27results about How to "Improve user satisfaction" patented technology

The invention discloses a homogeneous real estate space intelligent search method and system based on space partition, and relates to the technical field of space data processing and intelligent search. According to the homogeneous real estate space intelligent search method and system based on space partition, the data of the target real estate area is obtained and preprocessed, so that the accuracy and integrity of the data are ensured; dividing the pre-processed area into a plurality of space subareas through a geographic information system, extracting homogeneous features through a clustering algorithm, and analyzing a peripheral matching adaptation degree index of each subarea in combination with geographic position preference of a user to form a homogeneous house resource set; and searching and matching the homogeneous house resource set through a collaborative filtering algorithm, generating a user recommended house resource list, calculating a matching degree index of house resources in each partition, setting a dynamic feedback mechanism, and sorting the recommended house resource list in real time, so as to improve the user satisfaction. Personalized housing resource recommendation is provided for the user, and the convenience and accuracy of real estate transaction are improved.

The invention relates to the technical field of user personalized content pushing, in particular to a user personalized content pushing system based on big data and a promotion method. The method comprises the following steps: collecting user behavior and preference data through multiple channels; dynamically constructing user portraits, and enriching the user portraits in combination with multi-dimensional data; based on user portraits and content features, a recommendation model is constructed by using a deep neural network, and user preferences are accurately predicted through multiple hidden layers; through a push model and a multi-objective optimization method, the probability of pushed content is calculated in combination with indexes such as a click rate and a conversion rate, the push frequency and content selection are optimized, and the correlation of the pushed content and the user satisfaction are ensured; by monitoring user feedback in real time and adjusting a pushing strategy, intelligent decision and personalized recommendation of content pushing are realized, and long-term accurate pushing and improvement of user experience are ensured. According to the method, the accurate user portrait is constructed through multi-data source collection and processing, so that personalized content pushing is realized.

The invention relates to the technical field of three-dimensional scanning, in particular to a 3D printing product personalized design method based on a three-dimensional scanning human body model. The method comprises the following steps: acquiring human body three-dimensional scanning data and human body composition data; performing movable joint analysis on the human body three-dimensional scanning data to generate human body movable joint data; performing distributed three-dimensional model modeling on the human body three-dimensional scanning data based on the human body movable joint data to generate a human body three-dimensional model; initial human body fitting product design is conducted on the human body three-dimensional model based on the 3D printing technology, and initial 3D printing product parameter data are obtained; according to the method, by combining the human joints, the body composition data and the user feedback, the fitness and the personalized design precision of the 3D printing product are optimized, and the precision and the flexibility of the personalized design of the 3D printing product are improved.

The invention discloses a distributed cross-network segment file transmission method. The method comprises the following steps of S1, deploying a file transmission service in a local area network; s2, carrying out transmission node registration among the local area networks through a file transmission service; s3, determining a transmission path according to whether a target node is contained in the local area network; s4, after a transmission path is obtained, encrypting the file fragments according to path information, and sending the encrypted file fragments to a next transmission node; s5, the receiving node decrypts the data packet according to the source node information and continues to transmit the data packet according to the routing information until the data packet arrives at the destination; s6, after receiving all the fragmented data, the receiver returns confirmation information of successful receiving to the sender; and S7, if the sender does not receive the receiving confirmation for a long time, re-sending the unconfirmed fragmented data packet. According to the invention, the file transmission efficiency and security are improved, and the reliability and stability of the system are enhanced.

The invention discloses a mobile robot performance system popularity racking method based on an improved TabNet algorithm. Comprising the following steps: collecting historical order data; the historical order data is preprocessed; a TabNet algorithm is improved, and a popularity model based on the improved TabNet algorithm is constructed; training a popularity model based on an improved TabNet algorithm by using the preprocessed data set, calculating a popularity score of each SKU, and performing real-time data updating and dynamic recalculation of the popularity score; and according to the SKU popularity score obtained through calculation, goods are put on different goods shelf areas. The invention provides a novel mobile robot performance system popularity shelving method based on an improved TabNet algorithm, so that high-popularity SKUs can be effectively identified and shelved in a concentrated manner through dynamic feature selection and a popularity scoring mechanism, thereby improving the order line hit rate of an RMFS system and optimizing the sorting efficiency.

The invention discloses an intelligent costume design recommendation system based on big data, which belongs to the technical field of intelligent costume design and comprises a data acquisition and processing module, a portrait construction module, an intelligent costume design module and a recommendation scheme generation module. According to the method, the multi-modal fusion and dynamic style anchor point combined user scene portrait construction method is adopted, so that comprehensive integration of user body types, long-term and short-term style preferences and scene wearing and building requirements is realized, and a recommendation system can capture current interests and popular trends of the users in real time; generating a personalized costume design conforming to the aesthetic appreciation of the user and adapting to an actual scene; intelligent costume design is carried out by combining conditional potential diffusion costume generation and aesthetic wearable joint evaluation, a design drawing considering the body type, style preference and use scene of a user at the same time is generated, and visual aesthetics and actual wearing feasibility double evaluation is carried out on a generation result, so that it is ensured that recommended costume design meets aesthetic requirements, and the user experience is improved. And the garment is comfortable and fit in real wearing.

The invention relates to the technical field of fuel gas system data management, in particular to a fuel gas system business data dynamic report generation method, which comprises the following steps: S1, data collection and preprocessing: collecting business data in a fuel gas system in real time; s2, equipment state monitoring: identifying an abnormal condition on the surface of the equipment; s3, data analysis: extracting business indexes and abnormal data; s4, cross-platform data collaboration and synchronization: carrying out real-time collaboration and synchronization on the business data of the gas system, the energy consumption data of the energy management system and the home environment data of the smart home system; s5, report generation: generating a dynamic report of the gas system; s6, report distribution: distributing the generated dynamic report to related personnel; and S7, user feedback: collecting feedback information of the user to the report. According to the method, the comprehensive dynamic report is generated, and the safety and the operation efficiency of the system are improved.

The invention discloses an intelligent cloud customer acquisition system based on big data, which relates to the technical field of intelligent cloud customer acquisition and comprises a data acquisition module, a processing module, a calculation module and an analysis module. According to the method, various behavior characteristics of the user in the financial field are combined, so that the accurate customer portrait is constructed, the current state of the customer is reflected, the potential demand and the future trend of the customer are reflected, powerful support is provided for subsequent accurate recommendation, and the customer portrait and the financial product or service characteristics are combined, so that the user experience is improved. According to the method, accurate prediction of potential demands of customers is realized, powerful decision support is provided for financial institutions, and finally, a plurality of factors such as potential demand prediction values, market feedback data and user credit scores are comprehensively considered, so that personalized recommendation priority ranking is obtained; the sorting result not only improves the recommendation accuracy and the conversion rate, but also optimizes the resource configuration and improves the operation efficiency of the financial institution.

The invention discloses a personalized doll clothing customization system based on traditional clothing elements, and relates to the technical field of clothing customization. Comprising a traditional costume element library module which is used for constructing a database in a layered manner according to a shape type, a pattern type and a color type and storing traditional costume elements, and each traditional costume element is attached with core feature parameters marked by AI, and is used for quickly retrieving and calling the traditional costume elements. According to the method, traditional clothing element feature parameters are accurately collected and labeled through the traditional clothing element library module, traditional clothing element features and customized keywords in user requirements are extracted in combination with the multi-modal input analysis module, and then the AI adaptation optimization module uses a proportion adjustment algorithm and a density adjustment algorithm; therefore, the traditional clothing elements are precisely matched with the size of the doll clothing, core details such as pattern texture and shape and structure are kept, and the problem that the traditional clothing elements are distorted to be matched with the small-size model of the doll clothing is effectively solved.

The present invention relates to the technical field of marketing strategy analysis, and in particular to a method and system for processing marketing data. The method comprises the following steps: obtaining a target platform marketing data set and performing data format division and caching processing and format unified conversion processing to obtain a target platform marketing standardized format data set; performing user browsing behavior analysis on the target platform marketing standardized format data set to obtain target platform marketing user browsing behavior data; obtaining marketing products in the user browsing behavior process through the target platform marketing user browsing behavior data to perform browsing interest screening processing to obtain a target platform user browsing interest product set; performing advertising browsing division processing and advertising marketing analysis on the target platform marketing user browsing behavior data, and performing marketing strategy analysis to generate a target platform product marketing strategy to execute corresponding target platform product personalized marketing activities. The present invention can provide more accurate and effective marketing strategy support.

The embodiment of the present invention discloses an article storage management system, including: an article registration information server, a file bag for storing articles, an electronic sealing device and an article storage system; a barcode and an RFID tag are set on the surface of the file bag; the electronic sealing device scans the barcode and obtains the thickness of the file bag, receives the article entry information returned by the article registration information server, sends the article entry information and thickness to the article storage system, and receives the storage location information returned by the article storage system; the electronic sealing device generates electronic article tag information and writes it into the RFID tag. The article storage management system of the present invention can automatically seal the articles in the business links such as registration and storage, and can automatically allocate storage locations for the file bags; it can automatically perform operations such as inventory on the stored collateral and other articles, and the operation is highly accurate, which improves work efficiency and user satisfaction.

This invention discloses a charging and swapping user behavior pattern analysis system and method, relating to the field of electric vehicle charging management technology. It acquires and establishes a multi-source data pool, merges the multi-source data pool, analyzes user charging and swapping behavior patterns and calculates the probability of abnormal behavior, establishes dynamic scheduling rules based on user charging and swapping behavior patterns, performs resource allocation and service classification, optimizes the model and establishes a response mechanism, and generates real-time scheduling instructions. This invention, through multi-source data collection and analysis, accurately predicts user charging and swapping behavior, dynamically optimizes resource allocation, improves charging station operating efficiency and user satisfaction, promotes the integration of virtual power plants, constructs a vehicle-to-grid strategy optimization module, quantifies the potential of users to participate in grid peak shaving, and optimizes regional energy dispatch. Furthermore, it has an anomaly detection and response mechanism to ensure safety and stability, and promotes the development of charging and swapping services towards high efficiency, intelligence, and sustainability.

The invention relates to a parking management method and device, computer equipment, a storage medium and a product, and relates to the technical field of traffic. The method comprises the steps of obtaining parking characteristic parameters of a target vehicle; the parking characteristic parameters comprise a destination, vehicle attribute data and parking habit data; the parking habit data is used for representing parking preferences or historical parking behaviors of a vehicle driver; based on the parking characteristic parameters, generating parking space constraint conditions matched with the target vehicle; in a target range determined based on the destination, carrying out idle parking space query based on the parking space constraint condition to obtain a target idle parking space; generating a recommended parking strategy for the target vehicle based on the target idle parking space; according to the invention, fine-grained parking space suitability accurate matching can be realized, the parking space recommendation accuracy and individuation level are improved, and the practicability of the recommendation result and the user satisfaction in a complex actual parking scene are improved.

The invention provides a vehicle offline detection method, system and device and a storage medium, and the method comprises the steps: obtaining the part initial information and part identity information of installed parts in a to-be-detected vehicle, writing the part initial information into a vehicle machine system, and writing the part initial information into the vehicle machine system to complete the control of all the installed parts to communicate with a cloud end, thereby achieving the offline detection of the vehicle. If the connection states of the parts are all normal, the identity information of the parts is uploaded to a cloud end, an identity verification result fed back by the cloud end is received, and if verification is correct, it is determined that vehicle off-line detection is normal, and the to-be-detected vehicle is controlled to be off-line; according to the method, the communication between the parts and the cloud is controlled, the communication capability between the parts and the cloud is verified, the stability and reliability of data transmission are ensured, network connection function abnormity caused by data errors is avoided through identity verification of the cloud, the risk that vehicles with problems flow out is reduced through a multi-layer detection and verification mechanism, and the reliability of data transmission is improved. And the production quality and the user satisfaction are improved.

The invention discloses a protection method for a touch circuit, which comprises the following steps of: coating a layer of protection film on the surface of the touch circuit of a protection panel, and adding an electrical isolation layer between the protection film and the touch circuit, wherein the special insulating film is prepared in the modes of polymerization, film casting, drying and cutting, the preparation raw material is polyimide, the special insulating film is in a liquid state and is poured on the flat protective panel to form a solution with a certain concentration, the solution is uniformly spread by a roller of a film casting machine or a smooth workbench to form a thin film, and the thin film is placed on the protective panel. Along with volatilization of the solvent, the solution is gradually cured to form a film which passes through a uniform thin film, then drying treatment is carried out to remove the solvent, and finally the film is cut into the required size. According to the protection method for the touch circuit, the surface of the touch circuit is coated with the protection film and the electrical isolation layer, physical damage such as scraping and impacting can be effectively prevented, and therefore the durability of the touch circuit is improved.

The invention discloses a digital human interaction strategy optimization method based on big data recognition, and relates to the technical field of intelligent interaction and digital human, and the method comprises the steps: collecting and storing multi-modal interaction data, such as texts, voices, expressions and time lengths, generated in a digital human interaction process of a user; performing emotional state labeling on the multi-modal interaction data based on a pre-trained emotion recognition model, and extracting an emotional feature vector containing emotional polarity, emotional intensity and emotional stability; constructing a user emotion change track map to recognize an emotion state conversion mode; evaluating and sorting candidate interaction strategies according to the conversion mode in combination with historical interaction data, and selecting an optimized interaction strategy; and the strategy evaluation index is updated according to user feedback, so that the adaptive optimization of the digital human interaction strategy is realized.

The invention relates to the field of thickness detection devices, and particularly provides a lithium electrode plate thickness detection device. The lithium electrode plate thickness detector comprises a thickness detector, the thickness detector comprises a main body, the bottom of the main body is provided with a mounting base, and one side of the mounting base is provided with a mounting hole, the lithium electrode plate thickness detector is provided with a clamping mechanism, so that height adaptation and flexible clamping of lithium electrode plates of different specifications or sizes are realized, the clamping mechanism adopts a replaceable design, and the clamping mechanism is convenient to use. The lithium electrode plates with different sizes can be easily handled through the threaded connection of the fixing screw rod and the mounting hole, and meanwhile, a stable and protective clamping system is formed by a spring, an abutting piece and a pressing sliding ball in the clamping mechanism, so that the lithium electrode plates can be ensured to be stable and not move in the measurement process, damage caused by external force can be effectively avoided, and the measurement accuracy is improved. Particularly, the four pressed sliding beads which are arranged in a rectangular array at equal intervals can uniformly distribute the clamping force, so that the safety of the lithium electrode plate is further improved.

The embodiment of the invention provides an air ticket recommendation method based on an air ticket secondary card and a computer program, and the method comprises the steps: obtaining an air ticket search request of a user using the air ticket secondary card, and the air ticket secondary card is provided with a corresponding application range, is used for the user to exchange an air ticket in the application range, and has the use frequency; wherein the application range at least comprises an air ticket exchange range, and the air ticket search request at least indicates a user travel place; based on the air ticket search request, reservable air ticket results are recommended to the user, the reservable air ticket results comprise extended reservable air tickets which are adaptive to the travel place of the user and exceed the air ticket exchange range, and the extended reservable air tickets at least support the user to use the air ticket secondary card for exchange. And supplementing the original reservable airline ticket in the application range. According to the embodiment of the invention, the user use success rate of the air ticket secondary card can be improved, and the user satisfaction is improved.

The invention discloses an online fresh vegetable purchasing method, which is applied to an online fresh vegetable purchasing platform. The method comprises the steps that a supplier set is acquired, commodity data of all suppliers in the supplier set are collected, the commodity data comprise the variety, number, price and freshness of fresh vegetables and temperature data and humidity data of the environment where the fresh vegetables are located, and a commodity database is obtained; a received purchase request of a user is responded, a purchase order is generated according to the purchase request and the commodity database, a target supplier is determined according to the purchase order, and the purchase request comprises the variety, the number, the price, the freshness degree, the delivery address and the delivery time of the required fresh vegetables; and sending corresponding purchase orders to a plurality of target suppliers in the supplier set through multiple threads so as to perform purchase. By implementing the technical scheme provided by the invention, suppliers meeting diversified demands of the user can be selected during online purchase according to user demands, and the purchase experience of the user is improved.

The present application provides a dust collector with a portable power source function, comprises a first air inlet and a first air outlet are formed in an inner housing, an air flow channel and accommodation space at an interval are defined in the inner housing, the first air inlet is communicated with the first air outlet through the air flow channel, and a centrifugal fan is arranged in the air flow channel; a second air inlet and a second air outlet are formed in an outer housing, the second air inlet is opposite to the first air inlet, the second air outlet is opposite to the first air outlet, and the second air inlet is communicated with the second air outlet through the air flow channel; the dust collector can output an air flow with a stable air volume, and has a portable power source function.

The invention belongs to the field of big data, and relates to a clue data processing method, which comprises the following steps of: acquiring a plurality of clue data in a historical time period from a constructed full-amount clue library; dividing the multiple pieces of clue data based on a preset clue strategy, and determining clue type information of each piece of clue data; based on a preset priority strategy and clue type information, judging a clue priority level of each clue data; and sending each piece of clue data and the clue priority level to a processing platform, so that the processing platform reaches a plurality of user terminals based on each piece of clue data and the clue priority level. The invention further provides a clue data processing device and equipment and a medium. In addition, the invention also relates to a block chain technology, and multiple pieces of clue data, preset clue strategies, clue type information and clue priorities in the total clue library can be stored in a block chain. The method can improve the efficiency of touching the user.

The embodiment of the invention provides a smart home equipment control method and device, electronic equipment and a storage medium. The method comprises the following steps: determining attribute information of smart home equipment by responding to an access operation of the smart home equipment; wherein the attribute information at least comprises the equipment type of the smart home equipment; creating an object model according to the attribute information, and editing a dynamic link library corresponding to the equipment type according to the equipment type; and controlling the smart home equipment according to the object model and the dynamic link library. Intelligent household equipment control is realized through combined application of the physical model and the dynamic link library, unified control of the same type of intelligent household equipment can be realized through the same physical model, and specific control command output among different intelligent household equipment can be realized through a dynamic link library configuration mode. Therefore, flexible and unified control of different smart home devices is realized, and the operation complexity when a user controls the smart home devices is reduced.

The present disclosure relates to an information processing method and apparatus, a mobile device and a storage medium. The information processing method comprises: detecting the current posture of the first screen; and controlling the mobile device to run a first operating system or a second operating system according to the current posture of the first screen, wherein the second operating system is different from the first operating system.

The invention relates to the technical field of financial payment, and discloses a mobile payment trusted data processing method and system based on a block chain, and the method comprises the steps: calling first historical POS transaction data from a first block chain according to a current payment request; acquiring first historical abnormal POS transaction data about the target bank card from the first historical POS transaction data by using a pre-configured first isolated forest model; calculating a first editing distance between the current POS transaction data and the first abnormal POS transaction data, and executing a first round of credibility judgment on the current POS transaction data according to the size of the first editing distance; executing a transaction processing operation on the current payment request according to the credible data or the fraud data; according to the invention, the security and transaction credibility of the payment system are effectively improved while the transaction convenience is guaranteed.

This application relates to the field of data processing technology, and provides an information push method, apparatus, and device to solve the problem that the information pushed to users by the banking system cannot meet the personalized needs of users. First, multi-source data of the target user is acquired, and the multi-source data is processed to obtain user profile tags for the target user. Then, a large language model is used to perform semantic analysis on the user profile tags to obtain the user profile analysis results for the target user. Furthermore, a content generation model is used to process the user profile analysis results to generate the information to be pushed to the target user. Finally, the information to be pushed is sent to the target user through the target information push channel. This application's embodiments, by deeply constructing user profiles, comprehensively understand user needs and preferences, enabling banks to provide tailored push content for each user, significantly improving service targeting and user satisfaction.

The present application provides a document-oriented question-answering method, device, electronic device, storage medium and product, which belongs to the field of artificial intelligence technology. The method includes: obtaining a first semantic feature vector corresponding to a query statement and multiple second semantic feature vectors corresponding to document identification information of multiple source documents; obtaining at least one third semantic feature vector whose semantic similarity with the first semantic feature vector is greater than a first preset threshold from the multiple second semantic feature vectors; obtaining at least one candidate document identification information corresponding to the at least one third semantic feature vector; when at least one candidate document identification information includes target document identification information, obtaining at least one target document paragraph whose similarity with the query statement is higher than a second preset threshold from the target document corresponding to the target document identification information; and generating an answer corresponding to the query statement based on at least one target document paragraph. The present application can improve the success rate of question-answering.

The invention discloses a data analysis system for an intelligent electric meter, which belongs to the field of electric power data analysis and comprises the intelligent electric meter, a transmission network and a rear-end platform. The intelligent electric meter is used for acquiring power consumption data of a user, and the power consumption data comprises power consumption, a power factor, voltage, current, an electric meter address or time data; by integrating an intelligent electric meter, a transmission network and a back-end platform, an integrated process from data acquisition to analysis to application is realized. According to the design, the precision and efficiency of data acquisition are improved, more personalized and accurate services are provided for users through the powerful data processing capability and analysis capability of the rear end, meanwhile, an important decision support tool is provided for an electric power company, and optimization of electric power resource allocation and improvement of service quality are facilitated.