24 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 application discloses a product code generation method, apparatus, device, and storage medium, relating to the field of data processing technology. The method comprises: obtaining at least one type of product information of a target product; wherein different types of product information are used to represent information under different attributes of the target product; and generating a first product code for the target product based on the at least one type of product information to improve the convenience of product management.

The invention relates to an independent station commodity query method and device, equipment and a medium, and the method comprises the steps: obtaining a commodity query word expressed in a non-central language, determining whether the commodity query word is a polysemy word or not according to a polysemy word corpus, and calling a central language translation model to translate a plurality of translation words expressed in a central language when the commodity query word is the polysemy word; inputting a commodity query word and a plurality of translation words thereof into a multi-category prediction model, predicting the confidence coefficient of each category mapped to the independent station commodity category system, selecting a plurality of categories with high confidence coefficients as candidate categories, and converting the confidence coefficients into weights; corresponding to candidate commodities in a commodity candidate list recalled according to the plurality of translation words, weighting predicted scores of target categories to which the candidate commodities belong in a commodity category system by using weights to determine sorting scores; and selecting target commodities from the candidate commodities according to the sorting score to form a commodity recommendation list. Therefore, the commodity better matched with the intention of the user can be obtained by compatibility with ambiguity during query word translation.

The invention discloses a big language model enhanced reordering complementary product recommendation method and device, and relates to the technical field of intelligent commodity recommendation. Comprising the steps that 1, output data of a baseline recommendation model are obtained, and the output data comprise K candidate complementary product lists for given products and initial correlation scores of the complementary products and the given products; 2, constructing structured prompt information, wherein the prompt information comprises detailed information of a given product, attribute description of each candidate product, historical interaction data of a user and context information; 3, inputting the structured prompt information into a pre-trained large language model, and evaluating the complementarity of each candidate product through a designed prompt template guide model; 4, analyzing the correlation score of each candidate product based on the output of the large language model, wherein the score reflects the complementation degree of the candidate product and the given product; and 5, reordering the candidate product list according to the correlation score to generate a final recommendation result.

Methods, apparatus, systems and articles of manufacture are disclosed for text extraction from a receipt image. An example non-transitory computer readable medium is disclosed comprising instructions that, when executed, cause a machine to at least generate a baseline product hierarchy using product information, calculate categorical impact values for products in the baseline product hierarchy, calculate an average impact value for the baseline product hierarchy using the calculated categorical impact values, calculate a first weighting factor for respective ones of the products based on a comparison between the categorical impact values and the average impact value, calculate a second weighting factor associated with respective ones of the products in the baseline product hierarchy based on sales data, and generate final weighted categorical impact values based on (a) the first weighting factors, (b) the second weighting factors and (c) the categorical impact values corresponding to the respective ones of the products.

A product planning system and method that can plan new products that do not exist in the world based on evaluations of existing specific products and combinations of technologies. and, Product Planning Program M provide. [Solution] The product planning system 10 includes a product information collection means 12a that collects product information about specific products via the Internet, and a product information generation means 12b that generates new product information NPI about new products different from the specific products based on a combination of the collected product information. The product information includes product evaluation information PVI about evaluations of the specific products and product technical information PEI about the technology of the specific products. The product information generating means 12a can generate, as new product information NPI, information based on products having the same product evaluation information PVI but different product names, and information based on products having the same product technical information PEI but different product names. .

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.

The invention provides an electromechanical product design cognitive scheme generation method and system based on a pre-training model. The method and system are used for solving the problem that the efficiency of a design scheme of a complex engineering problem product is low. The method comprises the following steps: identifying improvement parameters and deterioration parameters from an engineering problem text of a target mechanical and electrical product; querying an invention principle number from a pre-constructed contradiction matrix knowledge base according to the improvement parameter and the deterioration parameter, wherein the contradiction matrix knowledge base stores a mapping relationship between the improvement parameter and the deterioration parameter and the invention principle number; querying the invention principle information corresponding to the invention principle number from an invention principle knowledge base, wherein the corresponding relationship between the invention principle number and the invention principle information is stored in the invention principle knowledge base; and reasoning the engineering problem text and the invention principle information through the pre-training language model to obtain a design cognition scheme of the target mechanical and electrical product.

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.

To provide a product planning system, a product planning method, a product planning program, and a product planning generation AI that can plan new products that do not exist in the world based on a trend forecast for a specific existing product. [Solution] A product planning system (10) includes a product information collection means (12a) that collects product trend information related to the popularity of a specific product via the Internet, and a product information generation means (12b) that generates new product information (NPI) related to a new product different from the specific product based on the collected product trend information. The product trend information includes first product trend information (PTI1) collected from word-of-mouth and reviews about the specific product and from social networking sites, and second product trend information (PTI2) collected from websites provided by manufacturers of the specific products or websites provided by organizations that perform technical evaluations of the specific products. The product information generating means 12b can generate, as new product information NPI, information based on products for which the first popular product information PTI1 and the second popular product information PTI2 are the same but have different product names, but which are from different information sources.

The invention discloses an information pushing method and device based on big data and electronic equipment, and is used for accurately pushing information to customers so as to improve user experience. The method comprises the following steps: collecting a commodity information chain, wherein the commodity information chain is generated based on a continuous commodity browsing record sequence of a user; the calling word vector model generates a commodity information chain vector corresponding to the commodity information chain, wherein the commodity information chain vector comprises word vectors corresponding to at least two commodities; acquiring browsing information of a target user, and generating a target commodity chain according to the browsing information; the calling word vector model generates a target commodity chain vector corresponding to the target commodity chain; based on the target commodity chain vector, the commodity information chain vector, the purchase record of the target user and the purchase record of the user corresponding to the commodity information chain vector, calculating the total similarity between each commodity information chain vector and the target commodity chain vector; generating a target commodity according to the total similarity; and pushing information to the target user by using the target commodity.

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.

The invention discloses an assembly tool based on laser engraving equipment and a laser engraving system, and relates to the field of laser engraving. In the equipment base, a mounting part can be fixedly connected with laser engraving equipment, a positioning part is located below the mounting part and fixedly connected with the mounting part, and the positioning part is provided with a vertically-through channel allowing laser of the laser engraving equipment to pass through. In the product positioning mechanism, a product base is provided with a vertically-through through hole allowing laser to pass through, the upper end of the product base is provided with a guide part, the guide part is connected with a positioning part in a matched mode and can be detached to position the equipment base, and the lower end of the product base is provided with a plurality of positioning pins which extend vertically and can be connected with automobile part products in an inserted mode in a matched mode. The magnetic attraction mechanism and the clamping mechanism are arranged on the product base, the magnetic attraction mechanism can magnetically attract an automobile part product below the magnetic attraction mechanism, and the clamping mechanism can clamp the automobile part product in the horizontal direction. Products are quickly switched by replacing different product positioning mechanisms, and the laser engraving equipment is matched for engraving.

The invention discloses a method and a device for adjusting a page of a settlement and sale exchange product based on a user experience report, and relates to the field of financial science and technology or other related technical fields, and the method comprises the following steps: receiving a product experience process report fed back by a user terminal, the product experience process report is a report generated by a user after entering a settlement and sale product page through an entrance of the financial transaction APP and completing a product experience process; performing flow splitting on the product experience flow report to obtain product experience differences of the plurality of product pages; and generating an experience optimization suggestion corresponding to each product page based on the product experience difference. According to the method and the device, the technical problem that the transaction efficiency is reduced due to the fact that product experience process data is not collected in a product page adjustment mode in a financial APP in the related technology is solved.

The application relates to the computer technical field, in particular to a product quality traceability analysis method, an electronic device and a storage medium, the method comprises the following steps: inputting a plurality of quality monitoring index data of a target product into a fault monitoring model, obtaining each fault problem corresponding to the target product and an initial score of each fault problem, and further obtaining a first fault cause analysis text corresponding to the target product according to the obtained result, respectively obtaining the correlation degree of each fault problem and a remaining fault problem, optimizing the initial score of each fault problem according to the correlation degree, inputting the optimization result into a given large language model, obtaining a second fault cause analysis text, and finally determining a fault traceability production link corresponding to the target product based on the first fault cause analysis text and the second fault cause analysis text; the application can improve the accuracy and reliability of fault cause prediction, and then improve the efficiency and accuracy of product quality traceability.