50 results about "Product description" patented technology

The invention relates to the technical field of cloud services, in particular to a purchase quotation method and system based on clustering and association rules, and the method comprises the following steps: collecting historical purchase order data of internal products of an enterprise and external related market data, the historical purchase order data comprising product description; carrying out cleaning and standardized preprocessing on the collected data; the method has the advantages that through clustering based on product description, products such as servers and switches with different descriptions but similar essence are sorted and classified, data chaos caused by description differences is eliminated, and association rules mined on the basis are more targeted. Compared with a procurement quotation mode purely depending on experience, the procurement quotation method has the advantages that the procurement quotation accuracy is greatly improved, an enterprise can purchase required products at a more reasonable price, and cost waste caused by price judgment errors is avoided.

An embodiment of the disclosure provides a system for recommending at least one product to a user device. The system is configured to: (a) receive N product descriptions, each product description in the N product descriptions including an image; (b) extract, for each image in the N product descriptions, a plurality of features including machine-understandable visual parameters; (c) arrange a subset of the N product descriptions relative to a surface in a grid-like manner according to the machine-understandable visual parameters; (d) providing, to the user device, the grid-like arrangement of the subset of the N product descriptions; (e) receive, from the user device, signals indicating an interaction relative to the surface; (f) in response to the signals, rearrange the subset of the N product descriptions relative to the surface; and (g) send, to the user device, the rearranged subset of the N product descriptions.

An object of a system according to an embodiment is to efficiently generate a description or a landing page of a product.SOLUTION: A system includes an explanation sentence generation part, a layout proposal part, and a page generation part. The description generation unit automatically generates a description based on the specifications and characteristics of the product input by the seller. The layout proposing unit proposes an optimum page layout and design template based on the specifications and characteristics of the merchandise. The page generation unit generates a landing page by combining the description generated by the description generation unit and the design template proposed by the layout proposal unit.SELECTED DRAWING: Figure 1

A dialogue-based artificial intelligence system for interaction management in digital commerce, consisting of: a housing that encloses an arrangement of interconnected printed circuit boards; a conversation processing unit arranged on a first circuit board, comprising a syntactic parsing processor for generating hierarchical parse structures from user input texts, a semantic embedding processor for generating high-dimensional semantic vectors from the parsed structures, and a dialogue state calculation circuit for managing a multi-level conversation memory using clocked recurrent memory buffers; a retrieval augmentation unit arranged on a second circuit board, comprising a vector indexing processor for storing and retrieving domain-specific embedding vectors, a similarity calculation processor for calculating cosine-based semantic distances between the semantic vectors and vectors stored in a knowledge store, and a document reconstruction structure for merging retrieved text segments into a unified context representation; a generative response unit arranged on a third circuit board, comprising a transformer execution processor for executing a quantized transformer architecture for natural language generation, a context fusion circuit for merging the unified context representation with the semantic vectors to generate response conditioning data, and a hallucination suppression circuit for comparing the generated text with retrieved text segments and attenuating content divergence beyond a predetermined semantic threshold; a domain integrity check unit that is communicatively connected to the generative response unit, wherein the domain integrity check unit includes a regulatory restriction store that stores domain-driven rules, and a conformance assessment processor configured to check generated responses for conformance with the domain-driven rules, blocking non-conforming segments or replacing them using verified text content from the retrieval extension unit; a knowledge storage array comprising at least one static domain repository for storing commercial specifications, regulatory guidelines, product descriptions, and domain documents, a dynamic interaction buffer for storing anonymized conversation state data, and a vector storage partition for storing embedding vectors that can be retrieved by the vector indexing processor; and a multi-interaction device consisting of a touchscreen panel, an array microphone, a speaker structure and a contactless communication interface, each configured to receive multimodal user inputs or generate multimodal system outputs.

Systems, methods, and other embodiments associated with a centralized product catalog with standardization from independent data sources are described. In one embodiment, a computing system is configured to access and download product information for a plurality of products that is maintained in a non-standard format. Metadata is identified and extracted. Feature vectors may be generated from the metadata and used to predict and assign class codes to products. The product attributes are extracted from each product, which include a non-standard product description. The non-standard product description is converted into a standardized text description. Standardized records are generated for each product record and a centralized database is generated with the standardized records.

The invention relates to a label data processing method and device, equipment and a storage medium. The method comprises the following steps: performing label mining processing on a plurality of data sources associated with a product service, determining a plurality of first product labels, and respectively determining product categories to which the plurality of first product labels belong; and for each product category, determining respective tag popularity values of the plurality of first product tags belonging to the product category on the plurality of data sources, and screening out at least one second product tag from the first product tags belonging to the product category according to the tag popularity values. And obtaining a product description template matched with the product category, obtaining label discrimination information for each second product label, the combined product description template and the second product label, carrying out label consistency discrimination processing on the label discrimination information, and taking the second product label as product label information of the product category when determining that the labels have consistency. By adopting the method, the mining and distinguishing efficiency of the product labels can be improved.

A system is provided.SOLUTION: A system comprising: means for a user to upload an item image and an item description; means for a server to receive and store the item image and the item description; means for the server to analyze the item image and the item description using a generative AI model to generate an assessment result; and means for the server to provide the assessment result to the user.SELECTED DRAWING: Figure 1

The application provides a kind of text and video generation method and system based on cross-modal semantic mapping, it is related to data processing technical field, the method includes: step 1, input product description text, execute hierarchical semantic decoupling, extract core object noun, attribute adjective and scene adverb, and construct hierarchical structured semantic tree;Step 2, based on hierarchical structured semantic tree, execute the area exploration of fine-grained modifier semantics, identify the associated area of attribute adjective or scene adverb, generate semantic adaptation correction factor for each associated area.The application realizes the automatic generation of product description text to semantic precision, time sequence coherent dynamic video by hierarchical semantic decoupling, area semantic mapping, cross-modal feature fusion and dynamic space-time calibration, ensures that visual effect is consistent with text semantics.

This invention relates to the field of cross-border trade technology, specifically to an intelligent order generation method and system based on dynamic container matching. It includes: acquiring a user's terminal access request and extracting the user's nationality metadata; mapping product information data in the source language to product description data in the target language that matches the nationality metadata; receiving the user's order request and generating a pending verification order, where each target product in the pending verification order is associated with real-time updated 3D geometric feature data; performing multi-dimensional spatial stacking simulation and volume superposition calculation to generate total order volume data including a recommended stacking map; dynamically matching the total order volume data with a preset set of volume parameters for various standard container types to solve for the optimal container combination scheme that fits the total order volume data, and sending it to the user's terminal for confirmation to complete the automated order entry. This invention significantly improves the accuracy of orders and the efficiency of container loading in cross-border trade.

An artificial intelligence (AI) engine assists in the creation of product descriptions. For example, a system that includes the AI engine receives raw data including a description of a product and generates a search query based on the raw data to search the internet for possible product descriptions that satisfy the query. The system can parse the product descriptions into categories of content that map to sections of a template and creating the custom product description based on a selection and combination of the categories of content of the product descriptions matched to sections of the template. An AI engine is trained based on the selection and combination of the categories of content and ranks the content based on a frequency of being included in custom product descriptions such that the system can later recommend content in accordance with the ranking for creating a custom product description.

The invention discloses a data processing method and electronic equipment, which are applied to the technical field of natural language processing, and the data processing method comprises the following steps: obtaining a first product description of a target product, the first product description being generated based on a multi-dimensional vector and a first weight vector of the target product, the first weight vector is used for quantifying the influence degree of the feature of each dimension in the multi-dimensional vector on the generation of the first product description. Based on a searchable index corresponding to the first product description, the first weight vector is adjusted, a second weight vector is obtained, and the searchable index comprises whether the large model can retrieve the retrieval effect of the target product based on the related features of the target product or not. And based on the multi-dimensional vector and a second weight vector, generating a second product description of the target product, the second weight vector being used for quantifying an influence degree of the feature of each dimension in the multi-dimensional vector on generation of the second product description.

The application provides a process drawing automatic drawing method and device, electronic equipment and storage medium, and belongs to the technical field of manufacturing process. The method comprises the following steps: obtaining order data of a target product; wherein the order data comprises product model data and product size data; matching the product model data with a preset drawing template library to obtain a target drawing template; wherein the target drawing template is provided with a target template description code and a target template size formula; matching the product model data with a preset material database to obtain target material data; substituting the target material data into the target template description code to obtain a target product description; substituting the product size data into the target template size formula to obtain a target product size; and integrating the target product description and the target product size into the target drawing template to obtain a target process drawing. The embodiment of the application aims to shorten the process drawing time, improve the process drawing efficiency and accuracy.

The system according to the embodiment comprises a collection unit, a shaping unit, an answering unit, and a generation unit. The collection unit collects user attribute information and past purchase tendencies. The shaping unit shapes product description text based on the information collected by the collection unit. The answering unit generates answers to user questions based on the product description text shaped by the shaping unit. The generation unit generates a post-purchase installation image based on the answer generated by the answering unit.

The application discloses a fault knowledge text extraction method and device, equipment and a medium, wherein the fault knowledge text extraction method comprises the following steps: sequentially performing subject entity prediction and object entity prediction on product description text to obtain a first prediction result of a subject entity and a first prediction result of an object entity, and sequentially performing object entity prediction and subject entity prediction on the product description text to obtain a second prediction result of the subject entity and a second prediction result of the object entity; extracting a fault subject entity in the product description text based on the first prediction result of the subject entity and the second prediction result of the subject entity, and extracting a fault object entity in the product description text based on the first prediction result of the object entity and the second prediction result of the object entity; and constructing a fault knowledge text based on the fault subject entity and the fault object entity. The above scheme can improve the extraction effect of fault knowledge.

This application provides a blockchain-based digital product verification method and related equipment, enabling decentralized third parties to perform tamper-proof and auditable automated verification of the identity and ownership of digital products. The method includes: extracting features from digital product data and encrypting and encoding them to generate a product identifier and corresponding product description metadata; digitally signing the product identifier and product description metadata based on the issuer's identity and constructing blockchain data to generate smart contract data corresponding to the digital product data; verifying the compliance of product operation request instructions based on the smart contract data; and modifying the smart contract data according to the verified product operation request instructions.

The application discloses a kind of welding process management method and system.Welding process management method: establish engineering module, according to enterprise description information-product description information-component description information-welding seam description information stores data, each welding seam description information is associated with a welding process, and welding seam description information includes welding seam basic information, welding setting information, joint setting information and process library selection information, and welding seam basic information includes welding seam name and welding seam number, and welding seam number is unique;Database module is established to store welding process;Establish extension module, and extension module is communicated with the sensor of robot and database module respectively.The application is convenient and efficient management, collection, accumulation mature automatic welding process data, forms the "process library" of user or integrator oneself and constantly enriches;Greatly reduce welding process debugging difficulty, shorten project debugging cycle;Speed up project debugging, delivery schedule, improve work efficiency.

A system is provided.SOLUTION: A system including means for inputting target information and a product description, means for transmitting the input information to a generation model, means for generating a proposed advertisement using the generation model, means for receiving and displaying the generated proposed advertisement, means for selecting the displayed proposed advertisement, means for generating a presentation material on the basis of the selected proposed advertisement, means for generating a presentation video by adding audio to the presentation material, means for approving the generated presentation video, and means for uploading the approved presentation video onto a web.SELECTED DRAWING: Figure 1

The present disclosure discloses an image generation method and apparatus, a model training method and apparatus, an electronic device, and a computer-readable storage medium. The image generation method comprises: acquiring product description information and a product image corresponding to a target product for which a display image is to be generated; on the basis of the product description information and by means of a pre-trained text generation model, generating background image description information corresponding to the product description information; and on the basis of the product image and by means of a pre-trained text-guided image generation model, generating a display image with a background added for the product image, the background image description information being used as a guidance text for the text-guided image generation model. The solution provided by the present disclosure enables efficient generation of a high-quality display image with a product-matching background, while reducing labor costs required for background generation.

The present invention relates to an apparatus and a method for generating a product detail page on the basis of artificial intelligence. The apparatus for generating a product detail page on the basis of artificial intelligence, according to one aspect of the present invention, comprises: a question database for storing question content of each of preset question items, and a question identifier for distinguishing each question; an answer acquisition unit for displaying the question content of each of the question items stored in the question database, acquiring a voice answer to each question and converting same into text, and matching the converted text to the question identifier of each question item and storing same; a product description prompt generation unit, which uses the text stored in the answer acquisition unit so as to generate a product description prompt including, as content, answers to the preset question items; an integrated prompt generation unit for generating an integrated prompt by combining a pre-stored additional description prompt with the product description prompt in order to guide the generation direction of a product detail page; and a product detail page generation unit, which inputs the integrated prompt into a preset generative model so as to generate and output the product detail page.

The invention relates to a content publishing method and device, equipment and a storage medium, and the method comprises the steps: obtaining product configuration data of a to-be-published product, the product configuration data comprising target publishing time; storing the product configuration data into a target database, and generating a target event message for the product configuration data; product description information of the to-be-released product is also stored in the target database; sending the target event message to a publishing end, so that the publishing end publishes the push content according to the target publishing time in response to the target event message; wherein the push content is generated by the product configuration data extracted from the target database by the publishing end and the product description information of the to-be-published product. By adopting the method, the content publishing efficiency can be improved.

We provide the system. [Solution] A means for inputting product video data, A means for storing the aforementioned product video data, A means of referring to a database of past listing videos, A means for comparing the aforementioned product video data with video data in the aforementioned past listing video database to determine the condition of the product, A means for setting a fair price for a product based on the aforementioned product condition, A means for generating a product description based on the aforementioned product condition and the aforementioned appropriate price, A means for presenting the aforementioned product condition, the aforementioned appropriate price, and the aforementioned product description to the user, A system that includes this.

The present application relates to the technical field of intelligent product selection, and particularly relates to an intelligent product selection and infringement early warning method based on cross-platform mining and a knowledge graph, comprising: obtaining product description texts on multiple platforms, user interaction behavior sequences and market dynamic indicators; using natural language processing to analyze the product texts and extract a technical feature vector, combining time series analysis to generate a product heat index, and calculating market saturation based on market dynamics to form a product market potential evaluation indicator; constructing a multi-dimensional product knowledge graph based on the technical feature vector, and selecting candidate products according to the potential indicator; mapping the candidate product technical vector to the knowledge graph to quantitatively generate a patent infringement risk evaluation value; when the risk exceeds a threshold value, generating a design avoidance scheme based on the technical substitution path and design variant scheme in the graph; and outputting intelligent product selection decision support information. The present application improves platform product selection efficiency and accuracy.

We provide the system. [Solution] The means by which users input product information, A method for automatically generating product descriptions and PR texts in Japanese using a generative AI model, A method for translating the generated product description and PR text into English using a translation API, A method for analyzing product images using an image recognition model to determine export restrictions in various countries, A method for calculating shipping costs to each country and proposing a recommended selling price, A means of automatically generating various legal policies and translating them into Japanese and English, A system that includes a means to automatically generate optimal SEO measures using an SEO optimization model.

A method is provided for generating product description information for a product. The method includes receiving a request to generate the product description information, retrieving product data for the product, and determining user instructions indicated in the request. The method further includes retrieving one or more contextual datasets curated with information relevant to the product. The one or more contextual datasets include one or more of: search engine optimization data, brand standards data, industry or organization norms data, and target consumer preferences data. The method further includes generating the product description information by providing the product data, the one or more user instructions, and the one or more contextual datasets as inputs to a data model to cause the data model to output the product description information. The method further includes providing the product description information for display on a user interface of a device or application.

Methods and systems are provided for using generative AI to optimize product search queries. In embodiments described herein, product descriptions and product images for a plurality of products are obtained. A multi-modal style classification model classifies each product into a corresponding style of a plurality of styles based on the product's product description and product image. Relationships of each product to other products in the plurality of products are stored in a knowledge graph based on the corresponding style of each product and the corresponding product description of each product. An image is generated by a text-to-image diffusion model with a set of products of the plurality of products based on the relationships of each product of the plurality of products to other products in the plurality of products.

The application relates to an advertisement text optimization method and device, equipment, medium and product. The method comprises the following steps: obtaining a product picture and a product description text of a target product; matching a plurality of creative advertisements in an advertisement creative library according to the product picture to obtain creative texts; performing word frequency statistics based on the creative texts to determine the distribution probability of each word segmentation, and mapping the distribution probability to the reference probability distribution of a reference word table referenced by a corresponding advertisement text generation model; applying the advertisement text generation model to generate a text feature sequence corresponding to the advertisement text based on the product description text, wherein the generation probability distribution of a target word element in the reference word table is obtained at each time step, and the target word element is determined after the generation probability distribution is corrected based on the reference probability distribution. The application can determine the creative text by using the product picture, and can guide the advertisement text generation model to generate the advertisement text by using the word frequency features of the creative text, so that the quality of the generated advertisement text is better.

To provide technology that supports companies' marketing activities. [Solution] An information processing system comprising: a VoC acquisition unit that acquires VoC data from customers; and an action generation unit that inputs the VoC data, labels assigned to the VoC data, and prompts including detailed product descriptions into a large-scale language model, and generates action hints for corporate activities based on the VoC data.

This invention relates to the field of product information management technology, specifically to a method and system for intelligently generating product description text. The method includes: acquiring attribute information of a target product and its competitors across various dimensions; obtaining fundamental key factors for each dimension's attributes based on differences in attribute information between competitors in the same dimension, sales performance of competitors, and overall differences in attribute information between the target product and competitors; filtering comparable products for the target product in each dimension based on differences in attribute information between the target product and competitors; determining the key descriptive factors for each dimension based on the number of competitors belonging to the same category in every pair of dimensions, the proportion of comparable products in each dimension, and the fundamental key factors, thereby generating the product description text. This invention improves the personalization, user appeal, and conversion rate of the generated product description text.

A method and apparatus for real-time animation and customization of products on a client-side device are disclosed. The technique involves receiving external inputs as identifier+value pairs, updating key -value pairs of a product description within a functional data container, and triggering resources to generate image frames representing customization stages. These frames are displayed as an animation to visualize product customization. The functional data container and product options are stored as identifier+value pairs in the device's memory, allowing local editing and updating without a web service connection. The final instructions are pushed to initiate manufacturing, with system optimization to mitigate connectivity issues and enhance performance. The apparatus includes a processor, memory, display, and communication interface to support these functions, ensuring data security and user experience stability. The system supports various data formats and employs data compression, with optional synchronization with cloud services and machine learning algorithms to optimize customization.

Systems, methods, and other embodiments associated with a centralized product catalog with standardization from independent data sources are described. In one embodiment, a computing system is configured to access and download product information for a plurality of products that is maintained in a non-standard format. Metadata is identified and extracted. Feature vectors may be generated from the metadata and used to predict and assign class codes to products. The product attributes are extracted from each product, which include a non-standard product description. The non-standard product description is converted into a standardized text description. Standardized records are generated for each product record and a centralized database is generated with the standardized records.