8. The method according to claim 6, characterized in that The AI ​​big model is used to extract category-attribute-attribute values ​​from the first service site, and to match commodities based on the category-attribute-attribute values.

9. A method for providing product information, characterized in that: include: Providing an operation option for creating a monitoring task so that a first user can create monitoring task information, wherein the monitoring task information includes at least one first service site to be monitored, a target monitoring object in the first service site, and a business opportunity subscription rule, wherein the business opportunity subscription rule includes a target data indicator and a corresponding trigger condition; Submitting the monitoring task information created by the first user to the server, so that the server obtains the data performance of the target monitoring object on the target data indicator in the first service site, and recommending the associated product to the first user if the data performance meets the trigger condition; The recommended product information returned by the server is displayed so that the first user can determine the target product to be published to at least one second service site based on the received recommended products.

10. The method according to claim 9, characterized in that Also includes: A service interface for one-click multi-service site product publishing is provided, so that after the first user determines the target product, multiple target second service sites selected by the first user are determined through the service interface, and after receiving the one-click publishing request of the first user, product publishing related data of the target product is collected from the first service site, and the collected data is respectively mapped to target data that conforms to the publishing rules of the multiple target second service sites, and the target product is published to the multiple target second service sites by calling the product publishing interfaces of the multiple target second service sites.

11. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method described in any one of claims 1 to 10 are implemented.

12. An electronic device, characterized in that: include: one or more processors; as well as A memory associated with the one or more processors, the memory being used to store program instructions, wherein the program instructions, when read and executed by the one or more processors, execute the steps of the method described in any one of claims 1 to 10.

13. A computer program product comprising a computer program / computer executable instructions, characterized in that: When the computer program / computer executable instructions are executed by a processor in an electronic device, the steps of the method according to any one of claims 1 to 10 are implemented.

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