27 results about "Product property" patented technology

An online system maintains a product catalog including products from various retailers, from which users can purchase products. Each of the products are associated with attributes such as a size value and a size unit of measure (UOM). The online system identifies products with erroneous product attributes using taxonomy attribute value homogeneity. The online system performs an inference task in conjunction with the model serving system or the interface system to infer a correct size value and size UOM of the product. The online system evaluates the accuracy of the inferred size value and size UOM of the product. Responsive to determining that the inferred data is accurate, the online system updates the product catalog with the corrected product attribute information.

The embodiment of the invention provides a target user screening method and system and a medium, and the method comprises the steps: carrying out the screening strategy analysis according to a target marketing scene and target product attribute information, so as to determine a target user screening strategy; based on a preset natural language model, vector coding is carried out on the target user screening strategy, and a target product coding vector is obtained; furthermore, similarity screening is performed according to the target product coding vector and a preset user vector database, so that multiple groups of first user coding vectors matched with the target product coding vector are determined from the preset user vector database. And finally, according to each first user coding vector and the target product coding vector, determining a target user. Therefore, the product features of the target product and shopping behavior preferences of different users can be represented more comprehensively, so that the screening accuracy of the target users is improved.

The invention relates to a method for post-processing a three-dimensional object, a post-processing system and a three-dimensional printing system. The method for post-processing the three-dimensional object comprises the following steps: acquiring material information of the three-dimensional object; obtaining product information of the three-dimensional object; outputting a post-processed technological parameter information set based on the material information and the product information; the process parameter information set comprises at least one of a radiation parameter, a heating parameter and a fluid supply parameter; and post-processing the three-dimensional object by using the process parameter information set. According to the method for post-processing the three-dimensional object, customized scheme development can be carried out according to different requirements of various material characteristics, product characteristics and various application scenes, different automatic post-curing schemes are matched, automatic generation of a post-processing process scheme can be achieved, controllable intelligent production can be achieved, and the production efficiency is improved. And the possibility of errors caused by artificial factors is greatly reduced.

A method and system for publishing products on multiple platforms. The method includes: determining, in response to a platform determination instruction, ports of e-commerce platforms corresponding to the platform determination instruction; obtaining initial product data in response to a first publishing instruction, and generating first publishing information based on the initial product data; identifying the initial product data based on a preset model to generate second publishing information; detecting a blank mandatory item related to product attributes in a publishing page of each of the e-commerce platforms, and setting a preset sequence option of the blank mandatory item as third publishing information; and sending the first publishing information, the second publishing information, and the third publishing information to the ports of the e-commerce platforms to publish a product corresponding to the initial product data on each of the e-commerce platforms.

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 discloses a method for obtaining a user demand based on a user comment. The method comprises the following steps: obtaining a user comment of a specific product type; extracting product attributes from the user comments; segmenting the user comments according to product attributes; determining the most important product attribute; selecting a plurality of comments related to the most important product attributes; and identifying the user demand from the plurality of selected comments. According to the method for obtaining the user demands based on the user comments, the core demands of the users can be accurately recognized, an efficient and accurate demand collection method can be provided for designers, and innovative design of products is assisted.

The invention belongs to the technical field of production coding management, and particularly relates to a product full-life-cycle coding management method and system.The method comprises the steps that firstly, a coding resource pool is generated based on product attributes, and the coding resource pool comprises product full-life-cycle coding rules; calling the coding resource pool in each stage of the product production process, and coding each stage of the production process; storing the code of each stage in the production process of each product in a code management system; the finished product is finally coded, and the final code is stored in the corresponding position of the code management system and corresponds to the code of each stage in the production process; and finally, printing the final code of the finished product, and pasting the final code to a specified position of the product. The code management of each production stage of the products of the enterprise is realized, the code management of the whole life cycle of the products is realized, and the tracing of each production link of the inferior-quality products is further realized through the code management system of the enterprise.

The application provides an e-commerce demand analysis method and system based on a large language model, which optimizes product characteristics and market strategies by analyzing user-generated content (UGC). The method includes: first, collecting UGC data such as product reviews and user Q&A from e-commerce platforms. Then, using a large language model to deeply analyze these data, extract product attributes and sentiment information, and convert them into structured data. Next, generate a dual importance matrix at the market level to evaluate the importance of product attributes in purchase decision and post-purchase satisfaction. Further, for the products of the merchant, calculate the actual performance value of the attributes, generate a dual importance-performance matrix at the product level, and identify optimization needs. Finally, the analysis results are visualized and a report is generated to provide market insights and decision support for merchants. This method helps merchants accurately position product optimization direction and improve market competitiveness.

The present invention discloses a product data structure configuration method and system. The present invention integrates a product data structure model by setting a product type table, a product table, a tariff table, a tariff product relationship table, an attribute table, a tariff attribute relationship table, and a product attribute relationship table. By configuring the product value of the product type table and the product information in the product table, and associating the product value with the product information, by configuring the tariff information of the tariff table and the attribute information of the attribute table, and establishing the first associated content through the tariff product relationship table, establishing the second associated content through the tariff attribute relationship table, and establishing the third associated content through the product attribute relationship table, both single-price product services and personalized tariff product services can be supported, providing applicability and diversity. As a product data structure configuration method and system, the present invention can be widely used in the field of Internet technology.

The invention discloses a filling uniform shaking control method and device based on filling characteristics, and relates to the technical field of intelligent control. The method comprises the steps that property information of a to-be-filled product is called for evaluation, and multiple pieces of filling information are set according to an evaluation result; traversing the property information of the to-be-filled product, matching the property information with the parameters of the filling container, and determining N filling characteristics of the to-be-filled product according to a matching result; performing shaking-up judgment on the product to be filled, and generating a shaking-up instruction; performing uniformity identification on the to-be-filled product to generate a uniform identification result; formulating a shaking strategy according to the property information of the to-be-filled product; and simulating and executing a shaking strategy to perform uniformity feedback, dynamically adjusting the shaking strategy according to a feedback result in combination with the filling quality parameters, and generating a shaking optimization strategy to perform intelligent shaking control on the to-be-filled product. The technical problem that in the prior art, the uniformity of products is difficult to guarantee in the filling process is solved, and the technical effect of improving the uniformity of the filled products is achieved through intelligent uniform shaking control.

To prepare a shelf allocation pattern which makes the best use of the experience of a person in charge of shelf allocation and does not give an unnatural feeling by using a general information processor.SOLUTION: In this shelf allocation pattern automatic preparation method, the shelf information and merchandise information of an existing shelf allocation pattern and a shelf allocation pattern to be prepared (called preparation pattern) are inputted to an arithmetic means, the automatic preparation processing of the shelf allocation pattern is performed, and the preparation pattern is outputted. The input data to the shelf allocation pattern automatic generation processing includes information on a commodity group (referred to as a minimum granularity continuous commodity group) included in the same attribute of the lowest layer when commodities are classified into a hierarchical structure by attributes in the existing shelf allocation pattern and continuous in one stage of the shelf, and the attribute arrangement processing for arranging the commodities according to the hierarchical structure of the attributes of the commodities and the commodity selection and arrangement processing for selecting and arranging the commodities in the lowest layer attribute are performed. In the commodity selection and arrangement processing, commodities included in the minimum granularity consecutive commodity group are continuously arranged in one stage of the shelf.SELECTED DRAWING: Figure 1

A method and system for establishing product labels, relating to the field of information processing technology, includes the following steps: S1, establishing a correspondence between the standard name of a product and its attributes; S2, collecting product data and extracting textual features from the data to retain characteristic keywords, and matching these characteristic keywords with the standard name to achieve preliminary classification of the product data; S3, classifying characteristic keywords within the same category to obtain different characteristic features, and adding characteristic features containing more than a set threshold to the product attributes, thereby establishing new product attributes or improving existing ones, thus forming product labels. In this way, product attributes are updated based on product data, making the label formation up-to-date. This facilitates consumer selection and reference when addressing specific consumer needs, and is also convenient for use as a recommendation algorithm.

The invention discloses a product sales list display method and a computer program product. The method comprises the following steps: a scheme receiving step: receiving a list display scheme input by a user, wherein the list display scheme comprises a sales screening condition, a product classification dimension and a product attribute value interval segmentation dimension; a product screening step: screening product information needing to be displayed and sales volume thereof according to sales screening conditions; a product sales list display step: a table is generated according to the product classification dimension and the product attribute value interval segmentation dimension, one of a transverse table header and a vertical table header of the table is a plurality of product categories, and the other one is a plurality of product attribute value interval segments; information of a single product is displayed in an SKU square card form, the SKU square card of each product is displayed in the corresponding cell according to the product category and the product attribute value, and the SKU square cards of the products in each cell are sequenced and displayed according to the sales volume. According to the method, product sales sequencing display can be carried out from multiple dimensions.

The present disclosure provides a method, device, equipment and readable storage medium for determining the target attributes of a product, including: obtaining at least two product attributes corresponding to a product category; determining a combination of product attributes based on the product attributes, and determining a product group based on the combination of product attributes; grouping the commodities of the category according to the product group, and determining the target attributes in the product attributes according to the information of the commodities included in the product group. The method, device, equipment and readable storage medium provided by the present disclosure can classify commodities according to product attributes, and analyze the information of the commodities included in each group to determine the target attributes. The method, device, equipment and readable storage medium provided by the present disclosure do not rely on human factors, but analyze based on the information of the commodity itself, and the obtained results are more accurate, so as to guide the product manufacturer to carry out product research and development.

The application discloses a product design method and device based on parameter configuration, a medium and equipment, and relates to the technical field of product design. The method comprises the following steps: in response to a to-be-developed request, calling a product attribute input dialogue box; the product attribute input dialogue box comprises preset attribute information setting items and non-preset attribute information setting items; in response to attribute values corresponding to preset attribute information and non-preset attribute information input by a user in the product attribute input dialogue box according to design requirements of the to-be-developed product, determining an initial product model of the to-be-developed product; calling a part parameter editing box of the initial product model; in the part parameter editing box, parameter information of each part of the to-be-developed product is respectively published in a corresponding candidate geometric graph set; the candidate geometric graph set is created in advance through a CATIA secondary development interface; and a product model of the to-be-developed product is obtained according to the published candidate geometric graph set. The method simplifies the operation process of product design.

The application provides a product model attribute identification method and system, a storage medium and an electronic device. The method comprises the following steps: receiving product information input by a user; the product information comprises a plurality of product attribute categories; the product attribute categories comprise a product name attribute, a product model attribute and a product quantity attribute; each product attribute category corresponds to a plurality of product attribute data; the possibility that each product attribute data in each product attribute category is product model attribute data is obtained; and based on the possibility that all the product attribute data is product model attribute data, an identification result of the product model attribute is obtained from the plurality of product attribute categories. The application can automatically and accurately identify the product model attribute in the plurality of product attribute categories in the product information under different product model assignment rules, and further obtain corresponding product model attribute data, thereby reducing the cost of manual identification.

We propose advertising content that is likely to be more effective depending on the type and attributes of the product. [Solution] The system is characterized by comprising: a sales data storage means for storing, as time-series data, the product type of a target product, product attributes of the product, sales related to the product, advertisement identification information identifying advertisements carried out for the product, the dates on which the sales were recorded and the advertisements were carried out, and the degree of exposure in the advertisements, in association with each other; and an advertisement identification means for identifying a period in which the sales will exceed a predetermined threshold for information associated with one of the product types and one of the product attributes related to a product to be advertised, and for identifying one of the advertisement identification information identifying advertisements carried out during that period, and the degree of exposure in the advertisements identified by the one advertisement identification information.

The system enables a user to add products from a plurality of unrelated merchant sites to a registry and provides a registry checklist having a plurality of different product categories. The system maintains the checklist for the user by obtaining product metadata in response to a user adding a product to the registry, using the product metadata to identify a product category by querying one or more product tables, and, if no product category is identified from the product table(s), inputting one or more product attributes into a machine-learning model to obtain a product category in substantially real time. After identifying a product category, the system adds the product to the checklist under the identified product category, determines if the addition of the product to the registry completes a checklist category, and updates the registry checklist to reflect completion of the checklist category, including visually in a user interface.

The invention relates to the technical field of scheme configuration, in particular to a product attribute configuration method and system, and the method comprises the steps: determining at least one target product attribute of a to-be-configured product in a JSP page; and obtaining attribute information of each target product attribute, so that a back end performs attribute configuration on the to-be-configured product according to the attribute information of each target product attribute. According to the method, dynamic expansion of product attributes can be realized, and front-end interface parameters and back-end logic do not need to be frequently adjusted, so that the product development period is remarkably shortened. And meanwhile, new functions and attributes can be quickly added according to continuously changing requirements, so that the flexibility of product attribute configuration is improved.

The invention discloses a product parameter hierarchical configuration method and system, electronic equipment and a storage medium, and the method comprises the steps: analyzing all products of each product category, recognizing the product attributes of all products of each product category, analyzing the product attributes, and dividing the product attributes into fixed attributes and personalized attributes; constructing a basic product model for each product category based on all product attributes of each product category; on the basis of all the personalized attributes of each product category, constructing a saleable product model for each product category, and associating the saleable product model of each product category with the basic product model of the product category; and on the basis of the basic product model of each product category, the marketable product model of each product category, and the association relationship between the marketable product model of each product category and the basic product model of the product category, creating a marketable product for each product category. The product creation process is effectively simplified, and the flexibility and efficiency of product configuration are improved.

The invention provides a product configuration method and device, equipment, a medium and a product, and the method comprises the steps: obtaining product configuration information provided by a configuration demand end in response to a configuration request provided by the configuration demand end for a target product; the product configuration information comprises a product type, a product attribute parameter and an undetermined parameter; by calling a product configuration rule matched with the product type in a pre-established product rule library, identifying each explicit parameter which has an explicit dependency relationship with the undetermined parameter in configuration parameters contained in the product configuration rule and the product attribute parameters; identifying an implicit dependency relationship of each explicit parameter by calling historical configuration data matched with the product type in a pre-established historical product configuration library; and according to the explicit dependency relationship and the implicit dependency relationship, calculating a target value of the to-be-determined parameter, and according to the target value, configuring the target product.

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 a product model attribute identification method and system, a storage medium and electronic equipment. The method comprises the following steps: receiving product information input by a user; the product information comprises a plurality of product attribute categories; the product attribute category comprises a product name attribute, a product model attribute and a product quantity attribute; each product attribute category corresponds to a plurality of product attribute data; obtaining the possibility that each piece of product attribute data under each product attribute category is the product model attribute data; and based on the possibility that all the obtained product attribute data are the product model attribute data, obtaining an identification result of the product model attribute from the plurality of product attribute categories. According to the method and the device, the product model attribute can be automatically and accurately identified in the plurality of product attribute categories in the product information under different product model endowing rules, so that the corresponding product model attribute data is acquired, and the cost of manual identification is reduced.

An online system maintains a product catalog including products from various retailers, from which users can purchase products. Each of the products are associated with attributes such as a size value and a size unit of measure (UOM). The online system identifies products with erroneous product attributes using taxonomy attribute value homogeneity. The online system performs an inference task in conjunction with the model serving system or the interface system to infer a correct size value and size UOM of the product. The online system evaluates the accuracy of the inferred size value and size UOM of the product. Responsive to determining that the inferred data is accurate, the online system updates the product catalog with the corrected product attribute information.

The invention discloses a product property analysis method and device for residual oil hydrogenation reaction, and relates to the technical field of heavy oil hydrogenation and artificial intelligence, and the method comprises the following steps: obtaining high-flux experimental data of the residual oil hydrogenation reaction and historical data of a specified residual oil hydrogenation reaction device; training the plurality of different types of initial neural network models by using the high-throughput experimental data to obtain a plurality of product property analysis models; determining the product property analysis model with the minimum error as a specified product property analysis model; optimizing parameters of the specified product property analysis model by utilizing historical data of the specified residual oil hydrogenation reaction device to obtain a product property analysis model corresponding to the specified residual oil hydrogenation reaction device; and inputting the to-be-analyzed reaction data into a product property analysis model corresponding to the specified residual oil hydrogenation reaction device, and determining product property data. According to the method, the problems of narrow application range and low analysis precision of the established analysis model in the prior art can be solved.

The invention provides a parameter determination method and device, equipment and a storage medium, and relates to the technical field of data processing. The method comprises the steps that object attribute information of an object and product attribute information of a product associated with the object are obtained, the object is a production facility and a production tool in a production activity, and the object attribute information comprises geometric parameters of the object, geographic positions of the object and property characteristics of the object; the product attribute information comprises a category identifier of the product and production data of the product in a plurality of production stages, and the production data of each production stage comprises a current production stage identifier of the product, production state data of the product, a production record of the product, environment data corresponding to the product and an abnormal event of the product. And processing the attribute information of the object and the product through a preset parameter model, and obtaining quality parameters of the product. And determining a quality evaluation parameter of the user based on the evaluation rule and the product quality parameter. The method is used for improving the accuracy of performance quality parameters of to-be-returned resource quotas.