69 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.

In some embodiments, a computer-implemented method for role-based and attribution-tracking collaborative design based on manufacturing constraints is disclosed. A method comprises: receiving product description data for an interactive design; wherein the product description data for the interactive design comprises data for generating a graphical visual representation of a physical product that is capable of custom manufacture with a plurality of variable product attributes; parsing the product description data to identify a plurality of global-key-values pairs journaled within the product description data and associated with contributors; based on, at least in part, the plurality of global-key-values pairs, constructing an ownership-attribution tree; based on the ownership-attribution tree, generating manufacturing instructions for customizing the physical product and according to the plurality of variable product attributes; and transmitting the manufacturing instructions to a product customization server to cause a manufacturing entity to proceed with generating a customized product based on the manufacturing instructions.

Disclosed in the present description are a text intention recognition model training method and apparatus, and a text intention recognition method and apparatus. The method comprises: using a product description sample text and a reference product selection condition corresponding to the product description sample text to train an initial text intention recognition model, so that the initial text intention recognition model adjusts model parameters on the basis of a learned text intention corresponding to the product description sample text, and a sample product selection condition output by the initial text intention recognition model can thus progressively align with the reference product selection condition, thereby obtaining a target text intention recognition model. Thus, by means of the target text intention recognition model, a target product selection condition for a product is quickly determined on the basis of the description of a user for the product.

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.

The invention provides an image-text video generation method and system based on cross-modal semantic mapping, and relates to the technical field of data processing, and the method comprises the steps: 1, inputting a product description text, executing hierarchical semantic decoupling, extracting core object nouns, attribute adjectives and scene adverbs, and constructing a hierarchical structured semantic tree; and step 2, based on the hierarchical structured semantic tree, executing region exploration of fine-grained modifier meanings, identifying associated regions of attribute adjectives or scene adverbs, and generating a semantic adaptation correction factor for each associated region. According to the method, through hierarchical semantic decoupling, regional semantic mapping, cross-modal feature fusion and dynamic space-time calibration, automatic generation of a dynamic video with accurate semantics and coherent time sequence from a product description text is achieved, and it is ensured that the visual effect is consistent with the text semantics.

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 provides an electronic product purchase price analysis method, system and device and a medium, and belongs to the technical field of artificial intelligence and supply chain management. The method comprises the following steps: obtaining a product description, analyzing the product description through a multi-level product feature extraction mechanism, and generating a structured specification feature of a product; based on the structured specification features, analyzing historical data by using a price sensitivity analysis model to determine the weight coefficient of each specification feature on the influence of the price, and adjusting the weight coefficient according to the market event and the time decay factor; a weighted similarity matching algorithm is adopted to search for selected products in a historical product library, and price information of candidate products is acquired; and performing time decay weighted aggregation on the candidate products with the price conflicts, and determining product price information based on the updated price information. According to the method, the product features are extracted in a multi-level manner, the weight of each feature is dynamically generated, and matching is performed based on the multi-dimensional weighted similarity, so that the accuracy of price analysis is effectively improved.

The invention relates to a foreign trade product description deduplication batch processing method based on single-pass clustering, and relates to the technical field of data processing, and the method comprises the steps: setting a product description feature vector similarity threshold, creating a product description full-quantity class cluster center vector library, and storing a feature vector of the first product description as an initial class cluster center; extracting a feature vector described by a new batch of products, and calculating the similarity between the feature vector and a full-quantity class cluster center; dividing the new batch of product descriptions into two groups according to a similarity threshold, wherein the two groups are a potential new class cluster center group and an attributable group; performing strict single-pass clustering on each potential new-class cluster center according to an original occurrence sequence, generating a temporary new-class cluster center vector library, and merging the temporary new-class cluster center vector library into a full-quantity library; associating the product description of the attributable group to the nearest class cluster center in batches; and after the clustering is completed, setting a de-duplication threshold value according to a service requirement, and de-duplication of the product description higher than the de-duplication threshold value in the cluster. The method has the technical effect that the foreign trade product description de-duplication efficiency can be improved.

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 invention provides a poster generation method and device, computer equipment and a storage medium. The method comprises the steps of obtaining product description information input by a user; according to the product description information, determining a product type, a target poster copywriting and a target poster element; selecting a corresponding target layout template according to the product type; and generating a target poster according to the target poster copywriting, the target poster element and the target layout template. According to the scheme, the automatic process from user input to complete poster generation is achieved, through automatic poster element recommendation, automatic copywriting generation and automatic layout adjustment, the user can easily complete poster design, the operation steps and design difficulty of the user are reduced, the poster manufacturing efficiency is greatly improved, the design cost is reduced, and the user experience is improved. The product propaganda requirement can be better met, and the method is particularly friendly to users without design experience such as peasant households and small commercial tenants.

In some embodiments, a system and a computer-implemented method for role-based collaborative design based on manufacturing constraints are disclosed. A method comprises: receiving, at a computer collaboration system, an electronic digital editing invitation from a first user interface that executes on a first user device associated with a first user, the editing invitation comprising inviting a second user to collaborate on a digital electronic interactive design as an editor, the interactive design comprising a graphical visual representation of a physical product that is capable of custom manufacture with a plurality of variable product attributes; transmitting to a second user device of the second user, the product description data for rendering the interactive design in a second user interface executing on the second user device; receiving a first modification to the interactive design from the second user interface; automatically generating a first updated product description data based on the first modification.

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 embodiment of the invention provides an information updating method and device, electronic equipment and a storage medium, and relates to the technical field of financial science and technology. The method comprises the steps that first product description information of a first insurance product, second product description information of a second insurance product, user behavior information of a user who purchases the first insurance product and historical claim settlement information of the user are acquired, and the first product description information comprises multiple pieces of first sub-information; the second product description information comprises a plurality of pieces of second sub-information; on the basis of the multiple pieces of second sub-information, the user behavior information and the historical claim settlement information, a parameter adjustment scheme corresponding to the first product description information is generated, and the parameter adjustment scheme comprises first target sub-information in the multiple pieces of first sub-information and a recommendation value of the first target sub-information; and according to the parameter adjustment scheme, updating the parameter value of the first target sub-information to the recommended value. The embodiment of the invention can improve the updating efficiency of the product description information.

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.

1. Name of the Design Product: Graphical User Interface for Querying Policy Compliance Detection of Electronic Devices. 2. Use of the Design Product: Used to detect whether a product complies with policy regulations on an electronic device. 3. Design Key Points of the Design Product: Lies in the graphical user interface. 4. Picture or Photograph that Best Illustrates the Design Key Points: Variant State Diagram 1. 5. Use of the Graphical User Interface: Used to retrieve and compare product information and detect whether the product complies with relevant policy regulations. 6. Other Situations Requiring Explanation - Reference Diagram Explanation: The front view is used to display policy update information. By sliding the scroll bar on the right side of the front view, the policy update information can be scrolled for viewing. By clicking the close button in the upper right corner of the front view, it can jump to Variant State Diagram 1; Variant State Diagram 1 is used to input product information to be detected. By clicking the picture upload area on the left, a product picture can be uploaded. By clicking the text input area on the right, a product description can be entered and the country and platform for product listing can be selected. Subsequently, by clicking the start retrieval button on the right, it can jump to Variant State Diagram 2; Variant State Diagram 2 is used to display the picture retrieval and comparison information of the product. By checking the proofreading result option on the left and then clicking the view detection result button on the right, it can jump to Variant State Diagram 3; Variant State Diagram 3 is used to detect whether the product complies with the policy regulations of relevant countries and platforms and provides relevant policy information. By clicking the policy compliance retrieval button on the left, it can jump back to the front view.

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.

The invention relates to a content output method and device, a readable medium and electronic equipment. The method comprises the following steps: determining commodity description information; determining reference script content from a preset video script library according to the commodity description information, wherein the video script library is used for storing script content of a video; and outputting the target script content according to the reference script content and the commodity description information. Through the technical scheme, the script content can be automatically generated according to the commodity description information and the reference script content, the script content generation difficulty is reduced, and the script content generation efficiency is improved. On the other hand, the reference script content is determined from the video script library according to the commodity description information, so that the association degree between the reference script content and the commodity corresponding to the commodity description information is higher, and when the script content is generated according to the reference script content, the generated script content can be more fit with the commodity; and the relevance between the script content and the commodity and the quality of the script content are improved.