56results about How to "Improve advertising effectiveness" patented technology

The invention discloses a short video advertisement putting optimization evaluation method based on deep learning, and relates to the technical field of advertisement putting, and the method collects user behavior data in real time, constructs a dynamic user portrait, enables an advertisement system to adjust the advertisement content and putting strategy in time according to the interest change of a user, improves the correlation of advertisements, and improves the advertisement putting efficiency. Meanwhile, user behavior mode data and advertisement content labels are subjected to multi-dimensional matching, and the matching degree of the advertisements and user interests is calculated by combining cosine similarity with a weighting algorithm, so that advertisement recommendation is more personalized and accurate, the advertisement click rate and conversion rate are greatly improved, and the advertisement recommendation efficiency is improved. Meanwhile, the optimal opportunity of advertisement display is defined by analyzing the exit tendency of the user and the advertisement clicking tendency, it is guaranteed that the advertisement can be displayed at the moment when the user is most likely to interact and click, and the problem of low conversion rate caused by poor opportunity in a traditional method is solved.

The invention discloses a video advertisement putting effect intelligent analysis and management system based on big data analysis, and relates to the technical field of data analysis. The system comprises: a data processing part for collecting a multi-dimensional data set after advertisement putting, mapping the multi-dimensional data set to a high-dimensional feature space by using a kernel function to obtain a high-dimensional data set, and performing dimensionality reduction on implicit feature representation by using Laplacian feature mapping to obtain low-dimensional embedded representation; the user behavior prediction model part is used for capturing time dynamic characteristics of user behaviors by adopting a bidirectional long-short-term memory network according to the low-dimensional embedded representation, and predicting future user behaviors; and the putting effect management part is used for defining a multi-target evaluation function and formulating a putting action, so that the putting strategy parameter vector approaches to the target putting strategy parameter vector, and the putting effect of the advertisement is maximized. According to the invention, the advertisement putting effect can be evaluated, the advertisement putting strategy is improved, and the accuracy and intelligence of the advertisement putting effect are improved.

The invention relates to the technical field of digital marketing, in particular to a digital advertisement putting method based on big data, and the method comprises the following steps: initializing an advertisement model, importing advertisement request time sequence data, carrying out time sequence analysis, adjusting an enqueue rule and a processing rate, calculating request distribution in a differentiated time period, and generating model parameter configuration. According to the invention, through a queuing theory and time sequence data analysis, advertisement time sequence and processing efficiency optimization, time sequence analysis and parameter adjustment, advertisement timeliness is enhanced, user activity peak synchronization is ensured, user participation degree and advertisement effect are improved, and recalculation of service time and estimation of waiting time support real-time monitoring of service efficiency. Accurate matching of advertisement resources and user requirements is achieved, real-time adjustment of strategies and simulation testing rapidly adapt to market changes, the resource utilization efficiency and ROI are improved, and precision and economic benefits of advertisement putting are remarkably improved through fine management and data driving optimization.

The invention relates to the technical field of advertisement putting, in particular to a digital advertisement system. The system comprises a data acquisition preprocessing module, a deep learning model reasoning module, a scene adaptation decision module, a dynamic frequency adjustment module and a performance monitoring and feedback circulation module. The data acquisition preprocessing module collects and cleans multi-dimensional user behavior data in real time, and ensures high-quality data input; the deep learning model reasoning module constructs and updates a context sensing map, captures the instant demand and complex context relationship of the user, and provides an accurate personalized recommendation basis; and the scene adaptation decision module intelligently judges the instant state of the user in combination with the real-time context information, and determines the optimal advertisement display opportunity. According to the method, a context perception map technology is introduced into a deep learning model reasoning module, so that accurate capture of instant behaviors of a user and a complex context relationship is realized, and the instant behaviors and the complex context relationship are efficiently associated, and therefore, more personalized and timely advertisement contents are provided.

The invention discloses a video processing method and device, an advertisement putting method and device, equipment, a medium and a product, and the video processing method comprises the steps: obtaining a to-be-processed video stream, and obtaining key event information in the to-be-processed video stream, the key event information comprises event information of a key event occurring in a target frame in the to-be-processed video stream; on the basis of the key event information, a supplemental enhancement information frame is inserted in a position adjacent to the target frame in the video stream to be processed, a target video stream is obtained, the supplemental enhancement information frame comprises the key event information, and the supplemental enhancement information frame is used for playing the target video stream in the playing process of the target video stream. And when the supplementary enhancement information frame is played, triggering the advertisement putting content matched with the key event. According to the embodiment of the invention, the advertisement putting effect can be improved.

The invention discloses a traffic tool side window advertisement display management system and method, particularly relates to the field of intelligent bus advertisement systems, is used for solving the problems of accurate matching and seamless display of advertisements in a dynamic driving situation, and is used for accurately extracting vehicle driving state data through a multi-source data fusion and Kalman filtering technology. And carrying out feature analysis by using a deep learning model, and generating a driving situation label in real time. Based on the labels, the system intelligently screens out advertisements highly matched with the current situation, analyzes duration and robustness in combination with historical driving data, and optimizes an advertisement selection strategy by using a reinforcement learning algorithm. And finally, through a pre-caching mechanism and a seamless switching algorithm, it is ensured that the optimal advertisement content can be dynamically loaded and stably displayed on a bus side window display, and continuity and fluency of advertisement playing are achieved. The correlation and efficiency of advertisement putting are remarkably improved, and the riding experience of passengers and the advertisement communication effect are enhanced.

The utility model discloses an advertising lamp box with a mosquito repelling function, which comprises a first support and a second support, a sliding strip is arranged on one side of the first support, a sliding groove is arranged on the second support, the first support is slidably connected onto the second support through the sliding strip, the advertising lamp box further comprises a rotating shaft and an outer frame, and the outer frame is rotatably connected onto the first support through the rotating shaft. A heat dissipation opening is formed in one side of the outer frame, an electric shock net is arranged below the heat dissipation opening, and a trap lamp is installed in the electric shock net. Through cooperation of a trap lamp, an electric shock net, a first support, a sliding strip, a second support and a sliding groove, the trap lamp attracts winged insects to fly to the position near the lamp box, the electric shock net kills the winged insects, mosquitoes and other winged insects entering the lamp box are effectively reduced, cleanliness and sanitation of the interior of the lamp box are kept, and risks of potential safety hazards such as short circuits and fire disasters are reduced; the sizes of the first support and the second support are adjusted according to requirements, the advertising lamp box is increased, the exposure and coverage area of advertisements are improved, and the advertising effect and the propaganda effect are improved.

The invention relates to the technical field of computer science and information engineering, and discloses a rearrangement method applied to an advertisement recommendation system, and the method comprises the steps: building a data collection module, a data preprocessing module, a data feature extraction module, a data algorithm module, a data evaluation module and a data optimization module; advertisement, user and context data collection is carried out in the data collection module, the data preprocessing module cleans and formats the collected data, the data feature extraction module carries out feature extraction on the formatted data, and the data algorithm module calculates the feature extraction data. And the data evaluation module performs system directivity evaluation on a calculation result, directivity evaluation optimization of the data evaluation module is realized through the data optimization module, and the data optimization module performs user interest direction adjustment, total benefit value improvement and comprehensive data favorable comment feedback synchronous adjustment according to the data, so that continuous optimization of the system is ensured.

The invention discloses an advertisement recommendation method, system and device and a storage medium, and the method comprises the steps: obtaining user portrait data of a current access user, the user portrait data comprising real-time behavior data and historical behavior data of the access user, and the historical behavior data comprising advertisement data of an advertisement displayed to the access user; determining at least one candidate advertisement data matched with the access user based on the user portrait data; inputting the candidate advertisement data and the user portrait data into a pre-trained advertisement putting pre-estimation model, and obtaining putting effect pre-estimation data corresponding to the candidate advertisement data output by the advertisement putting pre-estimation model; determining an optimal bid corresponding to each piece of candidate advertisement data based on the delivery effect estimation data corresponding to each piece of candidate advertisement data; and determining the optimal advertisement data according to the optimal bid corresponding to each candidate advertisement data, and displaying the optimal advertisement data to the access user, thereby improving the flexibility and accuracy of advertisement putting.

The invention discloses an IP drift shielding and advertisement putting method and device, computer equipment and a readable storage medium, and the method comprises the steps that a television terminal initiates an advertisement obtaining request containing the IP of the television terminal to an advertisement system, and the advertisement system judges whether the IP of the terminal is in a shielding list or not according to an IP shielding library, and further determines the type of a put advertisement material and a monitoring address. According to the method, advertisements can be accurately put, IP drift is effectively dealt with, the advertisement putting effect and the monitoring accuracy are improved, and the user experience is optimized.

The invention relates to an information display method and an information display screen system.The method comprises the following steps that a first interface is displayed on a price tag screen, price tag information of a current commodity is displayed on the first interface, and the price tag information comprises the name and price of the current commodity; after the first preset time, the price tag screen jumps from the first interface to the second interface, and the first advertisement picture is displayed on the second interface in a full screen mode; and after a second preset time, jumping from the second interface to a third interface on the price tag screen, the third interface comprising an advertisement area and a price tag area, and the advertisement area displaying a second advertisement picture associated with the first advertisement picture. In the information display process of the electronic price tag information, the information of the advertising product is displayed by the master screen, so that the information of more advertising products can be displayed, the advertising effect is improved, and meanwhile, the use value of the electronic price tag is improved.

The utility model discloses adjustable angle's roller axle formula light box, including the light box body, be provided with three above -mentioned support wheel subassembly in the light box body, more than one the support wheel subassembly between the tangent setting has the rotation ring, the rotation ring and one of the support wheel subassembly between be provided with the angle control subassembly for adjusting the rotation ring angle, the rotation ring middle is provided with double -sided rolling formula light box piece subassembly, through the improvement light box piece's rolling structure and peripheral rotation structure, realize light box piece horizontal vertical rolling's free switching, guarantee double -sided advertisement content under any angle all can complete, clearly show.

The invention discloses an intelligent frequency tracking method and device in advertisement putting, computer equipment and a readable storage medium, and the method comprises the steps: firstly obtaining an advertisement putting request containing a current frequency and a corresponding equipment number, and then obtaining a pre-configured frequency tracking calculation model to determine a target equipment demand number of the current frequency, judging whether the current equipment quantity reaches the target required quantity or not; if yes, responding to the request to carry out advertisement putting and recording frequency distribution; and if not, not responding. By means of the design, accurate tracking and intelligent control over the advertisement putting frequency are achieved, resource configuration is optimized, and the advertisement putting effect and the user experience are improved.

The invention relates to the technical field of advertisement media, and discloses a media promotion system based on unmanned control, which comprises a data acquisition module, a data analysis module, a decision module, a promotion platform and unmanned control equipment, and is characterized in that the data acquisition module is used for acquiring user behavior data and market dynamic data in real time; the data analysis module is used for analyzing the collected data and extracting feature data, the decision module generates a promotion strategy according to a data analysis result, the promotion platform is used for displaying advertisement content and controlling advertisement putting, and the unmanned control device is connected with the data analysis module and the promotion platform through wireless communication. The promotion content, the delivery mode and the time arrangement can be automatically adjusted according to the generated promotion strategy. The method has the advantages of automation, intelligence and high efficiency, can effectively solve the problems of low popularization efficiency, high cost and slow response in the prior art, and provides a new solution for advertisement putting and media popularization.

The utility model provides a kind of integrated compartment house's advertisement and ventilation guide board belongs to advertising field, including mounting plate, the side of mounting plate is provided with folding support assembly, the side of folding support assembly is provided with ventilation component;The folding support assembly includes the first plate hinged to the side of mounting plate, the first plate one end is hinged with second plate, and the second plate one end is hinged with mounting bracket, the utility model will guide board be converted into integrated air treatment terminal, the directional introduction of external air is realized by external fresh air source, and efficient purification is completed in equipment inside, finally clean airflow is accurately released to guide board peripheral area, this design directly aims at the problem of hypoxia, stuffy of people flow dense closed space such as integrated compartment house, while providing guide service, actively improve local micro-environment air quality, significantly improve visitor's comfort.

The utility model provides a ponding warning integrated advertising board which comprises a first supporting column, the bottom face of the first supporting column is fixedly connected with a fixing base, the outer surface of the first supporting column is sleeved with a fixing sleeve, and the inner wall of the fixing sleeve is fixedly connected with a second supporting column. The bottom face of the second supporting column is fixedly connected with the upper surface of the first supporting column through a fixing sleeve, the upper surface of the second supporting column is fixedly connected with a solar panel, the outer surface of the second supporting column is rotationally connected with a first rotating sleeve and a second rotating sleeve, and the left side face of the first rotating sleeve is fixedly connected with an LED warning board. By means of the integrated advertising board for ponding warning, a driver can be reminded to pay attention to road ponding in time, road traffic accident risks caused by ponding are reduced, road ponding conditions are monitored in real time, relevant information is issued in time, vehicles can be guided to avoid areas with serious ponding, attention of the public to the road ponding can be improved, and driving safety is improved. And safety awareness is enhanced.

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 sensitive word detection and word recommendation method and system, a medium and equipment, and relates to the technical field of word detection and recommendation. The method comprises the following steps: obtaining product information of a target product, and determining a propaganda material based on the product information; formula information of the target product is extracted from the product information, and a first recommendation word set is determined based on the formula information and the propaganda materials; detecting and processing sensitive words in the first recommended word set to obtain a second recommended word set; and performing association expansion on the second recommendation word set, and performing sensitive word verification on the expanded recommendation word set to obtain a target recommendation word set. By implementing the technical scheme provided by the invention, the accuracy and correlation of word recommendation of the product can be improved, so that the advertising effect and the market performance of the product are enhanced.

The invention discloses a multimedia advertisement design platform based on the Internet of Things, comprising a data collection module, an advertisement delivery module and an advertisement design module. The data collection module is used to collect comprehensive browsing data of users, feedback data of users and purchase records, and input historical advertisement comprehensive benefit data into the system. The advertisement delivery module is used to analyze the user's preference for browsing information on a web page, analyze the user's consumption willingness and consumption level, analyze the characteristics of the advertisement content entrusted by the advertiser, match the user with the advertisement according to the analysis result, analyze the browsing level preferred by the user, formulate an advertisement delivery plan according to the analysis result, further analyze the revenue effect of the delivery plan, and determine the advertisement delivery plan according to the revenue effect. The advertisement design module is used to communicate with the advertiser to modify the advertisement design, render the advertisement effect and display it to the advertiser. The invention has the characteristics of improving accuracy and advertisement benefit.

The present invention relates to a method and system for realizing advertisement playback by using a virtual digital image, wherein the method steps include matching the advertisement playback content with the associated virtual digital image; combining the virtual digital image with the advertisement playback content, and guiding the user to play the corresponding advertisement according to the advertisement playback content through the virtual digital image. The system is also provided with a sound instruction package for controlling the virtual digital image to perform voice broadcast according to the advertisement playback content; a posture instruction package for controlling the posture change of the virtual digital image and executing action instructions; combining the virtual digital image with the advertisement playback content, and guiding the user to play the corresponding advertisement according to the advertisement playback content through the virtual digital image. The present invention uses a virtual digital image to guide the playback of advertisements, stimulate the interest of the audience, increase the sense of scene substitution, and improve the advertising effect.

The invention discloses a personalized advertisement putting method and device, equipment and a storage medium, and relates to the technical field of intelligent advertisements, and the personalized advertisement putting method comprises the steps: obtaining user interaction data, initial advertisement content and sensitive word classification; processing the user interaction data according to the sensitive word classification through a multi-modal agent to obtain a target sensitive word; performing optimization adjustment on the initial advertisement content according to the multi-modal intelligent agent and the target sensitive word to obtain target advertisement content; and pushing and displaying the target advertisement content to complete advertisement putting. According to the method and the device, accurate advertisement putting is realized, the effectiveness of the advertisement and the experience satisfaction degree of the user are also improved, the advertisement content received by the user better conforms to personal interests and requirements of the user, the annoyance of the advertisement talking over the market is avoided, and the user experience is improved. Therefore, the maximization of the advertisement effect and the optimization of the user experience are realized in the whole advertisement putting process.

The utility model discloses an advertisement design lamp box, which belongs to the technical field of advertisement lamp box production and comprises a base, a limit frame is fixedly mounted at the top of the base, a plurality of triangular plates are arranged in an inner cavity of the limit frame, lamp bars are arranged in inner cavities of the triangular plates, and the bottom ends of the triangular plates can be turned over through a rotating mechanism. According to the utility model, each set square is provided with three different inclined planes, so that the device can store and display information three times that of a single-sided display device. By means of the design, the space utilization rate is increased, more diversified advertisement content is allowed, when advertisements need to be replaced, only the advertisement drawings on the corresponding triangular plates need to be replaced, the whole display device does not need to be replaced, and therefore the maintenance cost and time are reduced, and compared with a plurality of traditional independent display devices, the display device is more convenient to use. According to the device, multi-face display is achieved through one rotating mechanism, material consumption and energy use are reduced, and the device conforms to the green sustainable development principle.

The present invention provides a method and device for grid-based delivery of advertising resources, which belongs to the field of advertising delivery, including: dividing the space based on at least geographic coordinates and the scope of advertising delivery to obtain multiple first grids; obtaining the advertising resource delivery cycle; obtaining the inflow speed of the first delivery object and the outflow speed of the first delivery object corresponding to the first grid; obtaining the starting inventory of the first delivery object and the ending inventory of the first delivery object; determining the delivery priority and ideal delivery method corresponding to the first grid; and determining the weight coefficient corresponding to each first grid based on the delivery priority corresponding to all the first grids. The present invention judges whether the number of people who can actually see the advertisement in the first grid after the advertisement is delivered is sufficient based on external liquidity and internal liquidity, thereby comparing the importance of different grids, and then obtaining a more accurate weight coefficient, thereby improving the effect of advertising delivery.

The embodiment of the invention discloses a recommendation content generation method, a recommendation content generation model training method, a recommendation content generation model training device, computer equipment, a medium and a program product. Application program data used for describing the first application program and first object behavior data generated in the process that the object browses the first application program are further obtained; according to the method, the style feature vector is obtained by performing feature extraction on the application program data, so that the style to which recommendation content expected to be recommended by the first application program belongs can be determined based on the style feature vector, and the first object feature vector is obtained by performing feature extraction on the object description data and the first object behavior data; therefore, the interest preference of the object can be clarified, the interaction behavior of the object and the page in the process of browsing the first application program can be clarified, the recommended content and the overall style of the application program are more coordinated, more objects are attracted, and the user experience and the advertisement putting effect are improved.

The invention discloses an intelligent advertisement putting method in a game, belongs to the technical field of game development, and aims to solve the problem that an existing advertisement putting system in the game reduces the practicability of advertisements. The intelligent personalized advertisement recommendation mode has the technical effects that the intelligent personalized advertisement recommendation mode constructs accurate user multi-aspect feature description and personalized modeling by utilizing user behavior data, more accurate personalized recommendation is carried out, it is ensured that advertisements seen by users better meet user interests and requirements, and the click rate and the conversion rate of the advertisements are improved; a real-time data analysis and feedback mechanism is introduced, an advertisement putting strategy is adjusted in real time, a response can be made rapidly when user behaviors change, and the real-time performance enables the intelligent advertisement putting system to be more intelligent and flexible.

The present invention relates to the field of big data, and in particular to a method for identifying high-value advertising users based on big data, comprising obtaining an advertising information data set, a user information data set and a flow data set; dividing the flow data set to obtain multiple groups of user flow samples, pre-processing each group of user flow samples to obtain corresponding training samples, constructing an advertising high-value user identification model, and using the training sample set to train the advertising high-value user identification model; and optimizing the parameters of the advertising high-value user identification model through double threshold contrast loss and partial weight cross entropy loss until the model converges; obtaining user data to be identified and inputting it into the trained advertising high-value user identification model to obtain a user value identification result; the present invention improves identification accuracy.

The present disclosure relates to an advertisement display method, device, equipment and storage medium, the method comprising: in response to detecting a setting operation for a target application, sending an advertisement resource acquisition request to the server of at least two advertisement channels in parallel; receiving the advertisement resource returned by the server based on the advertisement resource acquisition request; and displaying advertisements in the target application based on the advertisement resource. The present disclosure can realize requesting advertisement resources from at least two advertisement channels at the same time, thereby shortening the time for acquiring advertisement resources, improving advertisement display efficiency, and thus improving advertisement delivery effect and user experience.

The invention provides an RTB optimization method, system and device based on a pyramid data model, and the method comprises the steps: collecting the historical bidding data of online advertisements, carrying out the data preprocessing, generating the original data of each advertisement in each time period, defining a time scale sequence, carrying out the data aggregation processing of the original data, and carrying out the data aggregation processing of the original data; the method comprises the steps of forming pyramid type multi-scale structure data from thin to thick and from bottom to top, constructing a pyramid data model, dynamically selecting a reference time scale, extracting short-term data and long-term data from the pyramid data model, fusing the short-term data and the long-term data with time decay weight, and inputting a bidding optimization model under budget constraint. And generating a real-time bidding strategy of the online advertisement, and carrying out retraining and fine tuning on the bidding optimization model to form closed-loop optimization. According to the invention, by constructing a closed-loop system of data acquisition, multi-scale processing, strategy optimization and effect feedback, important support is provided for improving the advertising effect of advertisers.