34 results about "Computational advertising" patented technology

The invention provides an elevator multi-mode crowd feature perception and intelligent advertisement putting method and system, and relates to the technical field of intelligent advertisement putting, and the method comprises the steps: collecting multi-mode perception data in an elevator through an edge computing terminal; performing feature decoupling on the data, performing cross-modal semantic alignment, establishing a directed association relationship between modals, and constructing a scene feature map; calculating the topology importance degree of map nodes, screening feature nodes, and extracting context information for semantic coding; mapping the scene semantic code and the advertisement audience semantic code to a two-dimensional coordinate system to construct a semantic matching graph, and extracting an optimal matching path to form a candidate set; predicting a scene evolution trend based on the scene characteristic spectrum evolution trajectory, and calculating an advertisement adaptive score to generate a playing sequence; putting and collecting user interaction data feedback according to the sequence to update the graph structure. According to the invention, accurate crowd feature recognition and advertisement dynamic matching are realized, and the advertisement putting efficiency and the user experience are improved.

The invention belongs to the field of advertisement analysis, and provides an advertisement putting effect evaluation and analysis system and method based on data analysis, and the method comprises the steps: constructing a cognitive state vector of a user based on multi-source behavior data before and after the contact between the user and an advertisement; modeling is conducted on user cognitive state vector changes caused by advertisement putting, cognitive intervention vectors of the advertisements are generated, and the cognitive intervention vectors represent the variable quantity of the cognitive states of the users after the users make contact with the advertisements; based on the language feedback, the visual behavior and the emotion track of the user, evaluating the consistency between the user behavior response and the cognitive intervention vector direction, and outputting a multi-modal behavior consistency score; tracking a behavior path of the user from advertisement click to final conversion, forming a conversion chain feature, and identifying a path length, a path node type and a path response time delay; and fusing the cognitive intervention vector, the multi-modal behavior consistency score and the conversion chain feature, and calculating a cognitive effect comprehensive score of advertisement putting for putting effect evaluation.

The invention discloses a cross-border advertisement accurate delivery method, system and device based on a user portrait, relates to the technical field of cross-border digital marketing, and discloses the cross-border advertisement accurate delivery method, system and device based on the user portrait, which generates an accurate user portrait by integrating cross-regional behavior data. An advertisement putting strategy is dynamically calculated in combination with exchange rate, tax and logistics economic parameters, and compliance adaptation is performed based on legal and cultural rules, so that the problems of single data dimension, inaccurate user portraits and lack of economic variables in the prior art are solved; the method has the advantages that the cross-border advertisement putting accuracy and conversion effect are improved, and the compliance risk is reduced.

The invention relates to a dynamic advertisement putting method and system oriented to a large language model, and belongs to the technical field of generative artificial intelligence and calculation advertisement crossing. According to the method, the semantic splitting problem of advertisements and natural language streams is solved through a three-level collaborative architecture, firstly, a semantic depth alignment module is constructed, and advertisement and natural language vectors are projected to a unified semantic space by using dual-channel adversarial training and orthogonal mapping constraints; a dynamic context adaptation module is constructed, dominant intentions are analyzed based on a self-attention mechanism, and scene advertisements are generated by fusing space-time-equipment signals; and finally, constructing an anti-fragility regulation and control module, and dynamically balancing the advertisement density and the user experience through an exponential attenuation model and a reinforcement learning fusing mechanism. The method breaks through the limitation of a static advertisement template, realizes the adaptive fusion of the advertisement content and the generative interaction scene, and is suitable for scenes such as a multi-language dialogue system and an intelligent search engine.

The invention discloses a new media promotion method and system based on the Internet, and belongs to the technical field of new media promotion, and the method specifically comprises the steps that the distribution density and the stop position of people in a waiting area are monitored in real time, load distribution data in a lift car are collected, and the vibration frequency and the start-stop state in the elevator running process are recorded; when it is detected that the density of people in the waiting area exceeds a set threshold value, switching to duration compressed advertisement content, and when the load distribution of the lift car displays that one side is crowded, displaying interactive advertisements in the free area; capturing a user eyeball movement track, calculating an advertisement interface fixation thermodynamic diagram, identifying a user gesture operation by using a millimeter wave radar, mapping a specific gesture into an advertisement content switching instruction, and generating a personalized advertisement recommendation scheme; and the advertisement interaction data is converted into a pushing strategy adjustment basis of adjacent elevators, a propagation path is established according to the flow rule of people in the elevator room, and when the advertisement click rate of a certain elevator exceeds a set value, a content recommendation signal is sent to the associated elevator.

The invention aims to provide a social network advertisement propagation and user behavior analysis integrated system, which belongs to the technical field of marketing data analysis and comprises a data acquisition module, a user portrait module, a propagation path module, a prediction engine module and an optimization regulation module. The data acquisition module acquires social data, advertisement interaction data and user behavior data. The user portrait module constructs a social influence model and generates a user feature tag and an interest map. The propagation path module identifies key propagation nodes, constructs a social network propagation model, and generates network diffusion vectors. The prediction engine module establishes a prediction model, calculates an advertisement interaction probability index, generates a resource allocation and optimal push strategy, generates a performance evaluation signal, and is bidirectionally connected with the optimization regulation and control module. The optimization regulation and control module monitors and predicts the operation state of the engine module in real time and sends out an optimization instruction according to the performance evaluation signal. The system can accurately analyze the user behavior, predict the advertisement propagation path, optimize the advertisement putting effect and improve the advertisement interaction possibility.

The embodiment of the invention provides a display device and an advertisement data playing method. According to the method, storage positions are dynamically allocated according to advertisement data characteristics, memory occupation is reduced, and the access speed of key data is increased; a priority score is generated by calculating the access frequency, the resource type weight and the final access time of the advertisement data, and a low-score data block is preferentially removed when the storage space is insufficient, so that the cache hit rate of high-frequency / hot advertisements is ensured; by downloading recent advertisement data to the local in advance, real-time downloading delay during playing is avoided, large file advertisements are stored in blocks, cached parts are read preferentially during playing, meanwhile, remaining data blocks are downloaded in the background, and rapid playing of the advertisement data is achieved. In addition, cloud advertisement data change is monitored, local cache is dynamically synchronized, data timeliness is ensured, a local index table is quickly queried before the advertisement is played, direct playing or playing while playing is selected according to cache integrity, waiting time is shortened, and the problem that the advertisement playing speed is low is solved.

The embodiment of the invention provides a computing advertisement creative agent construction method and related equipment, and belongs to the cross technical field of artificial intelligence and computing advertisement. The method comprises the following steps: sensing behaviors, environments and intentions of customers in real time through multi-modal data, and constructing dynamically updated scene semantic digital twins; based on the difference between the digital twinborn feedback and the expectation of the advertiser, disassembling a creative generation task into sub-tasks by using an RPA technology; and retrieving materials from the creative knowledge base by adopting a learning-decision-modeling-prediction (LDMP) model in combination with a retrieval enhancement generation (RAG) technology, and performing effect estimation and iterative optimization on the generated new creativity in a digital twin simulation environment until the personalized advertisement creativity meeting the expectation is output. Through deep fusion of digital twinning, RPA and generative AI, high intelligence, automation and individuation of advertisement creative generation are realized, and the advertisement putting effect and the user experience are remarkably improved.

The invention relates to the field of advertisement putting, and discloses a cross-platform dynamic advertisement promotion strategy intelligent generation system and method, and the system comprises a data collection module which is used for collecting original data from an advertisement platform, and carrying out the cleaning, processing and storage of the collected original data; the optimization engine module is used for constructing an advertisement putting strategy by applying a preset multi-objective optimization algorithm based on the cleaned original data, and calculating the optimal allocation of advertisement resources among the advertisement platforms by utilizing a game theory model; and the dynamic adjustment module is used for dynamically adjusting an advertisement putting strategy in real time according to the user behavior data and the advertisement putting data based on a Markov decision process model. According to the invention, by introducing the multi-objective optimization algorithm, the game theory model and the dynamic adjustment mechanism, accurate configuration and real-time optimization of cross-platform advertisement resources are realized, and the advertisement putting effect and the resource utilization efficiency are improved.

The invention relates to the technical field of internet advertisement services, and particularly discloses an intelligent advertisement pushing method based on an internet advertisement platform, which comprises the following steps: S1, taking the time when a user logs in the platform as a starting point, obtaining the stay duration of the user, and calculating the attention value of the user; s2, obtaining the advertisement pushing times of the platform in the monitoring period, and calculating the quality of the advertisement; s3, obtaining the number of times that the advertisement watching duration of the user is smaller than a preset value, correcting the quality to obtain comprehensive quality, calculating the mean value of the comprehensive quality of the advertisement, and setting an initial coefficient of the advertisement; and S4, setting an initial attenuation factor based on the comprehensive quality and the mean value, sorting and pushing the advertisements, updating the initial coefficient of the advertisements, and re-sorting and pushing the advertisements. Advertisement pushing is carried out on the user in a polling mode, the current situation that a head platform monopolizes flow and data is reduced, small and medium-sized enterprises obtain fair display opportunities, the Mortai effect is weakened, and innovation vitality is improved.

This invention discloses an optimization method combining user groups and pre-deployment advertising effectiveness, belonging to the field of computational advertising technology. The method includes: real-time acquisition of user behavior data streams; detection of user feature distribution drift using Wasserstein distance; triggering an adversarial generative network to dynamically segment user groups when a drift threshold is exceeded; and outputting user group labels and user-group membership matrices. It also involves collecting real-time conversion data after the execution of a multi-objective optimization strategy, evaluating the degree of user group shift and counterfactual prediction error using Mahalanobis distance, and triggering cluster model reconstruction and causal model calibration. This invention achieves continuous improvement in advertising resource utilization and conversion rate through closed-loop optimization of dynamic clustering, counterfactual gain calculation, multi-objective strategy collaboration, and feedback calibration, effectively reducing user fatigue and shortening the strategy iteration cycle to the minute level.

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.

The invention relates to the technical field of financial marketing, in particular to an integrated financial marketing management method and system based on a marketing data domain, and the method comprises the following steps: collecting customer transaction and preference data, calculating a change amplitude, normalizing the change amplitude into a feature vector, analyzing a group difference degree, calculating a change rate, and generating a judgment result; a personalized marketing plan is generated by combining the life cycle data clustering stage number and the conversion progress matching rhythm parameter, the advertisement space pushing frequency and the consultant service proportion are calculated according to the multi-group requirement to carry out resource optimization distribution, and interaction and transaction data after resource scheduling are collected and input into a regression model to be analyzed to generate a marketing effect evaluation result. According to the method, customer transaction and preference data quantitative changes are collected and normalized into feature vectors, a group difference degree dynamic identification state is analyzed, a life cycle clustering matching rhythm parameter generation strategy is combined, the advertisement space pushing frequency and consultant service proportion is optimized according to group requirements, and regression analysis is carried out to form closed-loop optimization management.

To provide an information processing device, a computation method and a program, which enable more appropriate computation of advertising fees.SOLUTION: An information processing device is provided, comprising a computation unit configured to compute a reward to be paid to a user when advertisement information attached to an item held by an avatar of a user is viewed by other users and link information to the item is manipulated.SELECTED DRAWING: Figure 1

This invention provides an information processing method, system, and program that enable the analysis of advertising effectiveness. [Solution] The method obtains first time series data, which is time series data of calculation period KPIs related to advertising a product or service, and the delivery time of the advertisement. It creates second time series data by omitting the calculation period KPIs within a predetermined time after the advertisement delivery time from the first time series data. Based on the second time series data and first reference information, it estimates third time series data by interpolating the missing portion. The first reference information is information that shows the relationship between the time series data before interpolation and the time series data after interpolation. The method also calculates a confidence interval in the third time series data based on the third time series data and the second reference information. The second reference information is information that shows the relationship between the time series data and the confidence interval. The method further calculates the advertising effect based on the confidence interval and the calculation period KPIs, and generates display information regarding the advertising effect.

The accuracy of impact measurement related to advertisements delivered to user terminals will be improved. The advertising apparatus includes: a storage unit that stores first user identification information and purchasing behavior information regarding a user identified by the first user identification information, the first user identification information and purchasing behavior information being related to each other; a unit that sends advertisements related to predetermined products or services to a plurality of user terminals, by determining different second user identification information for each user terminal; a unit that identifies the first user identification information that matches the second user identification information by comparing the first user identification information with the second user identification information;and a unit that calculates reaction information to an advertisement that indicates how many users have purchased a predetermined product or service among users identified by the first matched user identification information, based on purchase history information regarding the predetermined product or service, the purchase history information being included in the purchase behavior information associated with the first matched user identification information.;

The application discloses a cross-border advertisement accurate delivery method, system and device based on user portrait, relates to the technical field of cross-border digital marketing, and discloses the cross-border advertisement accurate delivery method, system and device based on user portrait, which generates accurate user portrait by integrating cross-regional behavior data, dynamically calculates an advertisement delivery strategy in combination with exchange rate, customs duty and logistics economic parameters, and is adapted in compliance with laws and cultural rules, thereby solving the problems of single data dimension, inaccurate user portrait and missing economic variables in the prior art, and having the advantages of improving cross-border advertisement delivery accuracy, conversion effect and reducing compliance risks.

The application belongs to the field of internet advertisement service, and provides a short video advertisement recommendation method, which comprises the following steps: capturing real-time interaction data of a user; obtaining a user label according to the real-time interaction data of the user; obtaining an advertisement sequence according to the user label, and calculating a real-time concurrent performance index of the advertisement; generating an optimal advertisement sequence combination according to the real-time concurrent performance index, and performing advertisement recommendation according to the optimal advertisement sequence combination. According to the advertisement recommendation method of the embodiment of the application, the timeliness and concurrent load of the advertisement can be comprehensively evaluated, the effect and efficiency of advertisement delivery are improved, the stability and user experience of digital content multi-network channels are enhanced, and the advertisement delivery process is comprehensively optimized.

An information processing apparatus, a calculation method, and a program for more appropriately calculating an advertisement rate are provided. The information processing apparatus includes a calculation unit that calculates a reward to be paid to a user on the basis of a fact that advertisement information attached to an item carried by an avatar of the user has been visually recognized by another user and a fact that there has been an operation on link information related to the item.

To support an advertising strategy by analyzing correlation by using data such as sales held by a facility operator and visitors' behavior data, and calculating investment effectiveness for the arrangement of advertisements on the basis of a result of the analysis.SOLUTION: An advertisement support device is provided, comprising: a movement data generation unit that automatically generates movement data from human flow data of consumers; a staying data generation unit that automatically generates staying data of visitors to a facility from the movement data or traffic data; a sales promotion target importance calculation unit that determines the importance of a sales promotion target attribute (sales promotion target importance) in an advertisement source facility by using the visitor staying data and facility data of the advertisement source facility; an advertisement investment effectiveness calculation unit that calculates the investment effectiveness of the advertisement by using the sales promotion target importance, advertisement source staying data, and advertisement source candidate data; a budget allotment calculation unit that allots an advertisement budge on the basis of the investment effectiveness; and a display screen creation unit that displays a result of calculation of the budget allotment on a terminal device.SELECTED DRAWING: Figure 2

The invention discloses a vehicle-mounted intelligent networking advertisement release and display method and system, and relates to the technical field of advertisement release and display, and the method comprises the steps: enabling an advertiser to carry out the advertisement release through constructing a cloud vehicle-mounted advertisement release platform, and setting an advertisement display scheme according to the vehicle owner information, the vehicle owner and advertisement interaction record and scene data, constructing a vehicle-mounted advertisement feature vector; carrying out group classification on the vehicle owners by adopting a clustering analysis algorithm to obtain a grouping result of a vehicle owner group; constructing an advertisement transaction item set of the vehicle owner group through an association rule learning algorithm, and generating a plurality of frequent transaction items by calculating the support degree of each single transaction in the advertisement transaction item set; and generating a group specific advertisement matching rule set, screening and matching candidate group specific advertisement matching rules to generate a preferred push advertisement, and pushing the advertisement to the vehicle owner. According to the method, intelligent matching and personalized recommendation of the advertisement content are realized through a double-layer optimization mechanism of clustering analysis and association rule learning.

The embodiment of the application discloses a kind of control methods of flow request, it is applied to demand side platform.In the method, the filling rate of advertisement transaction platform, delivery success rate and flow quality score are obtained;The filling index and delivery success rate index of demand side platform are obtained;According to filling rate, delivery success rate, flow quality score, filling index and delivery success rate index, the flow ratio of advertisement transaction platform is calculated;According to flow ratio, the quantity of flow request of advertisement transaction platform is adjusted, and adjustment result is obtained.It can be seen from this that, by the scheme provided in the embodiment of the application, the flow request of advertisement transaction platform is adjusted by flow ratio, the stability of demand side platform can be improved by automatically and effectively controlling multiple flow requests.

This invention provides an information processing method, information processing system, and program for analyzing the effectiveness of advertising. [Solution] In an information processing system in which an information processing device and multiple terminals are connected via a network, the control unit of the information processing device includes an acquisition unit that acquires first time series data, which is time series data of KPIs related to advertising of goods or services, and the time of delivery of the advertisement; a creation unit that creates second time series data by omitting calculation period KPIs, which are KPIs within a predetermined time period after the time of delivery of the advertisement, from the first time series data; an estimation unit that estimates third time series data by interpolating the missing portion based on the second time series data and first reference information; a calculation unit that calculates a confidence interval in the third time series data based on the third time series data and second reference information, and calculates the effect of the advertisement based on the confidence interval and calculation period KPIs; and a generation unit that generates display information for displaying information related to the effect of the advertisement.

The invention relates to the technical field of advertisement sorting methods, in particular to an advertisement sorting method and device, electronic equipment and a storage medium, and the method specifically comprises the following steps: 1, collecting and preprocessing advertisement basic information: collecting the basic information of to-be-sorted advertisements, including advertisement householder information, advertisement content information and advertisement putting information, then, the collected information is preprocessed; 2, user portrait and interest dimension calculation: constructing user portraits based on historical behavior data of platform users, including user basic attributes, short-term interest tags, long-term interest tags and consumption ability levels, and then calculating the matching degree of advertisements and user interests; according to the invention, the problem of dimension simplification in the prior art is solved, and three core dimensions of user interest, advertisement value and user experience are constructed.

The invention relates to the technical field of new energy charging and advertisement putting, and discloses an advertisement putting method and system based on a charging pile, and the method comprises the steps: collecting user interaction, behavior, position, time and environment data, and constructing a behavior feature data set; constructing a third-order behavior tensor based on the behavior characteristics, and decomposing to generate a user behavior embedding vector; calculating an information entropy value of advertisement selection; screening the target advertisement with the maximum entropy reduction amplitude for putting; displaying the target advertisement, collecting user response and updating behavior characteristics; retraining the behavior tensor model to adjust the advertisement strategy; the system comprises a data acquisition module, a tensor modeling module, a strategy optimization module, a strategy screening module, an edge putting module and a strategy updating module. According to the method, the behavior tensor taking the user identifier, the time slice and the geographic position as the three-dimensional index is constructed, and the behavior embedding vector is extracted by introducing the tensor decomposition method, so that the high-dimensional semantic modeling of the user behavior is realized.

The application discloses a personalized advertisement content accurate delivery method and system based on user portrait, and belongs to the technical field of intelligent promotion, which combines gender / age and other user portrait features and real-time elevator scene data, dynamically calculates advertisement playing benefit score R, realizes accurate matching of advertisement content and current audience, and improves the conversion efficiency of single advertisement. In addition, the application adopts a double evaluation mechanism of benefit score sorting and advertisement importance, dynamically generates an optimal playing scheme through an H1 value minimization algorithm, guarantees the exposure rights and interests of high-value advertisements, and can optimize the playing strategy in real time according to historical effects. The application introduces a completion proportion standard deviation monitoring, dynamically adjusts the playing order, balances the progress differences of various advertisements, and effectively avoids the long-term accumulation of some advertisements due to low benefit score.

The invention relates to the technical field of data processing, in particular to a digital marketing big data processing method and system.The method comprises the steps that channel distribution and click fields are extracted from marketing participant identifiers and training round numbers, and segmentation left shift XOR and remainder calculation is executed; an advertisement bid value is converted into an integer through decimal truncation and a multiple product, an abnormal score is calculated based on isolated forest multi-tree splitting depth after an out-of-interval value is removed, an abnormal item is removed, bit addition and carry are executed through a peak value, a valley value and a modulus, and an accumulated encrypted text sequence is generated; obtaining a safe aggregation gradient set through comparative statistics of bit-by-bit and abstract bit sequences, executing index item-by-item product and row-level accumulation on the aggregation gradient set corresponding to row vectors to obtain an update segment, then adding the update segment with corresponding column vectors item by item, and multiplying the update segment by a set scaling factor to execute local update; a BitFit mode is adopted to realize weight adjustment only aiming at the key parameters of the sub-matrix, so that global synchronization is avoided, and the calculation load is reduced.

The invention provides an advertisement putting evaluation and optimization method and system based on big data, and relates to the technical field of advertisement optimization, and the method comprises the steps: obtaining full-link data, user behavior time sequence data and putting environment attribute data, and generating a structured unified data mart; fusing the extracted user characteristic parameters with the delivery environment attribute data by using an attention mechanism fusion algorithm, and constructing a user behavior graph based on a graph neural network; a multi-dimensional difference evaluation model is constructed to calculate a causal effect value of advertisement intervention, and a putting effect evaluation index is generated in combination with a periodic feature matching mechanism; based on the evaluation index, an optimization strategy adjustment scheme is generated through a reinforcement learning algorithm and is automatically executed; the system comprises an optimization strategy generation module, an optimization strategy execution module and the like. According to the method, the accuracy and optimization efficiency of advertisement effect evaluation caused by data islands, dynamic fluctuation of user behaviors and market environment interference are improved, and accurate evaluation and dynamic adaptive optimization of advertisement putting are realized.

The embodiment of the present specification provides an advertisement putting plan determination method and device, equipment, and the method comprises the following steps: acquiring at least one putting area selected by an advertiser, at least two media selected and a first touch target set for each putting area; in the same coordinate graph, the slope curve corresponding to each touch curve under the putting area is displayed; the first touch target population of the advertiser for the putting area is calculated; the purchase exposure times of the media for putting the advertisement in the putting area are determined, so that the purchase exposure times of the media for putting the advertisement reach the first touch target population in the sum of the corresponding touch target population in the corresponding touch curve, and the advertisement putting plan of the advertiser for the putting area is generated according to the purchase exposure times of the media for putting the advertisement. The present application can quickly solve the distribution problem of the purchase exposure times of each media.

The invention discloses a cross-platform delivery method and a cross-platform delivery system for information flow advertisements. According to the scheme, the cross-platform delivery method comprises the following steps of: firstly, converting an advertisement task creation request into a standardized intermediate task and checking; and then real-time prediction indexes of click rate, conversion rate and thousand times of exposure cost of each target platform are obtained, an advertisement putting value score is calculated through a return-on-investment model, the priority of the platforms is sorted, and the first K platforms are selected as the target platforms. Then, the tasks are segmented, budget generation and delivery units are distributed according to scores, parameters are mapped through a platform adapter, authentication is executed, and APIs are called and distributed to a target platform. And then collecting response data for standardization for updating the parameters of the investment return model, monitoring the system state in real time, and executing a preset strategy and rescheduling the uncompleted delivery unit when an abnormality is detected.