2892 results about "Broadcasting" patented technology

The invention relates to the technical field of data processing, and discloses a PTP network performance monitoring method and system based on big data analysis, and a medium. The method comprises the following steps: acquiring PTP message data, equipment state data and RTP stream data; preprocessing the data and calculating a clock error; constructing a time sequence database and an analysis model; real-time monitoring and anomaly detection are executed; performing performance scoring and fault positioning by applying machine learning; and carrying out network optimization and predictive maintenance. According to the PTP network performance monitoring method based on big data analysis, global state monitoring, intelligent anomaly detection, accurate fault positioning and predictive maintenance of the PTP network are achieved, and therefore the high-precision time synchronization requirement of a broadcast and television IP making and broadcasting system is guaranteed.

The invention provides an HPLC (High Performance Liquid Chromatography) station area cooperative communication method based on clock synchronization, which comprises the following steps: step 1, multi-dimensional data acquisition and broadcasting: each concentrator periodically acquires clock precision, stability and reliability data, and sends a beacon frame containing a timestamp and a health degree score through a power line carrier broadcasting channel; step 2, dynamically calculating the index distinction degree by using an entropy weight method, adaptively allocating weights, and electing an optimal main CCO in real time; step 3, dual-mode PID cooperative control: the main CCO adopts a dual-mode switching strategy of a dynamic PID algorithm and a chaotic fractional order PID algorithm; 4, monitoring a synchronization state in real time by constructing a clock check network, and optimizing a fault isolation strategy in combination with weighted scoring to realize that the state switching time of the master node and the slave node is less than or equal to 50ms; cooperative communication is realized on the basis of completing synchronization of the concentrators CCO in the whole network. Redundant message transmission is reduced through a dynamic parameter resynchronization mechanism, and the utilization rate of network resources is optimized.

The invention discloses a digital intelligent teaching recording and broadcasting system and method, and relates to the technical field of data encryption, and the method comprises the steps: collecting teaching videos and audios of a teacher through a high-definition camera and an audio device, carrying out the preprocessing, obtaining the course content, recognizing the key information of the course content through a natural language processing NLP and computer vision technology, and carrying out the recording and broadcasting. The method comprises the following steps: segmenting a video into single knowledge point fragments, performing classified storage, forming a learning resource library, collecting basic information and learning habit data of students, constructing a user portrait, matching learning resources, extracting the learning habit data in the user portrait, performing feature extraction, and obtaining a comprehensive feature vector; constructing a learning state evaluation model by using a convolutional neural network to comprehensively analyze the comprehensive feature vector to obtain a learning state comprehensive score, formulating a playing strategy according to the learning state comprehensive score and matched learning resources, regularly testing knowledge points of students, evaluating the mastering degree of the students, and updating a user portrait according to a result.

The invention discloses a wireless screen projection management system and method based on the Internet of Things technology, and belongs to the technical field of the Internet of Things. In the system, equipment is registered through an Internet of Things platform, the Internet of Things is used for automatic equipment discovery and automatic equipment broadcasting, and a control center identifies and manages newly-added equipment; a user initiates a wireless screen projection request, and the control center authorizes and manages the request based on a preset strategy; a data compression algorithm is adopted to reduce transmission data volume; analyzing the network condition in real time by using a deep Q network algorithm, and dynamically adjusting a data transmission strategy; recording screen projection quality parameters, analyzing historical screen projection data by using an artificial intelligence algorithm, predicting potential problems, providing optimization suggestions, and dynamically allocating and adjusting network bandwidth and equipment resources; collaboration among the equipment is realized by using the Internet of Things; faults occurring in the screen projection process are monitored in real time, a decision tree algorithm is used for analyzing fault causes, and recovery measures are automatically taken.

An embodiment of the present application provides a method and an apparatus for generating live-streaming content, where the method for generating live-streaming content includes: using a virtual character to carry out a live-streaming for a live-streaming theme, where the live-streaming theme corresponds to a live-streaming theme text with a first narrative style; driving the virtual character to broadcast the live-streaming theme text in a first broadcasting style; prompting a viewing user of theme interaction information related to the live-streaming theme through the virtual character; acquiring multiple pieces of theme feedback information related to the theme interaction information of the viewing user; generating at least one target keyword based on the multiple pieces of theme feedback information; acquiring a live-streaming interactive text with a second narrative style associated with the at least one target keyword; and driving the virtual character to broadcast the live-streaming interactive text in a second broadcasting style.

The invention discloses a construction site safety monitoring method and system based on a large model and RAG, and the method comprises the steps: carrying out the intelligent analysis of real-time video data of a construction region based on a visual large model, and recognizing the behavior safety, violation operation, dangerous facilities and environment risks of construction personnel; adding a time label to the analyzed security event text to form a construction site security event log; reasoning and analyzing the security event log, determining whether security early warning is generated or not, and pushing early warning information; carrying out on-site intelligent voice broadcasting according to the early warning information; through a multi-RAG architecture, a construction site safety log database, a public construction safety management database and an enterprise internal safety management database are constructed, and construction safety information is stored by using a vector database and a graph database. By adopting the technical scheme of the invention, the problems of insufficient real-time monitoring capability, limited intelligent analysis capability and lack of effective knowledge base support in the existing construction site safety supervision are solved.

A method of controlling a broadcast receiver and which includes displaying a broadcast program on a screen of the broadcast receiver, determining if a broadcast-related information enlargement mode is selected, and enlarging the broadcast-related information on the screen of the broadcast receiver when the determining step determines the broadcast-related information enlargement mode is selected.

The invention discloses a multi-modal security fence method based on vector matching. The method comprises the following steps: acquiring to-be-audited information, loading a pre-training model set, vectorizing the to-be-audited information, and generating to-be-audited vectors; the to-be-audited information comprises a live broadcast real-time stream and a newly added media file; establishing connection with a violation vector database set, wherein the violation vector database set comprises vector features of various types of violation data; according to the violation vector database set, obtaining the compliance similarity of the to-be-audited vector, and judging whether the to-be-audited information is safely broadcasted or not; the pre-training model set is composed of a text vector model, a picture vector model and a tone vector model, and is used for generating vector information from various types of to-be-audited information. According to the technical scheme, the text, the picture, the audio and the video of the media asset can be detected, intercepted and modified in all directions, the broadcasting safety is ensured, the content auditing efficiency is greatly improved, and the broadcasting safety is ensured.

The invention discloses an intelligent news broadcasting system and method based on deep learning, and the method comprises the following steps: S1, constructing a multi-modal news data set, carrying out the semantic coding, and generating a preliminary semantic feature; s2, extracting a time feature by using a dynamic time convolutional network, and generating the time feature and a hierarchical semantic feature through a hierarchical Transform; s3, performing cross-modal alignment on the time features and the hierarchical semantic features to generate cross-modal fusion features; s4, performing multi-scale semantic modeling, constructing a dynamic event tree, and generating a multi-scale dynamic semantic structure; s5, inputting the multi-scale dynamic semantic structure into the improved three-stage generative network to generate summary, details and predictive broadcast content, and pushing the summary, the details and the predictive broadcast content; s6, optimizing a dynamic event tree and a semantic generation rule in combination with user feedback; and S7, synchronously outputting the optimized broadcast content in the forms of characters, voices and videos. According to the method, deep learning, multi-modal alignment, a dynamic modeling method and the like are combined, so that intelligent news broadcasting is realized.

The invention provides a live broadcast room recommendation method and system, and the method comprises the steps: collecting the historical browsing data of a user, carrying out the analysis of the historical browsing data, and determining the multi-dimensional key interest features of the user and the weight coefficient of the key interest feature of each dimension; extracting live broadcast labels of the live broadcast rooms, and traversing the live broadcast labels based on the multi-dimensional key interest features and the corresponding weight coefficients to obtain preference popularity values of the live broadcast rooms; and obtaining a to-be-recommended live broadcast room based on a sorting result of the preference popularity values, recommending the to-be-recommended live broadcast room to the user, dynamically updating browsing data of the user, and synchronously and dynamically updating the to-be-recommended live broadcast room based on a dynamic updating result. According to the invention, highly personalized live broadcast room recommendation can be realized, diversified and unique interest requirements of users are met, the probability of finding interested live broadcast rooms by the users is improved, the experience and satisfaction of the users on a live broadcast platform are effectively improved, and the viscidity and activeness of the users to the platform are enhanced.

The embodiments of the present disclosure relate to a live broadcasting comment presentation method and apparatus, and a device and a medium. The method is applied to a viewer end, and comprises: playing a live broadcasting video in a live broadcasting page, and presenting comment content of the live broadcasting video in a first area of the live broadcasting page; when the live broadcasting video meets a preset trigger condition, converting target comment content in the comment content into a target bullet curtain; and presenting the target bullet curtain in a rolling manner in a second area of the live broadcasting page, and presenting a bullet curtain control.

The invention discloses a communication method and system based on a wireless ad hoc network technology, and belongs to the technical field of wireless communication, and the method comprises the steps: obtaining the multi-dimensional state information of a local node, and generating a node state beacon for broadcasting; receiving a node state beacon from a neighbor node; calculating a stability index of a link connected to the neighbor node; calculating the transmission energy efficiency cost of the link; a total path security performance score is calculated for each candidate path in the network. According to the method, the multi-dimensional state information is introduced, the decision basis is more comprehensive, the relative motion trend of the nodes can be evaluated by calculating the motion velocity vector, so that the stability of the link is pre-judged instead of passively responding after the link is interrupted, and the problem of frequent change of the network topology is effectively solved.

The invention provides a video processing method, a recording and broadcasting system, electronic equipment and a computer readable storage medium, and relates to the technical field of video processing, the method comprises the following steps: obtaining a panoramic classroom video and video editing information, the video editing information comprising related description information of a target video expected to be generated through the panoramic classroom video by a user; generating a mirror moving parameter and a shooting parameter of the virtual camera according to the video editing information; determining a first interested picture which accords with the description of the video editing information from the panoramic classroom video according to the mirror operation parameters; performing image reconstruction processing on the first interested picture according to the mirror operation parameter and the shooting parameter to obtain a second interested picture; and generating a target video according to the second interested picture. According to the method and the device, the teaching video which has the mirror moving effect and meets the requirements of the user is quickly generated under the conditions that manpower is not consumed and a mirror moving technology is not needed.

The invention particularly relates to an emergency broadcast intelligent early warning system applied to disaster prevention and reduction, and relates to the technical field of communication. The redundant communication and self-adaptive switching module is configured to establish a multi-mode communication network, monitor link states in real time and realize intelligent switching and load balancing of communication links based on a dynamic algorithm; an intelligent decision-making and precise broadcasting module; and the emergency broadcast terminal is connected with the offline execution module. According to the invention, a multi-mode communication architecture is established, each link monitors parameters such as signal strength, delay, packet loss rate and the like in real time, and intelligent switching and load balancing are carried out through a dynamic routing algorithm; and meanwhile, on the basis of memory thermal characteristic analysis, link faults are pre-judged in advance, switching is triggered, the success rate of early warning information transmission under extreme disasters is ensured, and the problem of transmission interruption of traditional single link communication under the scenes of power failure, base station damage and the like is solved.

The invention belongs to the technical field of artificial intelligence and multimedia processing, and discloses a multi-modal content conflict resolution method based on modal time sequence dependence modeling, which comprises the following steps of: constructing a modal representation vector by unifying time, space, semantics and priority information of modeling modal contents; and further structuring and quantifying complex dependency and conflict relationships among different modal contents by utilizing a modal time sequence dependency graph, and constructing a context relationship by combining a graph neural network, so that the system can identify conflicts of the contents in time, space and semantic levels, and realizes self-adaptive content reordering and display configuration based on conflict scores. According to the method, the limitation of traditional single-dimension conflict detection is overcome, the accuracy rate and the coverage range of conflict identification are improved, the method can be widely applied to multi-modal content-intensive scenes such as intelligent media generation, AI broadcasting, virtual navigation and XR interaction, information shielding and semantic redundancy are reduced, and the interaction experience of users and the system content quality are enhanced.

The present application relates to a method for preventing a false triggering of a live streaming risk control, a device, and a product, the method includes responding to an instruction of starting a virtual live streaming, starting an e-commerce live streaming room on an e-commerce platform; obtaining a speech list from a speech server, the speech list including speech texts corresponding to business links of a same live streaming business process; generating a portrait oral video corresponding to each of the speech texts based on a template video, the template video having a preset required duration, and each image frame of the template video comprising a facial image collected based on a same person; implementing a virtual live streaming activity by pushing the portrait oral video corresponding to each speech text to the e-commerce live streaming room, according to the live streaming business process.

The invention discloses a wind and light storage and charging micro-grid distribution optimization method and system. The method comprises the following steps: acquiring parameter data of each node in a micro-grid in real time; constructing a load demand prediction model, and automatically adjusting the scheduling weight coefficient of the wind and light storage and charging equipment according to the weather type; based on a model output result, establishing a matching relationship between the line impedance and the load emergency degree, generating a power supply path set, and creating a power path selection mechanism based on a dynamic planning algorithm; calculating real-time charge-discharge efficiency based on the equivalent resistance parameter of the power supply path, and dynamically adjusting a charge-discharge rate threshold according to a prediction error; acquiring a real-time monitoring load curve, calculating the similarity between the load curve and historical data, and matching and identifying a potential sudden change risk; and according to a distributed negotiation protocol, each node achieves a scheduling consensus through a priority broadcasting mechanism. The method has the advantages that through load prediction and dynamic scheduling, optimal scheduling, power fluctuation stabilization and sudden change risk identification of the wind and light storage and charging equipment are realized.

The invention relates to the technical field of energy system control, and discloses a distributed cooperative fault-tolerant control method for a multi-energy-station cooling and heating system, and the method comprises the steps: enabling each energy station to measure and calculate a residual error based on a physical model and a sensor, forming a normalized health index, and carrying out the neighborhood broadcasting; carrying out robust anomaly judgment by utilizing a neighborhood median and a median absolute deviation, and isolating an abnormal site; cost coefficients are automatically generated for available sites according to equipment maneuverability, and control redistribution of minimum disturbance is solved and implemented through distributed consistency optimization; an exponential weighting updating mechanism of a residual error sequence is adopted to carry out online self-adaption on a noise baseline and a judgment threshold value so as to realize closed-loop self-calibration; when sensor abnormity, equipment errors or individual station faults occur in the multiple energy stations which work cooperatively, distributed rapid identification is achieved, faults are isolated, energy supply is redistributed with minimum disturbance, system control requirements are met, and equipment safety constraints are kept.

The invention discloses a broadcast television network security operation method and system based on a large model, and the method comprises the steps: collecting log, network flow and terminal behavior data in real time, storing the data in a Kafka message queue, receiving the data through an AI intelligent noise reduction module, extracting alarm text semantic features through an XLM-ROBERTa model, and carrying out the noise filtering through combining with a multi-classification model, thereby obtaining high-value data; inputting the high-value data and security document knowledge corresponding to the network threat intelligence into an RAG knowledge base module, generating enhanced context information data through knowledge extraction, vectorization storage and similarity retrieval, inputting the enhanced context information data into a cue word of a reply model, and outputting a first threat analysis reply; inputting the high-value data and the first threat analysis reply into a multi-model MOE architecture, distributing tasks through a gating network, integrating expert network output results, and generating a second threat analysis reply and a corresponding attack thermodynamic diagram; and executing feedback optimization operation of the corresponding module based on the second threat analysis reply, thereby improving the safety operation efficiency of the broadcast television network.

The invention relates to a multi-modal virtual human real-time generation method based on an expression control embedding space, and belongs to the field of artificial intelligence. According to the method, an expression control embedding space is constructed and used for fusing voice semantics, a rhythm structure and multi-dimensional emotion information, and continuous and controllable multi-modal driving vectors are generated. The whole system has an end-to-end linkage mechanism from audio input to expression and action output. Semantic features, rhythm structures and emotional states jointly act on generation paths of lip and upper body postures and expression modalities, and all modal features are fused and expressed in a unified control space through a collaborative coding and time sequence alignment mechanism. And finally, a high-consistency and high-fidelity virtual human video is generated in real time through an output scheduling mechanism. The method has remarkable advantages in the aspects of modal fusion consistency, generation expression naturalness and emotion control flexibility, and can be widely applied to key scenes such as virtual human broadcasting, voice interaction agency and meta-universe digital identity construction.

The invention discloses a method, a system and equipment for voice interaction inside and outside a vehicle and a storage medium, and relates to the technical field of intelligent cabins and human-computer interaction. Identifying an interaction trigger type (in-vehicle active request, out-of-vehicle passive request, or system active trigger) based on the perceived data and / or the vehicle event; determining a corresponding response permission strategy according to the trigger type, and determining whether to allow the system to respond based on the response permission strategy; and if so, calling a large language model to generate a voice text, synthesizing voice by combining external perception characteristics, and broadcasting the voice through a loudspeaker outside the vehicle or a sound box in the vehicle. According to the scheme, three types of interaction intentions including the in-vehicle active request, the out-vehicle passive request or the system active triggering are recognized, the large language model is called to generate the scene-adaptive voice text, and personalized voice synthesis and broadcasting are performed in combination with the external perception characteristics, so that the response efficiency, the expression naturalness and the object adaptability of the in-vehicle and out-vehicle voice interaction are improved.

The invention relates to a method and device for configuring a Bluetooth Mesh network through Bluetooth broadcast. The method comprises the following steps: receiving Bluetooth distribution network broadcast information; according to a first matching result of the message label and the cache information, determining a processing state of the Bluetooth network distribution broadcast information by the equipment to be subjected to network distribution; if the first matching result shows that the broadcast information is not processed, determining a matching relationship between the to-be-distributed network equipment and the target to-be-distributed network equipment according to a second matching result of the target address information and the address information of the to-be-distributed network equipment; if the second matching result shows that the two are matched, accessing the to-be-distributed network equipment to the network based on the broadcast information; and if the second matching result shows that the two devices are not matched, updating the message forwarding mark to obtain the updated broadcast message and forwarding the updated broadcast message to the next device until the target device to be subjected to network configuration is obtained through matching within the dynamic message distance determined based on the message forwarding mark and is accessed to the network. By adopting the method, the network distribution efficiency can be improved, and the resource redundancy in the network distribution process can be reduced.

The invention relates to the technical field of intelligent manufacturing and block chains, in particular to a production process traceability method of a hub type transmission device, which comprises the following steps: acquiring three types of operation data and aggregating to generate a synchronous value, calculating a parameter rate to judge whether the parameter rate exceeds a limit and extract a sudden change section, comparing a trend with a threshold value and reconstructing into a clamping state node, and packaging the signature and broadcasting to generate a verification node, and analyzing the node to supplement a link to generate right confirmation data. According to the method, parameter synchronism is calculated and recognized through the offset rate, the linkage analysis capability among multi-dimensional data is improved, accurate recognition of a sudden change section is achieved through comparison of continuous period parameter variation difference and double threshold values, and abnormal fragments are effectively extracted and an independent structure is formed by combining trend consistency and pressure difference value judgment; a signature and broadcast mechanism ensures the consistency of node data, link comparison and breakpoint reconstruction maintain the integrity of a data link, and the anomaly recognition precision, the node credibility and the production data closed-loop management capability are enhanced.

The invention discloses a talkback method and system based on label door lock cooperation, and the method comprises the steps: broadcasting door lock binding information: obtaining a broadcasting result of the door lock binding information according to the fact that a door lock A detects that a Bluetooth label Tag-DID carried by an owner a leaves a communication range; neighbor door lock state detection: sending an empty query request according to a call button of a Bluetooth tag pressed by an owner a, and obtaining a response result of an idle door lock; door lock selection and call establishment: selecting a door lock ID displayed on a display screen of a door lock Z according to the owner a, extracting the cached IP by the door lock Z and initiating a call request to the door lock A by the door lock Z to obtain an establishment result of call connection between the door locks; and voice communication and switching management: realizing voice communication between the door lock Z and the door lock A according to the established call connection, and obtaining a cross-door-lock voice communication switching result. By utilizing the embodiment of the invention, the cooperative work capability between the door locks can be improved, and the communication experience of a user in an intelligent home environment is optimized.

This disclosure describes systems, methods, and devices related to priority packet optimization. For example, a system is described for sideband communication in a universal chiplet interconnect express (UCIe) environment. The system may include a sideband link may include a clock pin and a data pin configured to transmit auxiliary signals between chiplets. The system may include an encoding module configured to generate level-based encodings representing global event notifications. The system may include a notification propagation module configured to distribute global event notifications across a network topology interconnecting the chiplets.

The invention discloses an electronic contract signing method based on block chain evidence storage, and particularly relates to the technical field of electronic evidence preservation and intelligent contracts. Obtaining original data of the electronic contract and generating a hash abstract; setting a plurality of candidate block chain networks as evidence storage target chains; the transaction density index and the network propagation lag degree of each chain are collected in real time; inputting the parameters into a risk scoring model, and calculating a comprehensive risk score; executing a strategic broadcast operation according to a scoring result; monitoring a transaction confirmation state, and selecting a first block chain reaching a set confirmation number as a main storage certificate chain; when the evidence storage fails, under-chain supplementary evidence storage or re-broadcasting is triggered; according to the method, the chain state can be dynamically sensed, the optimal evidence storage path can be adaptively selected, the uplink success rate and the legal efficacy of the electronic contract are effectively improved, and the method has high disaster tolerance and cross-chain applicability and is suitable for scenes such as judicial, finance and government affairs with high evidence reliability requirements.

The invention discloses an AR glasses blogger live video anti-shake processing method and processing system, and the method specifically comprises the steps: carrying out the calculation based on an original video stream and equipment motion data, and generating a preliminary stable frame sequence; based on the preliminary stable frame sequence, marking a key semantic region as a strong stability demand region, and segmenting a foreground main body and a background region; performing fine stabilization on the strong stability demand area and the foreground main body by applying non-rigid transformation, performing stabilization on the background area by applying rigid transformation and retaining the depth of the scene, and obtaining a frame sequence after partition correction; predicting a future multi-frame equipment motion track based on the frame sequence after partition correction, the equipment motion data and the segmentation information of the foreground main body / background region; and calculating and executing prospective canvas motion compensation in advance based on the future multi-frame equipment motion trail and the segmentation information of the foreground main body / background region. According to the invention, efficient anti-shake processing of the live video of the AR glasses is realized, and the stability of the live picture and the user experience are effectively improved.

The embodiment of the invention provides a live broadcast room atmosphere monitoring method. The method comprises the following steps: acquiring a plurality of bullet screens in a current time period of a live broadcast room; acquiring emotion information corresponding to each bullet screen; according to the emotion information of each bullet screen, determining a current atmosphere corresponding to the live broadcast room in the current time period; and under the condition that the current atmosphere is the negative atmosphere, an atmosphere regulation and control strategy is pushed to an anchor end, so that an anchor carries out regulation and control. Through obtaining the bullet screen in the current time period of the live broadcast room and the corresponding emotion information, the audience interaction content is obtained and the emotion situation of the live broadcast room is analyzed, so that the current live broadcast atmosphere of the live broadcast room is accurately judged. When the live broadcast room atmosphere is detected to be negative, the server side pushes a targeted regulation and control strategy to the anchor side, the anchor is helped to know the emotional state of the live broadcast room in time and take effective adjustment measures, continuous deterioration of the live broadcast atmosphere is avoided, the control ability of the anchor to the live broadcast room atmosphere is enhanced, and the overall live broadcast effect is improved.

The invention discloses a 2D government affair digital human real-time interaction method and system based on an AI painting technology, and the method comprises the steps: making a digital human image based on a modeling mode combining AI painting and a Live2D technology; acquiring an audio input by a user in real time, and identifying the audio input by the user to obtain an audio identification text and a reply text; according to the reply text, synthesizing and outputting a result audio based on a half-stream speech synthesis method of dependency syntactic analysis; and performing mouth shape synchronous real-time driving and audio broadcasting of the digital human image on the manufactured digital human image based on the result audio. According to the invention, the low-cost construction and deployment of the digital human are realized based on the combination of AI drawing and Live2D technology; when system deployment is carried out on the digital people, a semi-streaming speech synthesis scheme based on dependency syntactic analysis is adopted, and the interaction real-time performance and fluency of government affair digital people belonging to service digital people are improved.

The invention relates to an intelligent broadcasting ecological system and method based on an artificial intelligence multi-terminal application, and relates to the field of audio and video playing management, and the method comprises the steps: obtaining a user interest label matrix of a first online user, and obtaining a user portrait of the first online user; according to the user basic portrait, the user behavior portrait and the user browsing content portrait, obtaining an adjacent interest label set to update a user interest label matrix, obtaining a user interest label update matrix, and starting timing when the steady state recording duration is reset to 0; playing information matching is carried out according to the user interest label updating matrix, and matched playing information is pushed to a computer, a mobile phone, a loudspeaker box and other multi-terminal applications to be played. The technical problems that in the prior art, playing information is periodically recommended, the diversity of interest-based recommendation information is poor, the probability of matching with the user is low, and the browsing, playing and listening experience of the user is affected are solved.