70 results about "Digital advertising" patented technology

The invention discloses a video feature extraction and multi-dimensional matching-based movie advertisement real-time pushing system, and belongs to the technical field of digital advertisements. According to the system, multi-modal analysis is carried out on visual, audio, text and semantic features of a movie through a video feature extraction module, a dynamic interest tag constructed by a user portrait analysis module is combined, and the weighted matching degree of a video scene, user preference and an advertisement tag is calculated by utilizing a multi-dimensional matching engine; and millisecond-level advertisement putting is completed through the real-time pushing decision module. According to the method, context awareness and streaming computing technologies are fused, the relevance between advertisements and content scenes is remarkably improved, cross-platform deployment is supported, the method is suitable for short videos, live broadcast and other real-time scenes, the advertisement click rate is increased by 55%-72% through tests, the response delay is lower than 200 ms, and the method has the technical advantages of being efficient, accurate and low in delay.

An AI-driven system for personalized advertising in real time, where: ◯ an analytics unit to monitor and analyze user behavior in real time across multiple digital platforms such as websites, mobile applications, social media, and smart devices; the unit collects data on user engagement, browsing patterns, time spent, and content preferences to enable targeted, personalized advertising; ◯ a prediction module that predicts preferences and interests of a user, operatively connected to the user interaction data collection unit, wherein the prediction module uses machine learning models such as deep learning, recurrent neural networks (RNNs) and transformer-based architectures to predict interests of users based on historical interactions and inferred preferences; ◯ an emotion and sentiment analysis unit that assesses the user's mood in real time through computer vision, natural language processing (NLP) and voice analysis, whereby the analysis of facial expressions, voice pitch and linguistic mood is used to determine emotional states and receptivity to advertising content; ◯ an embodiment of a context awareness component in operational communication with the emotion analysis and mood unit, in some cases further augmented by various environmental and situational data such as the device type and its physical location, date and time, and the content processed in the device, processing methods, etc., in establishing adaptability and automatic ad placement to be as relevant as possible to the user and their status as prescribed; ◯ Use reinforcement learning algorithms and generative AI models to drive advertising with personalization engines. Creative elements, messaging, and presentations are dynamically adjusted in real time based on user responses to ensure advertising is personalized and always optimized for best performance; o a privacy-focused AI system with federated learning, differential privacy methods, and on-device AI processing to reduce targeted advertising while complying with international data protection laws such as the General Data Protection Regulation (GDPR) and California consumer privacy laws; o an operationally adapted ad delivery mechanism to engage with real-time bidding (RTB) networks, programmatic advertising exchanges and demand-side platforms (DSPs) and place advertisements through digital advertising networks, which guarantees the delivery of tailored advertising to the most relevant audience in real time; and o a contextual feedback loop in which the machine learning models used in the preference and interest prediction module and in advertising personalization The engine is continuously updated to reflect the latest user engagement data, improving personalization over time and optimizing advertising performance.

The invention discloses an AI-based digital advertisement material multi-modal adaptive generation method and system, and relates to the technical field of artificial intelligence and digital content, and the method comprises the steps: S1, obtaining historical operation records of a user in a material creation process, carrying out the classified storage of selection actions in each interaction, and obtaining a preliminary data set of the selection tendency of the user; s2, extracting style preference characteristics of the user in different creation scenes by adopting a behavior pattern analysis method according to the preliminary data set, and determining a dynamic change rule of the style preference of the user; s3, aiming at the dynamic change rule, constructing a dynamic capture mechanism, obtaining the latest selection tendency data, and judging the instant adjustment demand of the style preference of the user; according to the AI-based digital advertisement material multi-mode adaptive generation method and system, intelligence and individuation in the material creation process are realized, and a new technical scheme is provided for the field of creative design.

The invention aims to provide a flow casting business profit prediction and evaluation method and system, and belongs to the technical field of digital advertisement, and the method comprises the steps: collecting user click behaviors, advertisement attributes, cost consumption and other multi-dimensional data in real time through a multi-platform data interface, and carrying out the time sequence alignment processing of the data; comprising abnormal data detection and correction, feature vector extraction and standardized data set generation. Constructing an LSTM neural network model with a dynamic memory ability, and learning a long-term evolution rule of an advertisement effect through a memory unit state retention module and a forgetting gating mechanism; value evaluation of dynamic attenuation is executed based on a prediction result, a linear attenuation mode is adopted for brand advertisements, an exponential attenuation mode is adopted for effect advertisements, and a full-life-cycle income index is calculated; and finally generating a visual prediction trend. According to the method, the problems of insufficient data time sequence feature capture, long-term dependence modeling deficiency and static evaluation in a traditional method are solved, and accurate prediction and dynamic optimization of advertisement putting benefits are realized.

The invention relates to the technical field of digital advertising, and discloses a digital advertising method and system based on a virtual community, and the method comprises the steps: displaying the digital modeling of a target commodity through a commercial tenant virtual unit, enabling a customer virtual unit to observe the commodity in multiple dimensions, obtaining offline observation information from the customer virtual unit according to the transaction record of the target commodity, and enabling the customer virtual unit to obtain the offline observation information; and on the basis of the reconstructed commodity digital modeling, generating an actual measurement reference modeling set, carrying out parallel matching on the commodity digital modeling of different commercial tenants in the virtual community and the actual measurement reference modeling set, generating a personalized temporary community scene for a customer virtual unit, and according to registration information of customers, carrying out real-time registration on the virtual unit. According to the method, logistics transportation prediction is carried out on commodity information in a temporary community, personalized commodity prediction modeling is generated, customers are helped to make shopping decisions more accurately, the method enhances the personalization and accuracy of advertisements, the shopping experience and advertising efficiency of the customers are improved, and the problem that in the prior art, the effectiveness of the advertisements is low is solved.

A system for analyzing sports science data with integrated financial management, consisting of: a data acquisition module configured to ingest heterogeneous data streams from multiple sources, including digital advertising platforms, customer relationship management systems, ticket databases, sponsorship activation protocols, broadcast audience statistics, and point-of-sale systems for goods; a telemetry harmonization processing unit configured to encode temporal, categorical, and numerical marketing and engagement signals into structured tensors, correcting inconsistencies in sampling frequency and missing values; an attribution modeling processor comprising a neural sequence encoder selected from a bidirectional long-term-short-term memory network or a transformer-based attention model, coupled with a causal inference submodule that generates attribution scores by unraveling overlapping influences of concurrent marketing campaigns; an explainability controller configured to generate interpretable attribution outputs by applying Shapley value decomposition, local surrogate model explanations, counterfactual simulation, and temporal sensitivity analysis, with the outputs visualized for end users in real time; a financial simulation engine that is operationally coupled with the attribution modeling processor and configured to translate incremental marketing contribution signals into structured financial reports, including profit and loss statements, balance sheets, and cash flow forecasts, using stochastic financial models to predict key indicators under variable marketing scenarios; a secure audit logging module that includes a blockchain anchoring layer configured to record allocation decisions, explainability results, and financial simulation results in tamper-proof records to ensure traceability and compliance; and a machine interface device consisting of a processing unit, a storage unit, a visualization subsystem and an interaction console, displaying mapping, explainability and financial simulation results on interactive dashboards.

A system and method for analyzing screen-recorded personalized digital content using on-device computer vision and generative AI. A user captures content from a recommender system interface, such as screen activity or browser-rendered content, optionally with concurrent voice commentary. On-device processing generates intermediate representations using CLIP-style embeddings, OCR text, and transcribed audio tokens, flagging advertisements, changes in content, diversity in content, and similarities in content. A compact generative AI model produces metadata summaries, which users may annotate with tags or comments. A composite metadata package is transmitted to a cloud system, while raw media is deleted. The invention enables privacy-preserving, bandwidth-efficient insight into recommender-based media and user feedback.

A method for celebrity-based advertising includes storing, in a server, a likeness of subject and a corresponding booking that includes parameters outlining availability of the subject for digital advertising. The method further includes receiving or creating, by the server, a pitch that falls within the parameters of the booking, the pitch corresponding to the subject. The method further includes receiving, by the server and from a first user device, a first image of the likeness of the subject or another likeness of the subject. The method further includes determining, by the server, that the image matches the likeness of the subject. The method further includes transmitting, by the server, the pitch to the first user device to be output by the first user device.

Some implementations relate to methods, systems, and computer-readable media for digital advertising. In some implementations, a computer-implemented method includes presenting virtual items at a virtual user engagement station. The virtual user engagement station may include a threshold radius for activation of a change in configuration. Upon an avatar crossing the threshold radius, the avatar may be allowed to temporarily wear or interact with the presented virtual items, display different virtual items, and / or purchase virtual items.

The application relates to the field of digital media playing monitoring, and discloses an outdoor digital advertising screen playing state monitoring and abnormality repairing method; the method generates a playing time sequence template according to advertisement scheduling and advertisement materials by a server; a broadcast control terminal collects broadcast control output evidence including a current advertisement segment identifier, a decoding frame timestamp, a rendering queue state, a video output interface state and a screen body control card feedback state when playing the advertisement materials; an image acquisition unit collects a screen display picture and forms screen display evidence; the server maps the playing time sequence template, the broadcast control output evidence and the screen display evidence to the same playing time axis to obtain scheduling consistency results, output consistency results and real display consistency results, and generates abnormality attribution results according to the conflict types among the three, and then corresponding repairing strategies are executed.

The invention relates to the technical field of digital advertisement putting, in particular to an intelligent advertisement playing terminal and a carousel control method thereof, and the method comprises the steps: collecting real-time environment parameters and real-time crowd characteristic parameters of an area where the advertisement playing terminal is located; inputting the attention concentration degree and the environment interference degree into a preset carousel strategy model, calculating the dynamic playing weight of each to-be-played advertisement in an advertisement library, and generating an initial carousel list according to the weight from high to low; acquiring historical playing data of each advertisement in the initial carousel list, optimizing the initial carousel list according to the historical playing data, generating a target carousel list, and controlling the terminal to play; and collecting playing effect data of the current carousel period, and adjusting parameters of the carousel strategy model according to the playing effect data. According to the invention, the pertinence and real-time response capability of advertisement playing are improved, and the dynamic optimization and adaptive adjustment of the carousel strategy are realized.

According to an embodiment of the present invention, a method and system to generate recommendation to place a set of digital advertisements is disclosed. The recommendation to place a set of digital advertisements is performed by, receiving a request to place the set of digital advertisements, integrating a digital content valuation as an input to a reinforcement learning agent, assigning a criticality factor for the digital content valuation, employing the reinforcement learning agent to match advertisements with relevant content environments, optimizing the advertisement placement algorithm, generating a recommendation for advertisement placement by the advertisement placement algorithm, wherein generating the recommendation includes matching advertisements with a relevant content environment, placing the advertisement based on the recommendation, and maximizing engagement and revenue generation.

This invention relates to the field of power line identification technology, specifically to a power line identification sign with display function, including a mounting plate and a multimedia screen. A protective shell is provided on the outside of the multimedia screen, and a quick-connect mechanism is provided between the protective shell and the mounting plate for quickly installing the protective shell on the side of the mounting plate. A reflective adjustment mechanism is provided between the multimedia screen and the protective shell to adjust the angle of the multimedia screen according to changes over time. This power line identification sign with display function effectively solves the reflection problem caused by fixed vertical placement of the sign through the reflective adjustment mechanism. The current control device can adjust the current through wires to control four current adjustment modules according to changes over time, changing the repulsive or attractive force between electromagnet one and electromagnet two, avoiding glare and uneven brightness caused by ambient light, reducing the risk of operational errors, ensuring the display effect of digital advertising content, and improving the reliability of information transmission.

A method for celebrity-based advertising includes storing, in a server, a likeness of subject and a corresponding booking that includes parameters outlining availability of the subject for digital advertising. The method further includes receiving or creating, by the server, a pitch that falls within the parameters of the booking, the pitch corresponding to the subject. The method further includes receiving, by the server and from a first user device, a first image of the likeness of the subject or another likeness of the subject. The method further includes determining, by the server, that the image matches the likeness of the subject. The method further includes transmitting, by the server, the pitch to the first user device to be output by the first user device.

The present invention provides an automated system (100) and method for tracking interactions, calculating payouts, and personalizing digital advertisement delivery to healthcare professionals (HCPs). The system (100) comprises an account management module (110) to verify user credentials, ensuring the user is a healthcare professional, and a consent management module (120) to record and store user consent on a secure, immutable ledger. A tracking module (130) logs user interactions with advertisements, capturing engagement data. The system (100) further includes a dashboard generation module (140) that displays engagement metrics, a personalization module (150) that delivers targeted advertisements based on user profile data, and a payout calculation module (160) to compute payouts based on engagement quality, advertisement demand, and predefined thresholds. A reward management module (170) provides incentives for HCPs to engage with content and participate in surveys.

1. Name of the product of this design: Digital Billboard. 2. Purpose of this design product: This design product is used to display digital advertising information. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

The application relates to the technical field of digital advertising, in particular to a dynamic advertisement putting method based on end-side AI real-time content analysis. The application constructs a lightweight scene monitoring model based on an optical flow method and interframe difference, calculates the motion saliency of a video stream in real time, and triggers key frame extraction; a main analysis model is used to perform instance segmentation on the key frame, to generate a pixel-level mask and a refined boundary of a target subject, and to perform region-of-interest cutting and background elimination based on the mask; a hybrid semantic analysis model is used to extract explicit discrete labels and implicit high-dimensional visual feature vectors in parallel, to capture texture, material and style attributes of the target; end-side knowledge graphs and visual dominance scores are combined to perform semantic consistency verification and logic conflict resolution on the recognition result, to generate visual feature representation; finally, based on histogram analysis and edge detection, a visual interaction floating layer with adaptive transparency and a proper position is rendered on the video layer, and digital advertising is put to users.

The invention is a video directory. The directory is a digital advertising product, having a system of presenting business owners and businesses to the public. The system is a compilation of videos on one or more platforms or listing sites that use a directory format.

A vending machine with an improved cabinet design is disclosed. The cabinet is constructed with a tapered configuration wherein the rear portion is narrower than the front, enabling optimal installation in architectural corners, against curved surfaces, or within circular floorplans. The machine comprises integrated audiovisual components, energy-efficient lighting, secure payment infrastructure, and modular connectivity for digital advertisement display and vending operations, along with other optional features. Optional features include AI-based product tracking, camera for security and / or product management (29) and a multi-use housing structure in the lower section of the machine that incorporates waste disposal (26) and / or print advertising (25). This invention expands both the placement flexibility and multifunctional capability of vending systems in constrained and high-traffic environments.

This invention relates to the technical field of digital advertising and discloses a digital advertising method and system based on virtual communities. The invention uses merchant virtual units to display digital models of target products, while customer virtual units can observe products from multiple dimensions. Based on the transaction records of the target products, offline observation information is obtained from the customer virtual units, and the product digital model is reconstructed accordingly, generating a set of measured reference models. By parallel matching of the product digital models of different merchants within the virtual community and the measured reference model set, a personalized temporary community scene is generated for the customer virtual units. Based on the customer's registration information, logistics delivery prediction is performed on the product information in the temporary community, generating a personalized product prediction model. This helps customers make more accurate shopping decisions. This method enhances the personalization and accuracy of advertising, improves the customer shopping experience and advertising effectiveness, and solves the problem of low advertising effectiveness in existing technologies.

The invention discloses an intelligent decision support method and system based on causal inference, and relates to the technical field of data analysis, and the method comprises the steps: reading the operation multivariate structure data of each historical digital advertisement service, finding and analyzing the causal structure of the operation multivariate structure data according to a mixed causal structure, and obtaining the causal structure of the operation multivariate structure data; establishing a causal directed acyclic graph of each digital advertising service; performing causal effect identification estimation according to an operation multivariate structure data causal structure in the causal directed acyclic graph, marking an effect state between causal variables, and establishing a causal directed weighted acyclic graph of each digital advertising service; and analyzing stability and heterogeneity between causal structures of each path in the causal directed weighted acyclic graph, substituting the stability and heterogeneity into the digital advertisement marketing causal decision model, and generating a causal influence decision support scheme of each digital advertisement service. The method has the advantages that a reliable basis is provided for optimal configuration and personalized marketing of advertisement resources, and the rate of return on investment and the operation efficiency are greatly improved.

The invention of the electronic and processor-controlled digital advertising display is characterized in particular by the fact that one or more displays (monitors) and one or two minicomputers are integrated into the digital advertising display (see Figure 1 A + B + C). The basic structure of the display (e.g., dimensions in cm: H 130 x W 60 x D 70) consists of special aluminum profiles (see Figure 1 A + B + C). Depending on the application, the side panels / outer surfaces can be clad with any conceivable material (sheet metal, aluminum, plastic, glass, writable films, etc.) (see Figure 1 A + B + C).

The invention discloses a cross-platform advertisement putting budget dynamic distribution system, and relates to the technical field of advertisements, and the technical scheme is characterized by comprising the following steps: obtaining an initial budget distribution parameter of a current advertisement putting stage, and carrying out putting scene simulation according to the initial budget distribution parameter to obtain user behavior characteristic data; obtaining a reference conversion data value according to the historical budget distribution parameter and the historical conversion data; obtaining a conversion loss data value according to an association influence trend feature between the historical user behavior feature data and the historical conversion loss value; an actual conversion data value is obtained according to the reach increment, the active diffusion range and the conversion loss data value, the initial budget distribution parameter is dynamically optimized and adjusted according to the reference conversion data value and the actual conversion data value, and then an advertisement budget distribution management and control result is output, and the effect is that the method is suitable for complex and changeable digital advertisement putting scenes.

The invention discloses a data processing method and a related device, and relates to the field of digital advertisement, and the method comprises the steps: obtaining the identification information of a traffic user; determining the income generated by the traffic user and the acquisition cost of the traffic user based on the monitoring identifier clicked by the user; based on the income generated by the traffic user and the acquisition cost of the traffic user, determining the return on investment of the traffic user; and when the return on investment of the traffic user is greater than the target return on investment, returning the identification information of the traffic user to the target platform, so that the target platform searches for a target user whose user value is matched with the traffic user corresponding to the identification of the traffic user, and sends the target user to the target platform according to the target object information indicated by the information identification. And displaying the target object to the target user. According to the invention, screening of user traffic can be realized, and the probability of loss of users attracted in a buying stage at the present stage is reduced.

The present invention relates to an intelligent method for dynamically delivering advertising content based on user emotion recognition; the method collects facial image data of a user watching an advertisement in real time through a camera device, and inputs the data into a computer vision emotion analysis model to generate line-of-sight focus data and a user experience score, where the user experience score includes interest level, concentration level, and emotional tendency; based on this score, the advertising content with the highest matching degree with the current user state is selected from a preset advertising content library, and according to the line-of-sight focus data recognized by the emotion analysis model, the visual layout of the advertising content and the positions of key information elements are dynamically adjusted; in addition, the method also adjusts the presentation mode of the advertisement according to the real-time change of the user experience score to enhance the personalization and interactive experience of the advertisement; the present invention can improve the precise delivery of advertising content and user attention, and is applicable to application scenarios such as digital advertising screens, e-commerce platforms, and intelligent retail terminals.

A digital advertising system includes at least one processor configured to execute a plurality of functional modules including an analytics module to receive and analyze client attributes associated with a website visitor and a requested website to define an analytics event. The analytics module ingests and enriches data within the analytics event and provides it to a machine learning module that generates prediction models for potential bids. A management platform receives the bidding prediction and generates candidate configs. An optimization module receives the candidate configs and applies weights and additional features to select a config and generate an optimized script for the selected config. A deployment module receives the optimized script and delivers the script to the website visitor.

In some examples, a system comprises at least one programmable processor; and a machine-readable medium having instructions stored thereon which, when executed by the at least one programmable processor, cause the at least one programmable processor to execute operations comprising: receiving a first request from at least one user device to execute an instance of an application; transmitting a graphical user interface (GUI) to the at least one user device to be rendered on a display of the at least one user device; receiving a second request, via the GUI, from the at least one user device, to deploy a digital advertisement, the second request including a set of platforms of a plurality of platforms of a multi-platform integration system, a set of settings, a set of parameters, and a set of allocation data; interfacing with each one of the platforms in the set of platforms; and integrating a digital advertisement directly with each one of the platforms in the set of platforms based on the set of settings, the set of parameters and the set of allocation data.

A dynamic digital advertising content system having a front end system and a back end system, and used to present product content to a user's computing device in the form of a digital circular. The back end system provides retailers and third party access to upload, and update, product content information for the digital circular, including videos and animations. The dynamic digital advertising content system can include integrations for third-parties such as digital coupon providers and loyalty program providers. The system permits users the ability to share with other users merchandise displayed in the digital circular and / or selected for a shopping list. Such shared content can be dynamically arranged for subsequent presentation on a computing device of the recipient. The digital circular is further customizable for individual retailers or retailer locations, as well as customizable based on detected histories and / or characteristics of the user receiving the digital circular.

Some implementations relate to methods, systems, and computer-readable media for digital advertising within a virtual experience provided at a virtual experience platform. A user's avatar's viewpoint, perspective, time spent viewing, and other attributes are accurately tracked to determine an overall advertising impression. Different advertisements may be displayed to an avatar based on the avatar approaching a digital advertisement element and being within a threshold distance of the digital advertising element. Furthermore, metrics based upon user engagement may be tracked and associated with displayed advertisements.