111 results about "Product description" patented technology

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.

In some embodiments, a method for generating customized products in collaboration with live designers is disclosed. The method comprises: receiving, at a computer collaboration computer, a request, from a first user interface that executes on a first user device associated with a first user, for assistance in collaborating on an interactive design; wherein the request comprises collaboration parameters; in response to receiving the request, automatically determining one or more designer profiles, each designer profile satisfying one or more of the collaboration parameters; in response to selecting a particular designer profile from the one or more designer profiles: automatically enabling a collaboration on the interactive design between the first user and a second user who has the particular designer profile; wherein the collaboration between the first user and the second user comprises automatically generating and updating product description data having a plurality of key-values pairs associated with the interactive design.

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.

The invention relates to the technical field of intelligent commodity management, in particular to an intelligent commodity multi-dimensional comparison method and system based on multi-modal analysis. The method comprises the following steps: acquiring a text input by a user; performing similar commodity screening in a preset commodity database based on the user input text to generate similar commodity screening data; performing commodity display definition evaluation on the similar commodity screening data to generate commodity first-dimension evaluation data; obtaining commodity description parameters; carrying out commodity three-dimensional modeling on the multi-modal feature commodity by utilizing the commodity description parameters based on the image features of the commodity, and generating a commodity display three-dimensional model; and performing commodity display accuracy evaluation on the commodity display three-dimensional model to generate commodity second dimension evaluation data. According to the method, multi-dimensional evaluation, dynamic display adjustment and a visual report are introduced, so that the comprehensiveness of commodity comparison is improved.

The invention relates to an intelligent product recommendation method and system based on a large model. The method comprises the steps of obtaining user information of a user to be recommended and product information of a product to be recommended; extracting user semantic features, user behavior features and natural language understanding features of the user information and product description features and product category features of the product information by using the large model, and performing feature fusion to obtain fused features; and obtaining a target recommendation score of each product relative to the to-be-recommended user, and recommending the product corresponding to the target recommendation score higher than a preset score to the to-be-recommended user as a target product. According to the method, the Transform model, the GNN model and the LLM model are combined, analysis and feature fusion of the user information and the product information are achieved, the extraction precision of the user semantic features and the product description features is improved, the user behavior features and the product category features can be effectively captured, and therefore the recommendation accuracy and the personalized level are improved.

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.

To realize high-quality customer service according to the needs of users.SOLUTION: A system comprises: means for utilizing generative AI system and generative AI to adjust product descriptions on the basis of attribute information and past purchasing tendency of a user; means for collecting requests of the user and providing answers or explanations to questions in a chat format; and means for generating an installation image picture after the purchase.SELECTED DRAWING: Figure 1

The invention provides an e-commerce product category information processing method and system based on a vector database, and the method comprises the steps: receiving product image information and product description information of a to-be-shelved product uploaded by a user through terminal equipment, and displaying a compliance detection control on a product compliance detection interface; receiving a trigger operation on the compliance detection control, sending a compliance detection request message to a server, and indicating the server to perform a compliance detection operation; receiving a compliance detection response message from the server; when the compliance state of the product description information and the non-compliance state of the product image information are detected, risk prompt information is displayed on a product compliance detection interface, and the risk prompt information is used for representing that the to-be-put-on-shelf product belongs to the forbidden product category. Therefore, in the application, the image detection method can be used to accurately recall illegal products under the condition that the product described by the text is inconsistent with the product shown by the actual image, and the comprehensiveness and accuracy of compliance detection are improved.

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.

The invention discloses an image generation method and device, a model training method and device, electronic equipment and a computer readable storage medium. The method comprises the steps of obtaining product description information and a product pattern corresponding to a target product of a to-be-generated display graph; generating background image description information corresponding to the product description information through a pre-trained text generation model based on the product description information; and based on the product pattern, through a pre-trained text guide image generation model, and by taking the background image description information as a guide text of the text guide image generation model, generating a display image for adding a background to the product pattern. Through the scheme provided by the invention, the high-quality display graph with the background matched with the product is more efficiently generated, and meanwhile, the labor cost required by background generation is saved.

The invention relates to a product data processing method and device, computer equipment, a storage medium and a computer program product. The method provided by the embodiment of the invention can be applied to the vehicle-mounted field. The method comprises the following steps: acquiring text information for describing a standardized product unit; constructing a product description statement of the standardized product unit based on the text information; extracting statement embedding characteristics of the product description statements by comparing and learning a statement embedding model; searching a similar vector retrieval library for a target similar vector which meets a similar condition with the statement embedding feature; and when the target similar vector is found, determining that the standardized product unit is a repeated product. According to the method, the accuracy of feature extraction can be effectively improved, the similar vectors of the similar targets are searched in the similar vector retrieval library, and the accuracy of repeated judgment of standardized product units is ensured.

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.