13 results about "Product base" patented technology

The invention discloses a stacking-based steel hot-rolled product mechanical property prediction method, and relates to the technical field of steel product quality prediction. The method comprises the following steps: constructing a steel hot rolling actual production data set and carrying out missing value interpolation on the data set; performing normalization processing on the complete data set, and dividing a part of data from the normalized data set as a training set; establishing a stacking ensemble learning model based on a regression chain; taking the yield strength, the tensile strength and the elongation in the training set as training labels, taking other data types as training features, and training the learning model by using the training set to obtain a steel hot-rolled product mechanical property prediction model; and the steel hot-rolled product mechanical property prediction model is practically applied to perform real-time prediction on the mechanical property of the steel hot-rolled product. According to the method, the coupling relation among the multiple target variables can be effectively processed, and the accuracy and stability of mechanical property prediction of the steel hot-rolled product can be effectively improved.

This utility model discloses an automatic centering and tensioning clamp and a product processing system, relating to the field of clamping technology. The automatic centering and tensioning clamp includes a fixed base with an adjusting plate hinged to it. A first driving assembly is mounted on the adjusting plate, and the power output end of the first driving assembly is connected to an adapter. A product base is mounted on one side of the adapter, and a positioning post is mounted on the product base. The positioning post has a first mounting hole and a second mounting hole. A driving component is located in the first mounting hole, and a positioning block is located in the second mounting hole. A second driving assembly is located between the adapter and the product base. The power output end of the second driving assembly drives the driving component, which in turn drives the positioning block. After extending out of the second mounting hole, the positioning block can tension and fix the product sleeved on the positioning post. This utility model can solve the problem of ineffective positioning and clamping of ring-shaped / tube-shaped products.

This invention discloses a product diversity complementary recommendation method in the field of e-commerce. The method includes: inputting the product category label of the target product into a pre-trained large language model to determine the complementary relationship between the target product and candidate products; constructing a product complementarity graph by treating products as nodes and the complementary relationship between the target product and candidate products as edge information; establishing neighbor relationships for the target product based on the product complementarity graph, combining the feature vectors and edge information of neighbor nodes; learning the product embedding representation through a graph neural network based on the neighbor relationships to determine the product embedding vector; determining the set of neighbor nodes for the target product based on the similarity between product embedding vectors; weighting intra-class complementarity and inter-class complementarity to select multiple product neighbors from the target product's set of neighbor nodes; and performing a self-balancing re-ranking of the comprehensive scores of the product neighbors through a constructed relevance-diversity weight mechanism to obtain the final recommendation result.

This application provides a product recommendation method, apparatus, device, medium, and program product, relating to the field of artificial intelligence. The method includes: determining the dynamic characteristics of a customer based on historical data of the customer's use of application software; determining the static characteristics of a customer based on the customer's attribute information; determining the static characteristics of a product based on the product's attribute information; determining the dynamic characteristics of a product based on the product's click and purchase records; pairing the customer and product based on their dynamic and static characteristics to obtain customer-product pairs; inputting the dynamic and static characteristics of the customer-product pairs into a pre-trained matching probability determination model to obtain the matching probability of the customer-product pairs; and recommending products to the customer based on the matching probability of each customer-product pair. This application accurately characterizes the features of customers and products through dynamic and static dual-dimensional information. Based on this, the matching results of customers and products are input into the model, resulting in more accurate and reliable matching probabilities.

The invention discloses a combustor management system, method, equipment, medium and product based on skid-mounted design, and belongs to the technical field of combustor management systems, and the combustor management system comprises an operation control module, a logic control module and a field module; the operation control module sends an operation instruction to the logic control module, the logic control module sends a control signal to the field module, the field module returns a detection signal to the logic control module, and the logic control module returns a feedback signal to the operation control module. The device is convenient to install and maintain, the device can be put into use only by connecting an external public engineering pipeline and an electrical signal line on site due to the skid-mounted design, the field installation workload is greatly reduced, the construction period is shortened, and subsequent maintenance and management are facilitated. The control performance is optimized, the local control cabinet and the DCS cooperate in a division mode, rapidity and independence of ignition and safety interlocking are guaranteed, centralized management of process optimization is achieved, and the overall control effect is better.

A new product demand prediction apparatus according to the present disclosure includes: a memory configured to store instructions; and one or more processors configured to execute the instructions to: acquire new product information including at least information regarding promotion of a new product that is a target of demand prediction; acquire first similar product information indicating a sales performance of a first similar product selected based on at least one element of a scale of the promotion, a characteristic of a product, and a sales method; acquire second similar product information indicating a sales performance of a second similar product selected based on the category of the product; and predict sales in a predetermined period including a period after a promotion period of the new product based on the new product information, the first similar product information, and the second similar product information.

The invention relates to the technical field of engineering quantity calculation, in particular to a road engineering quantity calculation and statistical method and system based on a BIM model and a program product. The method comprises the following steps: defining a data structure comprising a basic quantity and an engineering quantity of a design component in a BIM model; calculating the basic quantity of a design component in the BIM model; binding at least one self-defined engineering calculation quantity calculation rule with the basic quantity in the data structure of the design component in advance; when the engineering calculation quantity calculation rule is called, matching the engineering calculation quantity calculation rule with the design component, and calculating the engineering quantity of the design component; the engineering quantity calculation rule comprises a material engineering quantity calculation rule, a manual engineering quantity calculation rule and a mechanical engineering quantity calculation rule. Through the configurable rule, a user is supported to customize the calculation rule according to the project requirement, the problem of rule solidification of traditional software is solved, the calculation result is accurately matched with the service reality, and the data accuracy and availability are remarkably improved.

To provide a product suggestion method, program, and device that minimize the burden of customer registration procedures and can introduce useful product information tailored to the characteristics of each customer. [Solution] The product proposal method includes a customer identification information acquisition step of acquiring SNS identification information on an SNS registered by the customer; a customer attribute information acquisition step of acquiring customer attribute information associated with the SNS identification information; a customer needs acquisition step of acquiring needs information indicating the customer's needs; a product information acquisition step of acquiring product information relating to a group of products to be offered to the customer; and a product identification processing step of identifying and presenting to the customer proposed products based on the customer attribute information, needs information and product information using a natural language model 5 that performs natural language processing.

The system according to the embodiment aims to enable salespeople to efficiently recommend optimal products. [Solution] A system according to an embodiment includes a reception unit, an analysis unit, and a recommendation unit. The reception unit receives requests in natural language. The analysis unit analyzes the requests received by the reception unit and analyzes past proposals or customer data. The recommendation unit recommends products based on the data analyzed by the analysis unit.

The invention provides a product generation method and device, equipment and a storage medium, and relates to the technical field of data processing. The method specifically comprises the steps that a creating operation of a user on a target product is responded, a product configuration interface of the target product is displayed, and the interface provides a plurality of configuration controls including product components, attributes, conditions, rules, association relationships, mechanisms and channel relationships; obtaining configuration parameters input by a user through the control, and obtaining a configuration parameter set covering product basic information, an operation management strategy, an access condition, a request process rule, an associated product identifier, a multiplexing parameter, an approval process and a cross-platform circulation strategy; processing the set by using a preset parameter model, and executing parameter conflict resolution and relationship aggregation, so as to generate a generation rule of the target product; and finally, automatically completing the generation of the target product based on the generation rule and the product template. According to the invention, the high configurability of the product is realized, and the flexibility and efficiency of the generated product are improved.

Methods and apparatus are disclosed regarding an e-commerce system that promotes sales of products based on product comparisons. Some embodiments may present a marketing message that justifies a price difference between presented products based on attribute differences between the presented products.