25results about How to "Improve Personalized Experience" patented technology

The invention discloses a soothing lamp intelligent control method and system based on voice interaction, and relates to the technical field of data encryption, and the method comprises the steps: receiving a voice command inputted by a user through a voice interaction device, awakening a control system, and starting a voice emotion recognition unit; the voice emotion recognition unit is used for performing emotion analysis on the voice command, extracting emotion characteristics and judging real-time emotion of the user; on the basis of continuous voice input of a user, voice signals are collected regularly, the emotional state is updated dynamically, and light setting is optimized in combination with environmental data; by recording historical voice interaction data and environment data of a user, an emotion mode and light preference of the user are learned, and light setting is continuously optimized. Light setting is continuously optimized through a self-learning mechanism, it is ensured that the system can conduct self-adaptive adjustment along with changes of user requirements, and light control is more intelligent and personalized.

The invention relates to the technical field of man-machine interaction, and discloses an intelligent annotation method and system, and the method comprises the following steps: collecting multi-modal behavior data of a user; taking the user multi-modal behavior data as input of a user behavior analysis model, and enabling the user behavior analysis model to analyze the user multi-modal behavior data so as to predict an original user operation expectation; performing goodness of fit analysis on the original user operation expectation and the user operation mode report to screen the original user operation expectation meeting the requirement, and further obtaining a final user operation expectation; and dynamically adjusting the annotation tool and / or the annotation interface based on the final user operation expectation, and responding to the annotation operation of the user. According to the method, personalized dynamic adjustment of the annotation interface and the annotation tool is realized, the user operation steps are simplified, the user can obtain good personalized experience, the technical problems of inconvenient operation and lack of personalized experience in the prior art are solved, and the user experience and the operation efficiency are remarkably improved.

The invention discloses a multi-mode anthropomorphic ecological reconstruction system and a method thereof, particularly relates to the technical field of anthropomorphic ecological management, and is used for solving the problem of poor state of multi-mode anthropomorphic ecological management. The emotion recognition and response capability of the digital personality system is improved by efficiently integrating visual, auditory and text data and applying the multi-head attention model and the multi-modal emotion neural network, and then the digital personality is dynamically generated and adjusted by adopting the generative adversarial network so as to adapt to different interaction situations, so that the user experience is improved. Therefore, the immersion and satisfaction of the user are enhanced, and complex user input can be more accurately understood during anthropomorphic ecology construction. Besides, a reaction strategy is automatically adjusted according to matching adaptation information generated in the real-time matching analysis process, and a signal is automatically generated and automatic management of a mode strategy is carried out according to the signal, so that the operation efficiency and the intelligent anthropomorphic ecological reconstruction efficiency are further improved, and the requirement of manual intervention is remarkably reduced.

The invention discloses a spring-free magnetic springback type switch key, which comprises a shell, a shaft rod inserted into the shell, a magnetic column arranged in the shaft rod, an electromagnetic coil positioned in the shell and arranged outside the shaft rod in a surrounding manner, and a trigger assembly mounted in the shell and matched with the shaft rod, the shaft rod is provided with a hollow column body extending downwards, and the magnetic column is located in the hollow column body; an annular wall is arranged on the inner bottom face of the shell in an upward protruding mode, a guide groove matched with the hollow column in the shaft rod is formed, and the guide groove is used for conducting linear guiding on relative matching of the hollow column. And the electromagnetic coil is sleeved outside the ring wall. According to the switch key, the electromagnet is matched with the magnet, rebounding of the key is achieved through magnetic force, and the intensity of feedback force is flexibly changed by adjusting the magnetic force of the electromagnet.

The invention belongs to the field of electric digital data processing, and particularly relates to a personalized myopia prevention and control and glasses matching optimization method and system, electronic equipment and a storage medium. Physiological parameters, behavior parameters and environmental parameters of individuals are collected and integrated to form an individual comprehensive data set; constructing an individual physiological-behavioral environment interaction network according to the individual comprehensive data set; analyzing the individual physiological-behavioral environment interaction network by using a complex network analysis method, and evaluating the myopia risk of the individual; according to the individual myopia risk assessment result, generating personalized myopia prevention and control suggestions and glasses matching schemes; and collecting user feedback, and optimizing the system according to a feedback result. According to the method, the myopia risk can be comprehensively evaluated, and customized myopia prevention and control suggestions and glasses matching schemes are provided according to the individual physiological parameters and behavioral environment factors. By combining the advantages of a complex network analysis method, the accuracy and effectiveness of myopia prevention and control and glasses matching are improved.

The invention provides a digital human customization method, a cloud end, a vehicle machine end, equipment, a medium and a product. According to one example of the invention, the method is applied to a cloud, and the method can comprise the following steps: recognizing a portrait picture uploaded by a user, and determining an image template matched with the portrait picture; performing feature fusion on the portrait picture and the image template to generate a digital human picture; carrying out portrait replacement on a motion capture video template corresponding to the image template by using the digital human picture to generate digital human data; and the digital person data is sent to the in-vehicle terminal, so that the in-vehicle terminal displays the digital person in the digital person data, a unique digital person image can be generated and displayed in a customized manner, and the personalized experience of a user on the digital person is improved.

The invention discloses a voice interaction teaching system integrated with a visual tactile sensor and a braille recognition algorithm, which comprises the steps that a braille image is acquired through a tactile sensing module, an input instruction is acquired through a voice module to carry out mode adjustment on a braille translation module, and the adjustment modes comprise a teaching mode and a translation mode; in the teaching mode, the braille image is preprocessed through the braille translation module to obtain dot information, the dot information is recognized through the braille recognition algorithm to obtain character information, and the character information is broadcasted through the voice module. Whether the braille recognition algorithm is used for detection or not is judged through a frame difference algorithm and an inter-frame minimum circle center distance algorithm when the braille recognition algorithm is used; in the translation mode, the character information is detected through the four columns of threshold lines according to the dot information, the detected character information is obtained, and the detected character information is broadcasted through the voice module.

The utility model provides a cooking utensil and a cupboard, the cooking utensil can be embedded in the cupboard, the cooking utensil comprises a box body, a door body, a control panel, a first mounting rack and a second mounting rack, the box body comprises a cooking cavity, and the box body is provided with a first side wall and a second side wall which are oppositely arranged; the door body is rotatably connected to the first side wall, and the door body is used for opening or closing the cooking cavity; the control panel is arranged on the box body and is used for controlling the cooking utensil to operate; the first mounting frame is mounted on the first side wall; the second mounting rack is mounted on the second side wall, and the first mounting rack and the second mounting rack are used for mounting the box body in a cabinet in an embedded manner; when the door body seals the cooking cavity, the control panel is located above or below the door body relative to the door body.

The invention is applicable to the technical field of computers, and provides a collaborative strategy generation method for a multi-player game, which comprises the following steps: distributing a role customization scheme for an initial player based on a player role generalization model; distributing a game session for the initial player based on the role customization scheme and the role participation mode, and marking the initial player as a game player; acquiring game behavior data of each game player, and analyzing the game behavior data to obtain a cooperation mode of the game players; dynamically adjusting game element attribute parameters according to the role customization scheme, the game behavior data and the cooperation mode of the game player; inputting the real-time game behavior data and the game element attribute parameters into a pre-trained deep learning model to generate collaborative strategy suggestions; and providing the collaboration strategy suggestions to the corresponding game players, and dynamically adjusting resource allocation of each game player according to the collaboration strategy suggestions. According to the method, the ability of the multi-player game in the aspects of deep strategy collaboration and personalized game experience can be improved.

The invention relates to the technical field of intelligent diagnosis, and discloses a design match information recommendation platform based on a designer portrait, which comprises a user information module, a capability model construction module, a match information recommendation module and an interactive community module, and is characterized in that the user information module is used for collecting various demands of a designer; constructing designer data; the ability model building module is used for building a designer portrait through a fuzzy clustering analysis algorithm and multi-dimensional ability feature analysis based on designer data; the information recommendation module uses a label-based collaborative filtering recommendation algorithm to recommend personalized industry information to designers according to designer portraits and a design match information database; the interactive community module provides a communication platform between designers and promotes knowledge sharing and cooperative innovation; according to the method, a collaborative filtering recommendation algorithm based on labels is applied, and the participants are subjected to tagging setting, so that accurate classification is realized, and personalized requirements of designers are deeply met.

The invention provides an intelligent graph loading and rendering method and system for a mobile device application program, and the method comprises the steps: S1, initializing an SDK parameter of an intelligent graph development unit, and returning the SDK parameter to a mobile device; s2, the intelligent graph development unit collects sensor data and system performance data of the mobile device and user interaction behavior data of an application program, and uploads the data to a server; a prediction model is embedded in the server; s3, the server trains the prediction model through the sensor data and the system performance data of the mobile device and the user interaction behavior data of the application program, and predicts the user behavior trend and the device performance; s4, the intelligent graph development unit analyzes the predicted user behavior trend and equipment performance, and generates an intelligent graph loading and rendering strategy; the mobile device calls and executes the intelligent graph loading and rendering strategy, and intelligent graph loading and rendering are conducted on the application program of the mobile device. The running efficiency of the application program and the performance of the mobile equipment are improved.

The invention discloses an integrated API cross-border procurement system and method, and relates to the technical field of electronic commerce. The integrated API cross-border procurement system comprises a user information management module, a commodity information management module, a commodity recommendation module, a commodity search module, a commodity settlement module and a customs clearance management module. According to the cross-border shopping platform, multi-language support of the cross-border shopping platform is achieved through the API of the integrated translation software, the commodity information is automatically translated into the language selected when the user registers, the problem that the shopping experience of the user is poor due to language barriers of an existing cross-border e-commerce platform is solved, the user can browse and purchase commodities more conveniently and rapidly, and the user experience is improved. Through intelligent commodity recommendation based on historical orders, browsing history, identity information and big data analysis of the user, keyword recommendation is performed by using the deep convolutional neural network, commodities better conforming to preferences of the user are recommended for the user, higher personalized experience is provided, and the satisfaction degree and the purchase rate of the user are improved.

The application relates to the technical field of data query, in particular to a query result acquisition method and device based on a large model and a medium, the method comprises the following steps: based on a preset large model, acquiring a result keyword sequence corresponding to a target result text output according to a target query statement, converting the result keyword sequence into target bitmap data of a bitmap data structure, and storing the target bitmap data in association with the target query statement in a preset database; when it is judged that the target query statement is received again, obtaining the corresponding result keyword sequence; based on the result keyword sequence, outputting a new result text through the preset large model, and taking the new result text as a current query result corresponding to the target query statement; by storing the logical relationship of the keywords in the query result, the application greatly reduces the occupation of the storage space, improves the query speed when repeatedly querying, and provides great convenience for repeated query of the user.

The invention discloses a multi-area contextual model self-adaption system and method for a rear car loader screen, and particularly relates to the technical field of car loader screen control, and the method comprises the steps: obtaining multi-mode feature data, such as a rear row gravity difference value, sound frequency, driving duration, a weather influence index and the like, respectively calculating different scene coefficients, scene feature data are formed and input to a scene prediction model, scene modes such as a child mode, a resuscitation inducing mode, a rest mode and a dating mode are predicted, the scene prediction model is constructed and trained based on the multi-dimensional feature data, meanwhile, a safety level is preset for a prediction result, and the adaptability and intelligent performance of the vehicle-mounted terminal screen are optimized. According to the method, different driving scenes are identified through accurate acquisition and calculation of the multi-mode feature data, and then a suitable scene mode is adaptively provided, so that the in-vehicle interaction experience and the driving safety are effectively improved, and innovative support is provided for an intelligent vehicle-mounted system.

The invention relates to a music playing linkage light method and system, computer equipment and a storage medium, and belongs to the technical field of vocal music light control. According to the invention, the playing device is connected to the vehicle end through the vehicle end interface, the vehicle end can be connected with the playing device, the vehicle end can carry out authentication and connection state management on the playing device, and the playing signal is analyzed to obtain the type of the playing device and the type of the played song. Based on the combination mode of the type of the music and the type of the playing device, the amplitude-frequency value corresponding to the sound signal collected in the vehicle end is recognized to adjust the color, the brightness, the flicker frequency and the lighting range of the lamplight array, meanwhile, according to the rhythm and melody of the music, lamplight is made to present different changing rhythms and modes, the personalized experience can be improved, and the user experience is improved. And interactivity and interestingness are increased, and applicability is high.

The invention relates to the technical field of writing, in particular to a handwriting self-adaptive correction system for a tablet personal computer, which comprises a handwriting input module; the template determination module is used for determining a handwritten target template; the handwriting feature acquisition module is used for acquiring the pause time of the writing action; a handwriting correction module; a correction display module; the feedback module is used for determining the correction angle and the correction smoothness in the process of correcting the characters into the handwritten target template; and a receiving module. The handwriting input module and the template determination module are used for comparing the input characters with the font template to determine the correction template, the handwriting feature acquisition module is used for determining the correction moment, and the handwriting correction module and the correction display module cooperate to correct and display the handwriting. And finally, a feedback module and a receiving module feed back the correction angle and the correction smoothness to the user, and perform correction based on user adjustment and determine whether a new handwriting template is generated or not, so that correction accuracy is ensured.

The utility model discloses a vehicle-mounted docking station with aromatherapy function, which comprises a mounting bottom shell, a fixed upper shell, a telescopic wire assembly, a USB charging mainboard and a fragrance structure, the telescopic wire assembly is arranged on both sides of the rear end of the mounting bottom shell, and the USB charging mainboard is arranged between the two telescopic wire assemblies, the fixed upper shell is covered on the mounting bottom shell, and the connecting end of the telescopic wire assembly is arranged in the connecting head fixing position of the fixed upper cover, the fixed upper shell is also provided with a charging hole corresponding to the USB charging mainboard, and the fragrance structure is installed at the front end of the fixed upper shell. The utility model combines the vehicle-mounted charging expansion and the aromatherapy function organically, realizes the dual purpose of charging and air improvement in the limited vehicle-mounted space, and improves the practicability and space utilization efficiency of the product.

The invention discloses a multi-theme application method based on a cascading style sheet. According to the method and the device, the theme style sheet selector is added in the application program, and the characteristics of the cascading style sheet language are utilized, so that the appearance and style switching of the application program under different themes is realized. Meanwhile, the method can also be used for managing and maintaining a plurality of themes, so that the user can conveniently switch the themes according to own preferences.

This application discloses a method for distinguishing left and right positions using a movable rear-seat control screen for vehicles, relating to the field of rear-seat control screen technology. The method includes the following steps: obtaining connection status information between the movable rear-seat control screen and the base of the rear door interior panel control screen; the connection status information includes the conduction status between the positive power port and the ground port, and the conduction status between the positive signal port and the negative signal port; and basing the method on the conduction status between the positive power port and the ground port. This application achieves flexible handheld operation and a stable plug-and-play experience through a mobile phone-like movable control screen combined with a plug-in structure and contact connection design, reducing the barrier to entry and improving human-computer interaction efficiency. Simultaneously, it identifies left and right positions through contact conduction and maintains the determination result, combining a time strategy to achieve functional isolation and dynamic energy consumption management, meeting the needs of multi-user independent control and privacy.

The utility model discloses a fascia gun with fingerprint identification, which comprises a gun body and a massage head, the gun body drives the massage head to do reciprocating motion, the gun body is provided with a central control module, the central control module is used for driving a motor in the gun body; the fingerprint identification module is used for identifying fingerprint information of a user; and the storage module is used for storing the fingerprint information and the motor driving information corresponding to the fingerprint information. The driving data of different users are recorded differently by identifying the fingerprint information of the users.

The invention discloses a data stream processing method and a multi-pixel lamp and whole vehicle interaction control system, and the data stream processing method comprises the following steps: S1, when a lamp works normally, a user initiates an animation data updating request through a large screen, and carries out the animation data updating of the lamp through a domain controller; s2, after the lamp executes updating operation, an updating state is fed back to the large screen through the domain controller; and S3, performing data synchronization after the lamp is awakened from the dormant state. According to the data stream processing method and the multi-pixel lamp and whole vehicle interaction control system provided by the invention, the multi-pixel lamp technology is introduced, and the advanced data stream processing method is combined, so that the interaction between the lamp and the whole vehicle is safer, more efficient and quicker.

The invention relates to the technical field of electronic commerce, artificial intelligence and information retrieval, and discloses a point shopping mall multi-modal search method based on a vectorization search architecture. According to the core scheme, the method comprises the following steps: receiving multi-mode search input of user texts, images, audios, videos and the like, realizing efficient transmission and fusion processing through RTC and ITC technologies, and generating unified semantic representation; in combination with LLM and ELCTRA algorithms, deep semantic understanding is carried out, and a user query intention vector is generated; the method comprises the following steps: constructing a commodity multi-modal feature vector library (encoding through an ELCTRA / ResNet-50 / WaveNet embedded model group) and a user portrait vector library, and constructing a dynamically updated vector index based on an HNSW algorithm; a candidate commodity set is retrieved by using an ANN algorithm, and personalized sorting is realized through an L2R sorting model (fusing multi-dimensional factors such as user portrait matching degree and commodity correlation); collecting user behavior data, and regularly finely adjusting model parameters and updating indexes through incremental learning. According to the method, the bottleneck of traditional keyword search is broken through, millisecond-level high-concurrency retrieval is realized, the search accuracy and personalized experience are improved, meanwhile, data support is provided for shopping mall operation, the problem of data drift is effectively relieved, and the method is suitable for high-concurrency and multi-mode search scenes of integral shopping malls.

The invention discloses a teaching method and system based on digital media, relates to the technical field of digital media teaching, and solves the technical problem that the learning effect of a user is poor due to the fact that personalized teaching service is not performed on the user in the prior art. Education resources of different education levels and identity information of users are collected, the education resources are graded based on the education levels to obtain level education resources, and the identity information is matched with the level education resources to obtain corresponding user level education resources; according to the error induction in the identity information, matching with the matching following resource to obtain an error type in the matching following resource, matching the error type with an error type table to obtain an error-prone type, and combining with the error resource to obtain a recommended educational resource; and after the user completes learning of the recommended education resources, collecting a feedback result of the user, calculating a resource score according to the feedback result, and optimizing the recommended education resources based on the resource score.

The invention provides an intelligent management method and platform for a VR head-mounted display charging cabinet, and the method comprises the steps: constructing a charging twin cabinet corresponding to the VR head-mounted display charging cabinet, obtaining a charging position and head-mounted display electric quantity of head-mounted display equipment, calling a head-mounted display model, placing the head-mounted display model at the charging position in the charging twin cabinet, and binding the head-mounted display electric quantity with the corresponding head-mounted display model to obtain a charging display space; project information sent by the experience end is received, a recommended taking-out position in the charging display space is determined according to the project information and the charging position, the charging display space is highlighted based on the recommended taking-out position, and a recommended display space is obtained; receiving a placement request of the experience end, obtaining the residual electric quantity and the charging frequency of the head display equipment corresponding to the experience end, and determining a recommended storage position according to the residual electric quantity, the charging frequency and the idle position in the charging display space; and counting the selection times of the experience end at each selection position, determining a preference position of the experience end based on the selection times, and generating a recommendation adjustment coefficient according to the preference position.