698results about How to "Increase attractiveness" patented technology

The invention provides a private domain live broadcast peak hot spot prediction and content scheduling method based on deep learning, and relates to the technical field of private domain live broadcast, and the method comprises the steps: extracting multi-scale time sequence features in private domain live broadcast historical data through employing a hybrid memory enhanced neural network, a live broadcast peak prediction result is generated through a spatial pyramid attention module and a progressive feature distillation network, a dynamic heterogeneous graph neural network is constructed, multi-modal data features and hierarchical comparative learning are combined, a live broadcast content scheduling strategy is output through a multi-agent reinforcement learning framework, a bidirectional interactive evaluation network is constructed, and a live broadcast peak prediction result is obtained. And performing online optimization on the scheduling strategy according to the real-time live broadcast data by using a fast adaptation algorithm of meta reinforcement learning to obtain an optimal content scheduling strategy.

The invention relates to the technical field of multimedia interaction, in particular to an intelligent interaction control method and system for digital exhibition hall multimedia equipment, and the method comprises the following steps: S1, carrying out the arrangement of a sensor, and carrying out the intelligent sensing and data collection; s2, generating an intelligent interaction strategy; s3, equipment cooperative control and execution; and S4, performing real-time feedback and system optimization. According to the method, user behaviors and environment data are collected in real time through the multi-modal sensor, user requirements are accurately speculated in combination with a deep learning algorithm, the optimal interaction strategy and task priority are generated, individuation and interaction efficiency of user experience are remarkably improved, multi-device cooperation is optimized through distributed task scheduling, and user experience is improved. According to the method, display content and environment parameters are dynamically adjusted, self-optimization of the system is realized by utilizing user feedback, real-time performance, smoothness and reliability of interactive experience of the exhibition hall are ensured, rapid fault response and accurate maintenance demand prediction are realized through anomaly detection and equipment log analysis, and the stability and sustainability of operation of the exhibition hall system are greatly improved.

The invention relates to the technical field of computer television image communication, in particular to a computer television all-in-one machine control method, system and device. The method comprises the following steps: through multi-view image acquisition and processing, generating a three-dimensional scene grid and carrying out scene element analysis to form a scene element set, then chasing limbs of a user, generating a user limb image set, restoring an environment basic tone, obtaining display content of the all-in-one machine and carrying out content semantic analysis, and finally obtaining a user limb image set. Calculating interaction intensity to obtain content interaction intensity data, speculating a user body language and performing user intention prediction in combination with the interaction intensity data, adjusting display content of the all-in-one machine based on the predicted user operation intention, generating simulation adjustment content, performing composition optimization through a scene element set, and generating updated display content. The method for controlling the computer and television all-in-one machine is more accurate and more efficient.

The invention relates to an interactive projection optimization method for an exhibition hall, and the method comprises the following steps: before projection is started, sensing the change of ambient light in the exhibition hall through a sensor, and evaluating the illumination conditions of different regions; acquiring a spatial layout in the exhibition hall by using a spatial modeling technology, and identifying wall surface and object shielding information of a projection area; gestures, actions and watching directions of audiences are captured in real time through a camera or infrared induction equipment; dynamically adjusting the projection content according to the action and position of the audience; comprising the following steps: when an audience approaches a certain exhibit, amplifying related projection content or switching to a detailed display mode; collecting behavior data of each audience including stopping time and interaction times of the audience in front of an exhibit; interest points of audiences are predicted through a machine learning model, and projection content related to audience interests is recommended; and adjusting the brightness and color parameters of each projector according to the actual projection area and content of each projection device.

The invention discloses a light-weight government affair questionnaire intelligent touch and analysis system and method based on a fusion message, and the system comprises an integrated message application platform operation interface which is used for the submission, application, strategy definition and transmission of a customer message; the questionnaire engine is used for generating questionnaires, issuing strategies and performing multi-dimensional statistical analysis on questionnaire results; the intelligent message scheduling engine is used for realizing AI generation of rich media messages, multi-channel intelligent reach distribution, optimal reach mode selection and summary analysis of reach mode results; and the electronic fence data engine is used for processing operator real-time signaling big data and capturing operator numbers and accurate touch short messages in a specified range. An efficient and convenient short message creation and auditing mechanism, flexible and diversified questionnaire construction, intelligent rich media message generation, accurate regional orientation and audience access, intelligent distribution, high interactivity, comprehensive and deep data analysis and report generation can be realized.

The invention relates to the technical field of parking lot operation, and discloses an optimal scheduling method for an intelligent parking lot of an intelligent community, the core of the method is to construct an intelligent parking decision model, the model models the scheduling process of the parking lot into a Markov decision process, and intelligent scheduling is realized by defining a state space, an action space, rewards and strategies. The reward function design comprehensively considers the parking space utilization rate, the vehicle access speed, the user satisfaction degree and the operation cost, and supports dynamic adjustment to meet actual requirements and user feedback. And carrying out model training by adopting a deep Q network algorithm, and evaluating a model effect through an A / B test. In the real-time scheduling stage, the method can collect the state information of the parking lot in real time, selects the optimal action according to the current state and strategy, and achieves efficient and intelligent parking management. The implementation of the invention is helpful for improving the overall intelligent level of the smart community, enhancing the attraction and competitiveness of the community, and providing powerful support for the construction and development of the smart community.

The invention discloses an amino acid phagostimulant for juvenile helichthys nobilis, which mainly comprises aspartic acid, glutamic acid, alanine, glycine, proline and methionine in a content ratio of (4-5): (5-6): (4-5): 3: 2: 1, and the six amino acids are reasonably compounded, so that the phagostimulant for the juvenile helichthys nobilis achieves the best phagostimulant effect on the juvenile helichthys nobilis. The invention also discloses a juvenile mollusca lanuginosa feed based on the amino acid phagostimulant, the juvenile mollusca lanuginosa feed comprises a basal feed and the phagostimulant, and the mass percentage content of the phagostimulant in the juvenile mollusca lanuginosa feed is 0.79-0.96%. The amino acid phagostimulant is added into the basal feed, so that the food-calling fresh fruit of the young mollusca is obviously higher than that of traditional baits, the increase rate of the body weight and the body length of the young mollusca is higher, the survival rate is maximum, and the application prospect is very good.

The invention relates to the technical field of synthetic fibers, in particular to a high-elasticity textile fiber and a preparation process thereof. The high-elasticity textile fiber is prepared from the polyurethane-polyamide elastomer and the modified diatomite master batch through melt spinning, drafting and winding. According to the invention, hydroxyl-terminated polydimethylsiloxane is used as polyol, and the molar ratio of the polyurethane prepolymer to the polyamide prepolymer is controlled, so that the prepared polyamide-polyurethane elastomer slice has good heat resistance; the molar ratio of isocyanate to polyol and the molar mass ratio of caprolactam to adipic acid are controlled, so that the prepared textile fiber is excellent in mechanical property; 2, 2-dimethylolpropionic acid is used for a chain extension reaction, the molar ratio is controlled, the moisture regain of the prepared textile fiber is 8.58%, and the moisture absorption is high; the diatomite is modified by the quaternary ammonium salt compound, and the addition proportion is adjusted, so that the prepared spinning fiber has good antibacterial performance.

The invention provides an AI-driven multi-dimensional short video matrix analysis and management system, and relates to the technical field of information prediction.The AI-driven multi-dimensional short video matrix analysis and management system is characterized in that audience modal information when a short video is played is obtained by performing audience verification on a traffic feature set, and click attribute information when a short video user clicks the short video is determined according to the audience modal information; determining audience acceptability of the short video content according to the access like data, and determining a delivery matching coefficient during short video delivery according to the audience acceptability and the click attribute information; according to the behavior characteristic information, determining a perception monster degree when the short video user watches the playing of the short video; and performing trend analysis on the dynamic interest tag of the short video user according to the delivery matching coefficient and the user behavior sequence subjected to the correction constraint, so as to perform short video recommendation on the short video user. According to the method, the user experience and the platform activity degree can be improved under the influence that dynamic interests and complex preferences of the user are difficult to accurately capture from the recommended content.

The invention discloses a chart labeling method, a model training method, electronic equipment and a storage medium, and relates to the technical field of data visualization and chart labeling. The method comprises the steps that data features of an input data set and a selected chart type are obtained, the data features are used for determining a statistical object of the input data set, and the chart type is used for determining a visual chart display mode corresponding to the input data set; analyzing the data features and the chart type by adopting a target chart recommendation model to obtain a labeling object; based on the annotation attribute of the annotation object, an initial annotation result matched with the chart type is generated, and the initial annotation result is used for recommending an annotation form corresponding to the annotation object. The technical problems that the configuration process of a data visualization tool is tedious and the interaction mode is not visual enough in the prior art are solved.

The invention provides an intelligent dynamic pushing method and device based on marketing canvas construction, equipment and a medium, and the method comprises the following steps: obtaining basic data of a marketing canvas, and constructing a marketing canvas model according to the basic data; adjusting a marketing pushing strategy weight according to the real-time behavior and historical preference of the user; on the basis of the adjusted marketing pushing strategy weight, a pushing path is optimized according to user feedback and context information; based on the generation model, automatically generating personalized contents of the user and evaluating a pushing effect in real time; according to the method, a marketing canvas model based on multiple data is constructed, data such as products, customers, channels and communication strategies are combined, and real-time behaviors of users are dynamically analyzed and predicted by using a deep learning model. In this way, the accuracy of the user portrait can be improved, the pushing strategy can be updated and adjusted in real time, and therefore accurate personalized pushing is achieved.

The invention provides an emotion synchronous visual design system based on multi-modal biological feedback, and aims to dynamically adjust visual design elements by analyzing physiological signals of a user in real time, so that the emotion experience of the user is enhanced. According to the system, various biological feedback sensors such as heart rate, skin conductance and brain wave sensors are utilized, an advanced data processing algorithm is integrated, and the emotional state of a user is accurately captured and analyzed. And then, the system changes visual elements such as colors, shapes and layouts in real time through a dynamic visual design adjustment module so as to match and respond to emotional changes of the user. In addition, the system further comprises a real-time feedback and interaction module and a personalized learning and optimization module so as to provide personalized visual experience and continuously optimize user interaction. The system not only improves the interactivity and attraction of the user interface, but also deepens the emotional relation between the brand and the consumer, and has important commercial application value and market potential.

The invention belongs to the technical field of CPVC pipe preparation, and provides a high-strength toughened CPVC pipe and a preparation method thereof. Firstly, butadiene and divinyl benzene are copolymerized to form a high-crosslinking structure, rigid support is provided, butyl methacrylate and acrylonitrile are copolymerized, flexibility and polarity are adjusted, interface bonding force is enhanced, and acrylic acid, epoxy acrylate and ethyl methacrylate are copolymerized to optimize compatibility with a matrix; secondly, through copolymerization of monomers such as 2-sulfonic acid ethyl methacrylate, polyethylene glycol methacrylate and dimethylacryloyloxyphosphonic acid, the polarity and flexibility of the compatilizer are adjusted, and the interface bonding strength of the compatilizer to a CPVC matrix and a modified elastomer is improved, so that the mechanical property of the composite material is remarkably improved; finally, nano SiO2 is subjected to surface modification through a silane coupling agent, so that the dispersity of the inorganic filler and the binding force with a matrix are improved, and the rigidity and the thermal stability of the composite material are enhanced.

The invention discloses a multifunctional flushing aspirator and a using method thereof, and relates to the technical field of medical instruments. The external pipeline mechanism is arranged in the handle, is connected with an external flushing device and a negative pressure device, and is used for switching flushing operation or suction operation; one end of the flushing suction tube is installed on the handle, the end, connected with the handle, of the flushing suction tube is communicated with an external pipeline mechanism, and the flushing suction tube is driven by the external pipeline mechanism to flush and suck a designated position; the flushing suction tube is sleeved with the outer sleeve in a sliding mode, one end of the outer sleeve is installed on the handle through a first telescopic mechanism, and the other end of the outer sleeve is provided with a screen part. While the flushing suction tube is used for realizing full-effect suction of liquid, the flushing suction tube can extend out of the screen part of the outer sleeve when needed so as to realize the effect of preventing blockage during suction.

The invention relates to the technical field of shearing devices for unmanned aerial vehicle production, in particular to a cutting device and method for unmanned aerial vehicle production. The device comprises a workbench, a cutting disc cutting device body is arranged on the workbench, and a cutting disc is arranged below the cutting disc cutting device body and used for cutting an unmanned aerial vehicle; a water adding device is arranged on the cutting disc cutting device body, a mounting cylinder is further arranged on the workbench and close to the cutting disc, the two sides in the mounting cylinder communicate with a dust suction pipe and an air blowing pipe correspondingly, a second negative pressure fan is arranged at the position, located at the communicating position of the dust suction pipe, in the mounting cylinder, and a water adding pipe communicates with the position, located above the second negative pressure fan, of the mounting cylinder. The water adding pipe is communicated with the water adding device, the second negative pressure fan is used for scattering water sprayed into the mounting cylinder by the water adding pipe, positive pressure generated by the dust suction pipe blows the water to the back of the rotating direction during cutting of the cutting disc, and the temperature of the cutting disc and the cutting position is rapidly reduced through cooperation of the water adding device, the air blowing nozzle and the dust suction cover.

The invention relates to the field of order data analysis, and particularly discloses a digital commodity order data analysis system and method based on big data, and the method comprises the steps: firstly obtaining digital commodity order purchase channel information, digital commodity order data and user behavior logs collected by a database, and then carrying out the deep learning technology, and feature extraction and correlation analysis are carried out on the three items, and finally, a personalized user purchase correlation analysis commodity recommendation list report is generated through a generator, so that the correlation and attraction of the commodities are improved, the user resource upper limit is deeply matched, and the business growth and the user satisfaction are promoted.

The invention provides a product recommendation method and device, electronic equipment, a storage medium and a program product. The method comprises the steps of obtaining a query vector; retrieving in a product vector database based on the query vector to obtain a plurality of initial product data; obtaining user basic data and historical behavior data; based on the multiple pieces of initial product data, the basic data and the historical behavior data, performing training through a product recommendation probability prediction model to obtain multiple pieces of target product data; and generating recommendation content of each piece of target product data. According to the product recommendation method provided by the invention, the query vector is generated, rapid matching with the product vector is realized in the product vector database, basic data and historical behavior data are combined on a retrieval result, model input is optimized, and meanwhile, short-term interest and long-term interest are fused in an attention mechanism of the model, so that the product recommendation efficiency is improved. Therefore, the target product data obtained based on the model can better fit the interest of the user on different time scales, and the content is recommended according to the generated accurate product.

The invention relates to the technical field of intelligent voice interaction, in particular to an AI mobile phone voice interaction method oriented to automatic marketing, which comprises the following steps of: providing a comprehensive basis for personalized marketing and improving the marketing pertinence by recognizing a user emotional state and a real-time user intention in parallel and mastering the user state; an emotion state transition network is dynamically constructed and updated, key indexes are extracted, and a user emotion change rule is analyzed, so that an interaction strategy is accurately adjusted; semantic fragments are recombined by combining emotional stability and emotional infection degree indexes, adaptive dynamic marketing verbal skill is generated, the attraction and persuasion of the verbal skill are enhanced, and the marketing effect is improved; the local NPU is utilized to synthesize emotional voices and superpose features, so that natural and vivid interaction experience is provided, and recognition of a user on marketing content is enhanced; through dynamic decision-making verbal skill strategy cross-scene switching, timely adjustment is carried out according to user changes, marketing strategy stiffness is avoided, and the marketing success rate is guaranteed.

The invention relates to the technical field of information, in particular to an artificial intelligence advertisement publishing method, which comprises the following steps: collecting and preprocessing advertisement data, so that the data is more standardized and consistent, and the quality of the data is effectively improved; by establishing the sentiment analysis model, the sentiment polarity of the input vector can be accurately estimated, the individuation degree of the advertisement is improved, and meanwhile, a sentiment basis is provided for individualized advertisement creativity; by training the sentiment analysis model and updating model parameters by using a gradient descent method, the performance of the model can be continuously optimized, and the accuracy of sentiment classification is improved; by obtaining the user feedback data and calculating the comprehensive user feedback index, the effect of the personalized advertisement creativity is evaluated, targeted adjustment and optimization are facilitated, and the overall effect of the advertisement and the user experience are improved. The invention is used for solving the technical problem of poor advertisement release effect in the existing scheme.

The invention relates to the technical field of data analysis, in particular to an experience degree analysis method for an offline experience scene, and the method comprises the steps: obtaining the stay duration and interaction times of a target; identifying a to-be-monitored area and a temporary monitoring area; abnormal interaction is recognized, and the grid step length is adjusted; obtaining an experience score of the interactive device; the grid step size and the acquisition interval are adjusted to improve the experience score. According to the method, the behavior change of the target can be more flexibly adapted by dynamically adjusting the grid step length and the acquisition interval, so that the accuracy and the real-time performance of data acquisition are improved, the fluctuation condition of target experience can be acquired in different time periods based on analysis of historical data, a powerful basis is provided for subsequent site optimization and equipment improvement, and the method is suitable for popularization and application. According to the method, the exhibition attraction can be increased, scientific decision support is provided for venue managers, the exhibition effect is continuously optimized and improved finally, and the problem that exhibition experience output is fuzzy due to insufficient interaction data analysis is effectively solved.

The invention provides a curling match video description method based on a large language model. According to the method, the videos are intelligently analyzed, and detailed text description is generated, so that curling players can more deeply know each detail of a match with less time, detailed tactical analysis and action guidance are provided, and the skill level of the players can be improved more quickly. According to the method, the advantages of a video analysis technology and a large language model are combined, comprehensive, detailed and deep natural language description of curling match videos is achieved, the accuracy and comprehensiveness of curling match video description are improved, and richer match information and analysis means are provided for audiences and coaches.

The invention is suitable for the technical field of advertisement pushing, and particularly relates to a digital media advertisement pushing method and system, and the method comprises the steps: dividing an internal region of a shopping mall into a plurality of sub-regions, each sub-region corresponding to a category, marking the deployment position of a Bluetooth gateway in each sub-region, and carrying out the pushing of a digital media advertisement through the Bluetooth gateways, reading a Bluetooth beacon signal of the visitor, extracting a unique identifier, acquiring consumption data of the visitor through pre-bound identity information, and determining an interest category of the visitor; acquiring video monitoring data of an entrance and an exit of the shopping mall, and identifying the number of visitors; and if the number is 1, passing the identity information. According to the method, the same item is pushed to all the visitors of the same bank, so that not only can personalized commodity recommendation and promotion information be pushed, but also attention and interaction of the visitors to the information can be increased, the attraction of the advertisement is improved, and thus the advertisement pushing accuracy and the participation degree of the visitors are improved.

The invention relates to the technical field of live broadcast systems, and discloses a multi-scene live broadcast system, which comprises an acquisition module, an encoding module, a transmission module, a processing module, a storage module, a playing module and an interaction module, and is characterized in that the acquisition module, the encoding module, the transmission module, the processing module, the storage module, the playing module and the interaction module are arranged; the system can meet the requirements of various scenes such as live broadcast with goods, online education, entertainment live broadcast and the like, provides more flexible and diversified live broadcast services, adopts advanced coding technologies such as an AAC encoder and an H.264 encoder, carries out quantization processing, improves the compression efficiency and transmission stability of audio and video data, improves the quality of live broadcast pictures and sounds, and improves the user experience. The problems of jamming, distortion and the like are reduced; the interactive experience can be enhanced, the interactive experience between the users is enhanced through the arrangement of the interactive module, the users can participate in live broadcast through various interactive modes, and the participation sense and the satisfaction degree of the users are improved.

The invention discloses a digital human live broadcast strategy generation method and device, computer equipment and a storage medium. According to the specific implementation scheme, the method comprises the following steps: calculating the association degree of an associated live video and a current live video in a preset time interval based on a multi-modal association degree calculation mode, and obtaining an association degree calculation result; determining a dynamic digital human model corresponding to the associated live video according to a predetermined basic digital human model and the association degree calculation result; and determining a fusion live broadcast strategy according to the basic digital human model, the personalized digital human model and the dynamic digital human model. According to the method, the fusion live broadcast strategy is determined according to the digital human models corresponding to the multi-dimensional data, dynamic changes in a live broadcast scene can be well adapted, a comprehensive live broadcast decision is made in time, and differentiation of the digital human models is further considered through multi-modal correlation degree calculation, so that the live broadcast effect is improved.

The invention is applicable to the field of advertisement putting, and discloses an interactive advertisement putting method, which comprises the following steps of: making advertisement content; setting an interaction element in the advertisement content; putting the made advertisement content to a target platform; collecting and analyzing interaction data of the user; and adjusting the display speed and the switching speed of the interactive elements based on the interactive data of the user. The interaction elements are arranged in the advertisement content, and the display speed and the switching speed are dynamically adjusted according to the real-time feedback of the user, so that the participation degree and the interaction experience of the user can be remarkably improved. For users with high interestingness and concentrated attention, the display speed is properly reduced and the interaction time is prolonged, so that the understanding and memory of the users on the advertisement content can be deepened; and for the users with low interestingness and distraction, the switching speed is accelerated to attract the attention of the users and maintain the participation degree of the users, so that the participation degree and retention rate of the users are improved, the click rate and conversion rate of the advertisement are increased, and the maximization of the advertisement effect is realized.

The double-channel electromagnetic control valve comprises an electromagnet and a controller arranged on one side of the electromagnet, the controller at least comprises a barrel extending in the axial direction of the electromagnet, a hole A and a hole B are formed in the outer circumferential face of the barrel in a front-back split mode, a hole P is formed in the free end side of the barrel, and a hole B is formed in the outer circumferential face of the barrel. A steel ball capable of selectively sealing the P hole is arranged in an inner cavity of the free end of the cylinder body; a containing cavity is formed in the cylinder body, a push rod driven by the electromagnet is arranged in the containing cavity, the diameter of the end side of the push rod is smaller than that of the hole P, and at least part of the push rod can extend out of the hole P; the push rod is sleeved with a sealing plug capable of selectively separating a communication channel between the hole A and the hole B. The device has the advantages that under the condition that the coil is not powered on or powered off, the steel ball is completely attached to the P hole all the time under the action of hydraulic oil, the situation that the hydraulic oil leaks can be avoided, and safety is improved.

The invention discloses a method and device for intelligently generating a video cover, equipment and a storage medium, and belongs to the technical field of artificial intelligence. According to the invention, by analyzing the video elements, the core content of the video can be more accurately captured, and the attractive and representative cover is generated; the preset initial cover template is updated by using the video elements, personalized cover templates can be generated according to different video elements, and more diversification and aesthetic feeling are provided; the video elements are filled in the cover template to form the personalized video cover, the editing time and labor of the user are reduced through the intelligently generated cover, and an efficient and automatic cover generation mode is provided. The invention further relates to the technical field of block chains, and the target video can be stored on a block chain network node. According to the intelligent video cover generation scheme based on the video elements and the cover template, the quality and attraction of the video cover are improved, and meanwhile, the use experience and efficiency of the user are also improved.

The invention relates to the technical field of teaching equipment, and discloses an online teaching auxiliary device for oral language teaching of teachers, which comprises a fixed support column used for the structure and installation of all structures, a fixed support column matched with a fixed disc I for fixing a scissor-type support mechanism I, a fixed support column matched with a fixed disc II for fixing a scissor-type support mechanism II, and a fixed support column matched with a fixed disc II for fixing a scissor-type support mechanism II, the two-way transmission mechanism and the operation motor are located at the top of the fixed supporting column and matched for automatic unfolding of the first shear type supporting mechanism, and the first shear type supporting mechanism, the shear type linkage mechanism and the second shear type supporting mechanism are synchronously unfolded through the linkage column. Students can practice and cope with various situations in a safe environment, so that the adaptive capacity and decision-making skills of the students are improved, the system covers multiple aspects of oral teaching, comprehensive education content is provided from reception, reservation to dispute handling, it is ensured that the students can comprehensively understand and master various aspects of oral teaching, and the teaching efficiency is improved. And visualization and multi-sensory learning are realized.

The invention discloses an image generation method and system, electronic equipment and a computer program product, and relates to the field of large model technology and image processing. The method can comprise the steps that an initial scene image to be processed is determined, and the image content of the initial scene image comprises at least one display object; determining an auxiliary object image to be drawn at a target position in the initial scene image; based on the auxiliary object image, the target position and the initial scene image, a posture image and an object mask image of the auxiliary display object are determined, the posture image is used for representing the posture of the auxiliary display object, the object mask image is used for representing an image area where the auxiliary display object is located in the initial scene image, and the image area comprises the target position; and analyzing the attitude image, the object mask image and the initial scene image by using the redrawing model to obtain a target scene image. The technical problem of low image generation accuracy is solved.

The invention discloses an enterprise product marketing management system, which comprises a real-time data analysis module, a personalized recommendation module, an integral incentive module, an operation tool integration module and a profit and loss analysis and report module, all interaction behaviors of a user on a platform are captured through a real-time data analysis module, a user portrait is created according to behavior data and preferences of the user through a personalized recommendation module by utilizing deep learning and machine learning technologies, and an integral acquisition rule and a use mode are defined through an integral incentive module. According to the invention, the marketing strategy is optimized, the attraction and incentive effect of the marketing strategy is increased, the operation tool integration module is utilized to provide a background management tool which comprises commodity management, order management and directional pushing functions, and enterprises are helped to optimize the marketing strategy and improve the operation efficiency.