90 results about "Push technology" patented technology

The invention relates to the technical field of message pushing, in particular to an SaaS (Software as a Service) intelligent concurrent pushing system which comprises a tenant flow monitoring module, a resource binding module, a lock-free object writing module, a handle layout construction module and a cache prefetching delivery module. According to the method, the high-frequency business object is identified by monitoring the flow characteristics of the tenants, and the complete Slab page is dynamically applied and bound to the thread exclusive local allocation buffer area, so that physical isolation of bottom layer resources is realized to eliminate global lock competition and context switching overhead in a multi-thread environment; lock-free memory writing is executed based on a privatized pointer, the object construction efficiency is greatly improved, a compact storage structure in which a bitmap is adjacent to a connection handle is constructed, a hardware cache prefetching mechanism is triggered by utilizing bitmap reading, connection data is loaded to a CPU cache line in advance, and the connection data is stored in the cache line. And the cache miss rate is reduced and the concurrent delivery performance of massive messages is remarkably improved by utilizing a memory locality principle.

The embodiment of the invention discloses a finance and taxation service request processing method and device, and the method comprises the following steps: receiving a finance and taxation service request, carrying out the semantic analysis through a BERT model trained based on a finance and taxation field corpus, and extracting a user intention and a key service entity; based on a finite-state machine model, managing a dialogue flow of a business scene, triggering state transition according to a current dialogue state, a user intention and a key business entity, and orderly promoting an invoicing, checking or diagnosing business process; scheduling a corresponding AI capability module to execute a task according to the user intention and a service scene defined by the key service entity; an execution result of the AI capability module is fed back to a front end in real time through a server pushing technology and is displayed in linkage with information input by a user; based on key business entities and operation combinations recorded in a user operation log, the key business entities and the operation combinations are automatically abstracted and packaged into independent reusable functional components. According to the embodiment of the invention, finance and tax business requirements can be adapted through multi-step and scenarized dialogue response.

The invention is suitable for the technical field of intelligent advertisement pushing, and provides an advertisement pushing method and system based on a user portrait, and the method comprises the steps: judging whether a first exhibition advertisement belongs to a high-information-load advertisement or not after detecting that a current user enters a designated application interface, and if yes, executing the step 1; and if yes, obtaining an advertisement recommendation weight of the first exhibition advertisement, wearable device monitoring data of the current user and specified application interaction behavior data. According to the invention, by introducing wearable device monitoring data and combining the current cognitive load state and the historical behavior trend of the user, a recommendation weight dynamic correction mechanism taking the first adjustment factor and the second adjustment factor as the core is constructed.

The invention discloses an intelligent mobile terminal tourism information personalized pushing system based on a user portrait, and relates to the technical field of mobile terminal tourism pushing, and the system comprises a user portrait construction module which collects basic information, mines behavior data and generates an interest label; the tourism information processing module is used for collecting multi-source tourism data, carrying out structured processing and evaluating the quality; the personalized push decision module is used for matching user interests and situations and determining a push strategy; the interaction feedback module is used for tracking user operation and optimizing portraits; and the privacy protection module is used for desensitizing the data, managing the authority, encrypting and storing. According to the method, the pushing accuracy and timeliness are improved, the user experience is optimized, the information quality and privacy security are guaranteed, and the method is adaptive to the whole travel process demand.

The invention discloses an employment post information push query method, computer equipment and a storage medium, and relates to the technical field of post push, and the method comprises the steps: collecting the post description text of an enterprise post, the enterprise employee demission rate and the enterprise growth index, constructing a post evaluation matrix, and obtaining a post evaluation result; performing evaluation calculation by using the job seeker multi-dimensional label vector and the post evaluation matrix, generating post scores, inputting enterprise geographic coordinates and job seeker residence coordinates into a path planning API (Application Program Interface) to calculate commuting time, executing post recommendation screening by using the post scores and the actual commuting time, and obtaining a post recommendation list. And pushing the post recommendation list to the job seeker in real time through the intelligent terminal. According to the post pushing method, the post matching accuracy is improved, and the problem of inadaptive work caused by inconvenient commuting and inaccurate matching is reduced.

This application belongs to the field of digital push technology and relates to a method and system for collaborative online and offline marketing content delivery, aiming to solve the problems of rigid delivery, low accuracy, and disconnect between online and offline in existing technologies. The method includes: acquiring user behavior characteristics and scenario characteristics collected by offline display terminals when displaying content, and determining interests; when preset conditions are met, sending an instruction to cause the offline display terminal to dynamically generate a unique interaction identifier and output an interaction entry point; receiving online access requests and extracting the unique interaction identifier from them, associating display events and online interaction events based on the unique interaction identifier to obtain event-level attribution results; and adjusting the generation control parameters and / or delivery strategy parameters of subsequent target marketing content based on the attribution results. This application can achieve event-level association and attribution between offline display and online interaction, forming a closed loop of content generation, display, interaction, and optimization, improving the efficiency of marketing content generation, delivery accuracy, and conversion effect.

The present invention belongs to the technical field of advertising push and relates to an intelligent real-time advertising push method based on a multi-level graph neural network. The method first collects dynamic data and static data of a parking lot and performs preprocessing. Then, two graph structures, a global graph and a local graph, are designed. The self-attention mechanism is introduced to construct and train a multi-level graph neural network to obtain a trained model. Finally, the trained model is used to calculate the embedding of each license plate and frequently visited places, thereby generating a predicted score. For each user, advertisements are sorted according to the predicted score, and the advertisement with the highest score is selected as the push result. The multi-level graph structure enables the model to capture user behavior patterns more comprehensively and meticulously, thereby improving the accuracy and relevance of recommendations. In addition, the computational complexity is reduced, the computational efficiency of the model is improved, and it can run efficiently in actual application scenarios with limited resources, meeting the needs of real-time recommendations.

The invention discloses an advertisement playing method and device for a shelf propeller and a storage medium, and belongs to the technical field of advertisement pushing. The method comprises the steps that an advertisement playing action is triggered based on a pulse signal generated by a pulse signal sensor, the pulse signal is generated by the pulse signal sensor based on commodity number change information, an advertisement to be played is obtained based on the advertisement playing action, the advertisement to be played is displayed in a display screen, and the advertisement to be played is stored in a micro-control unit in advance, or remotely issuing through network connection. According to the method and the device, matching between advertisement pushing and user requirements is realized by sensing the taking and placing behaviors of the user on the specific commodity in real time, and the advertisement pushing accuracy is improved.

The invention discloses a context-based Internet of Things data pushing method, which relates to the technical field of data pushing, and comprises the following steps: collecting original data, inputting preprocessed data into a context fusion engine, fusing the preprocessed data into context data, identifying agricultural context events based on a context data application rule engine and a machine learning reasoning model, and outputting pushing event data. According to the method, the soil humidity data, the air temperature and humidity data, the illumination intensity data and the meteorological platform data are fused through the unified agricultural situation model, unified processing and situation reasoning of the multi-source data are achieved, and the accuracy and practicability of the pushed information are improved. The agricultural situation event is recognized by combining the rule engine and the machine learning reasoning model, and the pushing frequency and content are adaptively adjusted according to the pushing event data, so that the communication and calculation burden is reduced, the user experience is optimized, and a good application effect is achieved.

The application discloses an information pushing method and device and a storage medium. After determining target pushing information, a target conversion unit price of the target pushing information is acquired, a first historical conversion unit price, a first historical price adjustment coefficient and historical pushing consumption of the target pushing information are acquired, a target price adjustment coefficient of the target pushing information is obtained according to the target conversion unit price, the first historical conversion unit price, the first historical price adjustment coefficient and the historical pushing consumption, a current exposure price of the target pushing information is determined according to the target price adjustment coefficient, and whether the target pushing information is pushed to a target consumer object set is determined according to the current exposure price. The application can reasonably adjust the exposure price of the target pushing information, so that the conversion quantity of the target pushing information can reach the expectation. It can be seen that the application can be widely applied to the information pushing technology in the computer technology field.

This invention provides a data push method, apparatus, electronic device, and storage medium, applied in the field of data push technology. It involves determining a user identifier and constructing a user set based on that identifier; determining an item identifier and constructing an item set based on that identifier; using the user set and item set to determine a node set and a first edge set; generating an interaction graph based on the node set and the first edge set to express the interaction behavior between the user and the item; inputting the interaction graph into a pre-trained model to output a predicted score expressing the relationship between the user and the item; and pushing data based on the predicted score. This achieves score prediction for the relationship between unknown users and items, and by using the predicted score, it can automatically recommend data about target items to users while ensuring the accuracy of the recommendations.

The invention is suitable for the technical field of information pushing, and particularly relates to a subway train operation information pushing method and system.The method comprises the steps that video monitoring equipment deployed at a subway turnstile in advance is used for collecting inbound videos of passengers, the passengers are clustered into a plurality of categories, risk personnel are selected, and the risk personnel are sent to the subway turnstile; wherein the risk personnel at least comprise pregnant women and old people, extracting clothing characteristics of the risk personnel, reading ticket buying information of all passengers in a preset riding platform, identifying terminal equipment of all passengers through a preset timestamp, and establishing a corresponding relation between the clothing characteristics and the terminal equipment; and integrating a good exchange module into the riding platform. According to the invention, by generating the guiding task, the risk personnel can be guided to go to the seat offering position, the walking path and time are shortened, and the service experience is optimized, so that the risk personnel can go out more conveniently, the riding experience is more comfortable, and the practicability of operation message pushing is greatly improved.

The invention relates to the technical field of text pushing, and discloses a text pushing method and device, electronic equipment and a storage medium, and the method comprises the steps: extracting a plurality of keywords in a to-be-pushed text, deeply understanding a core theme of content and a real demand of a user, and pushing the to-be-pushed text to the to-be-pushed text; the traditional limitation that only static user portraits and simple keyword matching are relied on is broken through, subsequent classification benchmark setting and business card classification enable user groups to be reasonably and dynamically divided, strong pertinence of information pushing is ensured, interference of irrelevant information is avoided, and finally, by calculating the matching degree of a to-be-pushed text and a business card classification cluster, the information pushing efficiency is improved. The interests of the user can be accurately positioned, personalized and intelligent information pushing is realized, and the user can receive information conforming to the preference of the user. The method has the beneficial effects that the receiving rate and the processing efficiency of the information are improved, the problem of user information overload is effectively solved, and the information pushing precision and the user satisfaction degree are greatly improved.

The invention discloses an advertisement pushing flow data analysis processing method based on digital twinning, and relates to the technical field of advertisement pushing, and the method comprises the steps: collecting data, constructing a feature library containing three types of features, building a virtual scene and a simulation system through digital twinning, and constructing a multi-stage engine for dynamically adjusting a threshold value at the same time. Simulation data is generated and screened to obtain candidate schemes, and results are output after trial push verification optimization, so that the advertisement push accuracy, efficiency and compliance are improved, and the cost risk is reduced. According to the method, a virtual scene and traffic simulation system is constructed by a digital twinning technology, dynamic scenes such as real-time adjustment capability and traffic fluctuation capturing of a multi-stage dynamic engine are combined, traffic loss is avoided through threshold and weight adjustment, the click rate and conversion efficiency are improved, accurate resource allocation and compliance adaptation are realized by relying on multi-dimensional simulation, screening and trial pushing, and the method is suitable for large-scale popularization and application. Through full-link optimization, the strategy adaptability and ROI are improved, the traditional limitation is solved, and an efficient and intelligent full-process advertising scheme is provided.

This invention discloses an intelligent online advertising push method and system based on big data, belonging to the field of advertising push technology. The invention first uses big data to predict the target scenarios a user may enter within a preset future time window. Based on the target scenarios, it filters suitable candidate ads from an ad library, pre-generating a candidate ad list. When a user enters the target scenario, it collects the user's current real-time environmental characteristics, selects the target ad, and obtains its preset delivery conditions and estimated consumption time. It also obtains the current weather duration prediction information and compares it with the estimated consumption time to generate a travel feasibility coefficient. The real-time environmental characteristics are matched with the preset delivery conditions to obtain a preliminary matching result, which is then corrected by the travel feasibility coefficient to obtain the final matching result, completing the ad push. This invention effectively reduces invalid ad pushes, improves ad conversion efficiency, and enhances user experience through dual verification of environmental adaptation and time feasibility.

The invention relates to the technical field of medical instrument delivery management, in particular to a medical instrument delivery center scheduling system and scheduling method based on intelligent queue management, and the technical scheme provided by the invention has the following beneficial effects: through a multi-order aggregation number taking function, a plurality of orders of the same supplier are allowed to be merged and processed, and the number taking efficiency is improved. One-time number taking of multiple orders is achieved, workers can process homologous orders in batches, suppliers do not need to go back and forth for many times, and the waiting cost is remarkably reduced. An intelligent queuing algorithm is realized based on order attributes, a first surgical instrument is preferentially processed, the operation is ensured to be carried out on time, urgent orders are automatically jumped, emergency medical requirements are met, a processing sequence is dynamically adjusted according to order importance, and resource allocation is more reasonable; distributed cache and WebSocket push technologies are adopted, real-time synchronization of queue states is realized, suppliers can check queuing progress and predicted waiting time in real time, information is more transparent, and high availability of services is ensured by a distributed architecture.

The invention discloses a message pushing method and device, equipment and a storage medium, and relates to the technical field of message pushing, and the method comprises the steps: binding tenant identification information, user identification information, grouping label information and connection channels of connected clients in each tenant, and generating connection binding information of each tenant; receiving a to-be-pushed message, analyzing the to-be-pushed message, and determining a pushing range and a pushing strategy of the to-be-pushed message, the pushing strategy being any one of a unicast pushing strategy, a multicast pushing strategy, a tenant broadcast pushing strategy and a global broadcast strategy; determining a target connection channel in the connection binding information based on the push range and the push strategy of the to-be-pushed message; and pushing the to-be-pushed message to the target client based on the target connection channel. By means of the mode, multiple pushing granularities such as single users, grouped users, tenant-level users and global users are supported, all service scenes are covered, and accurate pushing under different scenes is achieved.

The application relates to the technical field of hot search pushing, and discloses a hot search information pushing method based on big data, which screens user effective behavior data through a multi-dimensional data cleaning strategy, constructs a user interest weight model in combination with a time attenuation factor, and dynamically balances the diversity and relevance of pushed content by using information entropy. Specifically, the following steps are included: cleaning user historical browsing data, eliminating invalid behaviors, and generating a second hot search set; calculating the interest weight of different types of hot searches of a user based on a time attenuation factor, and optimizing weight distribution through normalization processing; designing pushing strategies for new users and old users respectively: new users adopt global information entropy to screen high-diversity content, and old users dynamically adjust a pushing list in combination with weighted information entropy, so that the content meets the interest and avoids information cocooning.

The present invention discloses an intelligent reach system and method based on user characteristics, which belongs to the field of message push technology. The system generates user portraits through user behavior data, including labels such as reach channels, reach time and reach content, and generates preference features based on user click behavior, such as channel preference, time preference, algorithm preference and copy preference. The system calculates the weights of each reach channel, time and content package through the factor optimization module, and selects the optimal combination to generate a message sending plan. If the message fails to be sent successfully, the system will automatically re-select and generate a new sending plan and resend it. The present invention can realize accurate and personalized message push based on the user's historical behavior and preferences, significantly improve the message reach rate and user response rate, and is suitable for scenarios such as e-commerce platforms and social media that require large-scale personalized push.

The application relates to an AI Agent method and system for conversational synchronization of data, and belongs to the technical field of artificial intelligence and natural language processing. The method comprises the following steps: obtaining a semantic analysis model; analyzing data synchronization intention and constraint conditions; based on the analysis result, calling a multi-source data adapter to connect a heterogeneous data source for data extraction; intelligently processing the extracted data through a synchronization strategy decision module, dynamically selecting a synchronization mode according to data characteristics; using SSE server push technology to realize real-time feedback of execution progress, and using an incremental context memory mechanism to realize continuous tracking and cumulative correction of synchronization conditions in multi-round conversation; automatically verifying the synchronization result, displaying an AI response word by word in the effect of a typewriter, and returning the synchronized data to the user in a structured format. The application significantly reduces the technical threshold of data synchronization and improves the multi-round interaction experience and synchronization efficiency.

The invention provides a news pushing method and electronic equipment, and belongs to the technical field of news pushing. For each piece of news, multi-modal fused news feature data is extracted, and the problems that traditional news multi-modal data cannot be fully fused and understood, and news relevancy calculation is low can be solved. And the relevancy calculation adopts mixed similarity calculation, namely, the vector direction and the vector size are considered, so that the relevancy calculation accuracy can be improved. According to the method, the time decay factor of the news is calculated based on the release duration of the news and the news category, then the time decay factor is multiplied by the initial relevancy to obtain the final relevancy, the time factor is considered, and the problem that an existing news relevancy calculation method cannot dynamically adapt to news timeliness can be solved.

The invention belongs to the technical field of advertisement pushing, and particularly relates to a personalized advertisement pushing system based on big data and artificial intelligence, and the system comprises a data collection module which is used for collecting user data from various channels, and the user data comprises basic information, browsing records, purchase history, search behaviors and social interaction of users; and the data storage and preprocessing module is used for storing the collected data in a distributed database, carrying out cleaning, duplicate removal and standardized preprocessing operations so as to ensure the quality and availability of the data, and classifying and marking the data at the same time. According to the method, the multi-dimensional data of the user is collected through big data, and the user portrait model and the advertisement effect prediction model are constructed by applying a machine learning algorithm, so that the matching degree of the advertisement and the interest of the user can be greatly improved, the click rate of the accurately pushed advertisement is improved to 5% or above from about 0.1% in the prior art, and the problem of low advertisement accuracy is effectively solved.

The invention relates to a member marketing automatic recommendation method and device based on a user life cycle, and belongs to the technical field of information push, a user behavior data set is collected, a user activity curve of a latest time period is generated, and a time period width threshold is obtained by presetting; identifying a user activeness curve, judging that the current period belongs to any period of an introduction period, a growth period, a stable period and a loss early warning period in a user life cycle, and regarding the current period as a current period; based on the member ID channel, inputting the data content mapped in the current period into a preset prediction model, and predicting the evolution of the next period under the non-interference condition; when it is predicted that the evolution of the next period belongs to a loss early warning period, interference information matched with the user behavior data set is generated, and recommendation content is adjusted based on the interference information; the loss risk pre-judgment accuracy is obviously improved; specific interference measures such as member exclusive coupons, gift rights and interests and customer service retention channels are automatically generated for early warning users.

The invention belongs to the technical field of advertisement pushing, and particularly relates to an advertisement pushing method based on e-commerce big data feedback, which can extract a user intention snapshot in real time by constructing a multi-dimensional spatiotemporal behavior matrix and combining a sliding time window dynamic slicing technology. And intention transition events such as interest point transfer and decision intensity change are accurately identified by virtue of the trained intention transition detection model, so that user demand fluctuation can be followed up in real time, advertisement pushing is highly matched with the real-time intention of the user, the problem that pushing is disjointed with the real-time demand is effectively solved, and the accuracy of advertisement pushing is remarkably improved.

The invention provides an oral maxillofacial surgery postoperative care pushing method and system based on artificial intelligence, and relates to the technical field of artificial intelligence pushing, and the method comprises the steps: obtaining historical case data and stage care data of a user, and converting the historical case data and stage care data into structured data; a push mechanism based on time triggering is designed, the structured data of each time period is evaluated and pushed by using the push mechanism based on time triggering, and a user receives post-operation push matters needing to be followed by the current time period; wherein the push mechanism based on time triggering comprises the steps of designing a time-triggered state mode, taking each user as a state identifier, enabling each state to correspond to a specific postoperative time period and push content, performing time calculation, performing state transition when a postoperative time difference reaches a threshold value, loading the users in a pushable state from a database, and pushing the pushable state to the corresponding user. And the matters needing attention of different users at different stages are pushed.

The invention relates to the technical field of service management, in particular to a level distribution dynamic adjustment management method based on service rule driving. The method comprises the following steps: before examination is started, obtaining a business examination method, configuring an initial level distribution control rule, generating a rule configuration table, and storing the rule configuration table in a system database; in the evaluation process, the websocket message pushing technology is used for pushing the evaluation result of each evaluation subject and the comprehensive grade distribution data to a corresponding display interface in real time, and the grade distribution data is counted; when the evaluation subject or administrator finds that the grade distribution is unreasonable, real-time modification is carried out according to the grade distribution data; and before a final assessment result is generated, fine adjustment is performed again based on the modified rule configuration table in the evaluation process, and a final grade distribution control rule is applied to assessment result calculation to generate a service grade distribution result meeting dynamic adjustment. According to the invention, automatic and precise management of business rule levels can be realized.

This application relates to the field of communication message push technology, specifically to an adaptive push system for hang-up messages based on remote communication. The system includes: a communication data processing module for text recognition and word segmentation of information during each remote communication process; obtaining the word polarity of each segmented word in each occurrence; a communication feature extraction module for determining the information tendency and word tendency change rate of each segmented word during each remote communication process; obtaining the word temporal interference rate of each segmented word during each remote communication process; determining the trend change of each segmented word during the current remote communication process; and a hang-up message push module for obtaining the weight coefficient of each segmented word during the current remote communication process; correcting the TF value in the TF-IDF algorithm to obtain the TF-IDF value of each segmented word during the current remote communication process; filtering each segmented word using the TF-IDF value and matching it with recommended information to push the hang-up message. This application improves the accuracy of hang-up message push.

The present application relates to the technical field of message pushing, in particular to a SaaS intelligent concurrent pushing system, which comprises a tenant traffic monitoring module, a resource binding module, a lock-free object writing module, a handle layout construction module and a cache prefetch delivery module.In the present application, high-frequency business objects are identified by monitoring tenant traffic characteristics, complete Slab pages are dynamically applied and bound to thread-specific local allocation buffers, physical isolation of underlying resources is realized to eliminate global lock competition and context switching overhead in a multi-thread environment, lock-free memory writing is performed based on a private pointer to greatly improve object construction efficiency, a compact storage structure is constructed in which a bitmap is adjacent to a connection handle, a hardware cache prefetch mechanism is triggered by bitmap reading, connection data is loaded into a CPU cache line in advance, and the cache miss rate is reduced and the performance of mass message concurrent delivery is significantly improved by using the memory locality principle.

This invention provides an information push method, electronic device, and storage medium in a network-free state, relating to the field of information push technology. The method includes: acquiring each preset location on the flight path corresponding to a target flight mission; acquiring preset information corresponding to each preset location to obtain a preset information list corresponding to the preset location list; each preset location corresponds to a sub-region; pushing the preset information corresponding to the sub-region to the display module of the target electronic device for display; if the positioning coordinates corresponding to the target electronic device cannot be acquired, then based on the flight duration of the aircraft corresponding to the flight mission and the current time, pushing the preset information in the TA to the display module of the target electronic device; this invention enables the target electronic device to push and display corresponding information when it flies to the corresponding preset location in a network-free state, thereby preventing users from missing important information related to their trip.

The invention discloses an applet message pushing method in the technical field of message pushing, and aims to solve the problems that in the prior art, a subscription message template scene is poor in adaptation, a triggering condition cannot be configured autonomously, and a sending tracking and resending mechanism does not exist. Comprising the steps that a local subscription message template, an applet side subscription message template and a template relation table are obtained and used for being matched with a message triggering rule, and whether pushing is triggered or not is judged; reading the trigger message rule table, if a message is triggered, assembling message content, and calling a third-party plug-in of the applet to push a subscription message; if the message is successfully pushed, the message sending state in the to-be-sent user message table is written back to be successful; if the message is pushed unsuccessfully, identifying the message sending state as failure, and recording the message sending state into a message queue; and reading failed user messages in the message queue, and carrying out message retry and reissuing. According to the applet message pushing method based on the self-defined template and the retry mechanism, the message pushing success rate is increased, and the user experience degree is improved.