129 results about "Push technology" patented technology

The invention discloses a private domain data-based user portrait generation method and a private domain data-based content generation and touch method, and relates to the technical field of big data processing and pushing. Analyzing user behavior characteristics and interest preferences based on the collected data; marking static tags for the corresponding users based on the basic attributes; according to the behavior characteristics and interest preferences, constructing a primary dynamic tag; through user behavior data collected in real time, a time decay weighting algorithm is adopted to improve recent behavior weight and filter abnormal click data, a time sequence cross attention network is adopted to model a behavior feature sequence, interest preference and probability are output, and a dynamic threshold value is set to trigger dynamic label updating; and if the key behavior data of the user is collected, recalculating the dynamic tag based on the key behavior data and performing full-amount refreshing. According to the invention, a data-content-touch real-time linkage closed-loop system is constructed.

The invention relates to a method for intelligently pushing commodity display according to user behavior habits, and belongs to the technical field of artificial intelligence and electronic commerce recommendation systems. Aiming at the problems of low recommendation accuracy and insufficient real-time performance caused by dynamic change of user behaviors in the existing commodity pushing technology, the method comprises the following steps of: acquiring multi-dimensional data such as user browsing tracks, click preferences, purchase records and page staying duration, and constructing a dynamic user portrait in combination with a time sequence analysis and clustering algorithm; fusing real-time behavior feedback by adopting an improved collaborative filtering algorithm, mining potential association between behavior characteristics and commodity attributes through a deep learning model, and establishing an adaptive weight adjustment mechanism; and finally, a personalized commodity sorting strategy is generated based on the current scene and behavior trend prediction of the user, and dynamic optimization of the pushed content is realized. The method can be applied to an e-commerce platform, an advertisement putting system and a mobile application, the recommendation accuracy, the user conversion efficiency and the platform sales volume are remarkably improved, and meanwhile computing resource consumption is reduced.

The invention provides a multi-terminal collaborative AI model dynamic deployment method, which comprises the following steps that: a cloud terminal splits a complete AI model into lightweight sub-models according to a real-time state reported by edge equipment and AI model structure characteristics; calculating the sequence of the sub-models distributed to the edge devices through a priority queue algorithm; differential increment transmission is adopted to push difference parameters of the existing model of the edge device; the edge device triggers incremental learning based on an end side abnormal sample, and local model parameters are updated by adopting lightweight transfer learning; the cloud receives the encrypted local model parameters and the associated sample feature values, node parameters of the multiple edge devices are aggregated through federal learning, and an optimized global model is generated. According to the multi-terminal collaborative AI model dynamic deployment method, through a model fragmentation pushing technology and a side incremental learning mechanism, model dynamic adaptation and closed-loop optimization of resource awareness are realized, and the AI model deployment efficiency and scene adaptability in a complex industrial scene are remarkably improved.

The invention relates to the technical field of information pushing, in particular to a platform user interest recommendation method and system based on artificial intelligence. The method comprises the following steps: acquiring user action data and environment perception data, analyzing the user action data and the environment perception data, and constructing a unified space-time semantic network; according to the unified space-time semantic network, analyzing scene features of the user, and determining a multi-dimensional dynamic scene feature set; and analyzing the multi-dimensional dynamic scene feature set, determining composite scene demand information of the current user, and retrieving and pushing real-time demand information of the user according to the composite scene demand information. According to the method and the device, the perception capability of the pushed information to the user demand scene is improved, the multi-dimensional dynamic adaptation of the pushed information to the platform user is realized, the information pushing accuracy for the platform user is improved, and the composite information demand of the user in a complex scene is met.

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 invention provides an advertisement cold start pushing method and system based on multi-source data fusion, and relates to the technical field of advertisement pushing. The advertisement cold start pushing method based on multi-source data fusion comprises the steps that user side information is collected, and the user side information comprises device information, behavior logs and third-party annotation data; extracting user portrait features according to the collected user equipment information, behavior logs and third-party annotation data, and extracting features of advertisement content needing to be pushed; the extracted user portrait features are matched with the content features of the advertisements needing to be pushed, and interest values of the users for all the advertisements are obtained respectively; and according to the obtained interest value of the user for each advertisement, judging the type of the advertisement needing to be pushed to the client, generating a pushing list of the advertisement, and completing pushing of the advertisement according to the pushing list. According to the method, the accuracy and the putting effect of the advertisement can be greatly improved, and better user experience and business return can be brought.

The invention discloses an advertisement directional pushing method based on video content, relates to the technical field of advertisement pushing, and solves the technical problem that target audiences really having demands cannot be effectively reached by fully considering personalized characteristics and demand differences of each user. According to the method, information such as browsing history records, search records and use time of the push users is obtained in detail, and scientific analysis methods such as time period division, classification of advertisements of the same type and frequency calculation are applied, so that a user portrait which is more accurate than that of a traditional mode can be constructed; therefore, advertisements meeting user requirements are pushed in a targeted mode, the matching degree of the advertisements and the users is improved, invalid advertisement putting is reduced, and by analyzing software use behaviors and advertisement browsing conditions of the users in different time segments, for example, the browsing ratio of different advertisement types and the software use frequency in the target time period are calculated, so that the user experience is improved. And the advertisement pushing times and types are reasonably adjusted.

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 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 correlation of pushed contents by using information entropy. The method specifically comprises the following steps: cleaning historical browsing data of a user, removing invalid behaviors, and generating a second heat collection set; calculating interest weights of the user for different types of hot search based on the time decay factor, and optimizing weight distribution through normalization processing; pushing strategies are designed for the new users and the old users respectively, the new users adopt global information entropy to screen high-diversity content, the old users dynamically adjust a pushing list in combination with weighted information entropy, it is ensured that the content conforms to interests, and information cocoon rooms are avoided.

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.

The invention discloses an online advertisement intelligent pushing system based on big data, and relates to the technical field of advertisement pushing, the online advertisement intelligent pushing system comprises a data acquisition module, a data processing module, a data storage module, an intelligent pushing module and a user feedback module, the intelligent pushing module comprises a user interest analysis unit, a pushing opportunity unit and an effect evaluation unit, the user interest analysis unit analyzes the interest degrees of different advertisement categories, the pushing opportunity unit divides a day into a plurality of time periods, and determines the advertisement pushing strength and the advertisement pushing time periods, so that the preference of the user for the advertisement categories is analyzed through an interest evaluation algorithm, the most popular advertisement category is selected for pushing, and the advertisement pushing efficiency is improved. The optimal advertisement pushing time period and pushing strength are determined through the segmentation evaluation algorithm, the pushing effect is evaluated through the advertisement effect evaluation algorithm, the threshold value is set, the competitive advertisement influence is adjusted in real time, the advertisement strategy is dynamically adjusted in the high competitive time period, and the advertisement pushing accuracy is improved.

The invention discloses an e-commerce platform pushing system based on user portrait analysis, and relates to the technical field of platform pushing, the e-commerce platform pushing system comprises a control center, and the control center is in communication connection with a database, a portrait generation module and a pushing module; the database is used for storing user information, commodity information, order information and behavior information, and generating a relative correlation coefficient between commodities according to the commodity information and the order information; the portrait generation module is used for generating user keywords according to the user information and the behavior information; acquiring user payment behavior data, and generating user attributes according to the payment behavior data; generating a user portrait according to the user keyword and the user attribute; and the pushing module is used for generating a corresponding pushing strategy according to the relative correlation coefficient between the user portrait and the commodity.

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 invention discloses a multimedia content management and push system, and relates to the technical field of content management and push, the multimedia content management and push system comprises a control center, the control center is in communication connection with a database, a user portrait generation module, a derivative portrait set acquisition module, a push content generation module and a feedback result processing module; the database is used for storing multimedia content information, user information and browsing records; the user portrait generation module is used for generating a user portrait according to the user information and the browsing record; the derivative portrait set acquisition module is used for acquiring a corresponding derivative portrait set according to a user portrait; the push content generation module is used for generating push content according to the user portrait and the corresponding derivative portrait set; and the feedback result processing module is used for acquiring a browsing result of the user on the pushed content and generating a corresponding adjustment strategy according to the browsing result.

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 an information pushing method and device, equipment, a storage medium and a program product, and belongs to the technical field of information pushing. The method comprises the steps of obtaining object attribute features and object behavior features corresponding to at least two candidate objects; determining a conversion probability difference value corresponding to each candidate object based on the object attribute characteristics and the object behavior characteristics by using a causal inference network, the conversion probability difference value is used for representing a difference value between a first conversion probability value predicted by the candidate object under the condition that the push information is sent and a second conversion probability value predicted by the candidate object under the condition that the push information is not sent; and screening out a push object from the at least two candidate objects based on the conversion probability difference, and sending push information to the push object. According to the method, the object which is most likely to be influenced by the pushed information can be accurately determined in the candidate objects, so that the activeness and the participation rate of the object are improved.

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 invention discloses a pushing method and device of washing equipment, electronic equipment and a storage medium, relates to the technical field of pushing of intelligent household appliances, and is applied to a server, and the server is in communication connection with the washing equipment and a user mobile terminal. There are at least one washing device and at least one user mobile terminal. The method comprises the following steps: acquiring user data of a user mobile terminal and equipment data of washing equipment; determining the working state of the washing equipment according to the user data and the equipment data; and determining washing equipment push information according to the working state, the equipment data and the user data, and sending the washing equipment push information to the user mobile terminal. According to the technical scheme, the user data of the user mobile terminal and the equipment data of the washing equipment are combined with the peak state and the idle state of the washing equipment to actively push the washing reminding to the user, the working efficiency of the washing equipment is improved, and the use experience of the user is improved.