20 results about "Target groups" patented technology

A system for the dynamic optimization of sponsored product advertising using real-time data and machine learning, which includes the following: a) a data collection and integration module configured to collect real-time data from advertising platforms, e-commerce websites and user interactions, and to integrate key performance indicators such as impressions, click-through rates (CTR), conversion rates and competitors' bidding strategies; b) a data preprocessing and filtering module configured to clean, normalize and structure the collected data by removing inconsistencies, duplicates and irrelevant information; c) a machine learning machine configured to analyze historical and real-time data using predictive models, including deep learning and regression algorithms, to identify patterns in user behavior and optimize bidding strategies; d) a real-time trend analysis module configured to detect emerging market trends, seasonal fluctuations and changes in consumer sentiment to enable adaptive adjustments to ad placement; e) a bid management and optimization module configured to dynamically adjust ad bids in real time based on auction data, competitor activity and performance metrics to ensure cost-effective ad placements; f) a module for targeting and segmenting audiences, configured to classify users based on demographic data, browsing behavior, purchase history and engagement patterns, thus ensuring optimal ad delivery to relevant consumers; (g) an ad creative optimization module configured to analyze ad performance using A / B testing and natural language processing (NLP) and automatically make recommendations or changes to ad creatives to improve engagement and conversion rates; h) a performance monitoring and analytics dashboard configured to provide real-time visual insights into ad performance metrics, optimization recommendations, and budget usage; (i) an automated decision and control system configured to make bid adjustments, budget reallocations, and target audience refinements based on machine learning insights without manual intervention; and j) a compliance and fraud detection module configured to monitor ad interactions, detect fraudulent activities such as click fraud and bot traffic, and ensure compliance with platform policies; with the system continuously optimizing sponsored product advertising by using real-time data and machine learning to maximize return on investment and improve advertising efficiency.

The invention relates to the technical field of drainage volume delivery and operation analysis, in particular to a drainage volume accurate delivery strategy and operation suggestion analysis system. The method comprises the following steps: a data acquisition and preprocessing unit acquires data from a plurality of sources and processes the data; the user portrait and target group analysis unit constructs user portraits after data processing, groups users through a clustering algorithm, identifies target users by adopting an RFM model, and predicts target user demands through a time sequence ARI MA model; and the traffic delivery and advertisement optimization unit selects delivery channels according to the user portraits, formulates delivery strategies, and generates personalized advertisement contents based on a convolutional neural network in combination with target user interests and market hotspots. According to the invention, technologies such as a clustering algorithm, an RFM model and an ARI MA model are utilized, and the system can accurately identify and predict the demand and behavior pattern of a target user.

A system (100) for using AI / ML in automating media buying, comprising the following: a data collection and integration module configured to gather data from multiple sources, including user behavior, historical campaign performance, and real-time interactions from digital advertising platforms; a module for audience segmentation and targeting that is configured to use AI / ML algorithms to segment users based on demographic and behavioral data, thereby enabling personalized ad delivery; a campaign optimization and budget allocation module configured to use AI algorithms to dynamically allocate advertising budgets to high-performing campaigns and platforms, thereby maximizing return on investment (ROI); an ad placement and scheduling module configured to automatically select the optimal time and platform for ad placements based on real-time data analysis; a bid management module that uses AI algorithms configured to automate bid adjustments based on campaign goals and platform performance; a real-time performance monitoring and adjustment module configured to adjust campaign parameters, including targeting, bids and budgets, in real time to optimize campaign performance.

The invention discloses an advertisement aggregation putting monitoring management optimization method and device, equipment and a medium, and relates to the technical field of advertisement putting management. According to the method, an advertisement putting protocol of an advertisement platform is converted into a standard putting protocol; the method comprises the steps of obtaining advertisement data of an advertisement platform, generating and optimizing a putting strategy, performing effect prediction on the optimized putting strategy, and further adjusting the putting strategy. Therefore, through standardized conversion of delivery protocols of different platforms, it is possible to optimize advertisement delivery budget, frequency, advertisement materials and targeted target groups based on delivery data of different platforms, so that an advertiser can be helped to make an advertisement delivery strategy with a better effect, and a better advertisement delivery effect is achieved.

To provide technology that allows for the prediction of how effective a promotional campaign will be for different target groups. [Solution] The policy result acquisition unit 51 performs a process to acquire information obtained as a result of the implementation of a promotional policy targeting at least one of doctors or patients, as policy result information for each of the one or more policies. The policy effect prediction unit 52 performs a process to predict the policy effect based on the policy result information for each of the one or more policies acquired by the policy result acquisition unit 51. For a predetermined policy among the one or more policies, the policy result acquisition unit 51 takes the time when the policy is implemented after improvement considerations have been made based on the prediction of the previous policy effect as the current time, and performs a process to acquire the information obtained as a result of the current implementation as the policy result information for the current time. The policy effect prediction unit 52 then performs a process to predict the policy effect of the predetermined policy for the current time based on the policy result information for the current time.

The invention discloses a big data advertisement putting effect analysis system and method based on a cloud platform, and relates to the technical field of big data analysis. According to advertisement content, advertisement labels are extracted, and advertisement target groups are determined; collecting advertisement putting data and user behavior data of each platform, constructing a data analysis module, and analyzing audience labels of each platform and advertisement conversion data of each label in each time period; constructing an effect prediction model, and predicting the delivery effects of different advertisement labels in different platforms in different time periods; in combination with the indexes, a comprehensive scoring system is established, and a personalized putting suggestion report for the advertisement is generated; the advertisement putting effect is monitored in real time, effect verification and strategy adjustment are carried out through an A / B test, and the optimal advertisement putting effect is ensured. According to the method, the label extraction and the target group analysis are refined, various indexes and data are integrated, the advertisement putting effect is visually displayed, and an optimization strategy is provided.

A method for facilitating an action of a target group and a system thereof are provided. In one embodiment, the method is a computer-implemented method for performing operations to facilitate a target group to read an identifier with a device. In one embodiment, the method comprises the steps of: a) reading and verifying the validity of the identifier associated with a particular data category, where the identifier triggers data processing hardware to receive input data unique to the identifier; and b) providing an output R paired with the particular data category, where the output has a sufficient value to trigger the target group to repeat step (a) in the presence of another identifier.

The invention discloses an advertisement effect evaluation method and device, and relates to the technical field of advertisement putting data processing. A specific embodiment of the method comprises the following steps: determining a target group of an advertisement to be exposed; acquiring waybill data of the to-be-exposed advertisement, and determining approved audiences according to the waybill data and the target group; advertisement information and user information are determined according to the contacted audiences and the waybill data; calculating advertisement effect data based on the advertisement information and the user information; the advertisement effect data comprises one or more of the following data: advertisement putting data, city distribution data, audience portraits, audience behavior analysis data and behavior distribution data; and displaying the advertisement effect data. According to the embodiment, the defects caused by adopting questionnaire survey are avoided, the labor cost is reduced, and the advertisement effect evaluation index is clarified.

The invention relates to the technical field of data processing, in particular to an intelligent recommendation method and system based on a family circle portrait. The method comprises the following steps of: analyzing household user data of a platform, performing preliminary fitting analysis on commodities of an advertisement and household user consumption data of the platform to obtain a propagation income basic expected value of the advertisement put on the platform, and taking the propagation income basic expected value as a basic value; performing overall fitting calculation by combining the manufacturing style of the advertisement with the target group style in the home users of the platform and the overall home user style of the platform to obtain a revenue correction value of the advertisement; comprehensive fitting is carried out in combination with the propagation income basic expected value of the advertisement put on the platform and the income correction value of the advertisement to calculate the comprehensive propagation income, and the comprehensive propagation income can show the adaptation degree between the made advertisement style and the putting platform home user in a more detailed manner; therefore, more detailed and specific guidance indexes are provided for advertisement putting, and accurate advertisement putting is facilitated.

The invention provides an advertisement putting decision pushing method and system based on an AI technology, and relates to the technical field of advertisement putting decision pushing, and the method comprises the steps: S1, obtaining the personnel flow and image information at a target position; s2, analyzing the age group of the personnel according to the image information; s3, determining group characteristics according to the proportions of the personnel at the position at different age groups; s4, synchronously sending the target group characteristics and the advertisement putting request to an advertisement data terminal; s5, the advertisement data terminal identifies group characteristics, selects advertisements belonging to the group, and confirms putting; s6, advertisement image display; the technical key points are as follows: an image acquisition unit is used for acquiring a position image of an advertisement needing to be put, and the proportion of people of all age groups flowing in the area is determined in a period of time according to the flow condition of the people in the area and the facial features of the identified people; and the advertisement data terminal can be supported to deliver the advertisement to the image display unit from the advertisement library, so that the intelligent delivery work of the advertisement is realized.

The invention discloses a target group personnel identification method and device. The method comprises the following steps: acquiring personnel information and social activity information of a plurality of crime-related personnel associated with a target case; according to the social activity information, determining an association relationship among the involved persons; according to the personnel information, the social activity information and the association relationship, constructing a social network corresponding to the plurality of involved personnel; analyzing the social network by using a community discovery algorithm, and determining a target group from a plurality of involved persons; and according to the personnel information of each first involved personnel not divided into the target group and the social activity information between each first involved personnel and each second involved personnel in the target group, determining potential group personnel from the plurality of first involved personnel, and adding the potential group personnel to the target group. The technical problem that an existing data analysis tool is difficult to efficiently and accurately mine the information of the personnel in the target group is solved.

The embodiment of the invention discloses a group anomaly recognition method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a group identification text of each target group where a target object is located, carrying out the word segmentation of each group identification text, and obtaining a plurality of candidate words; respectively determining a first number of the candidate words hitting the group identification text, and determining the candidate words of which the first number is greater than or equal to a first threshold value as first target words; classifying each group identification text into one of the first target words, determining a second quantity of each first target word classification group identification text, and determining the first target words of which the second quantity is greater than or equal to a second threshold value as second target words; and performing group anomaly recognition based on the group identification text classified to the second target word to obtain an anomaly recognition result, thereby improving the accuracy of group anomaly recognition, and being widely applied to scenes such as cloud technology, artificial intelligence, smart traffic and the like.

The invention provides a content recommendation method and device, equipment and a storage medium, and relates to the technical field of computers, in particular to the technical field of intelligent recommendation. According to the specific implementation scheme, candidate media content is determined from media content to be recommended; wherein a target group index of the candidate media content is greater than a preset index threshold, and the target group index is obtained based on content features of the media content and interaction features of a target group; performing priority ranking on the candidate media contents based on the interaction characteristics of each candidate media content to obtain a first ranking result; and determining target media content recommended to a target user from the candidate media content by using the first sorting result, the target user belonging to the target group. According to the method, the comment participation rate of the target user can be improved, the accuracy and efficiency of content distribution are optimized, and the user experience is also improved.

This invention belongs to the field of online public opinion dissemination, and specifically relates to a rumor information control method based on evolutionary game theory and multi-state analysis. It acquires data sources and extracts internal factors, external factors, and message influence that affect rumor dissemination from these sources. Internal factors include user activity and user sensitivity; external factors include topic popularity and friend referral power; and message influence includes the influence of rumor messages and the influence of doubtful rumors. Based on the payoff function of message influence in terms of users believing and forwarding rumor information versus believing and forwarding doubtful rumors, evolutionary game theory is used to obtain the driving forces behind user participation in the dissemination of rumor messages and the behavioral driving forces behind user participation in the dissemination of doubtful rumors. A control system is constructed, and the optimal conversion rate of the control strategy to transform the target group into a specified group per unit time is calculated. This invention accurately describes the multi-state user rumor dissemination process in social networks and provides a theoretical basis for rumor control.

A system and method for generating and optimizing marketing campaigns. More specifically, a campaign management system leverages a Large Language Model (LLM) to create multiple variations of an existing campaign tailored to specific target groups. The system employs a cluster-based approach and a click-through rate (CTR) prediction model to generate revised campaigns for targeted readers, thereby creating a feedback loop for further fine-tuning of the LLM for future campaigns.

Apparatus and methods present a content item and question from an inquirer to a group of users in a first feedback session with a requirement for the users to provide predictions of how a member of a distinct target group will respond to the content item, receiving, during the first feedback session, the first group's prediction of the target group's responses, presenting, during a second feedback session, the same content item and the same question to the target group with a requirement for the target group to provide responses directed to their own responses, constructing a predictive model of the target group based on responses received from the target group during the second feedback session, measuring accuracy of the first group's predictions using the target group predictive model and providing the inquirer access to an ordered visual representation of the first group users arranged as a function of accuracy.

We provide the system. [Solution] A device for receiving and analyzing characteristic information of the target population, A device that uses a generative model based on analyzed target group information to generate advertising concepts related to the aforementioned target group, A terminal device equipped with an interface for displaying the generated advertising concept, A system that includes this.

This invention belongs to the field of big data processing, specifically relating to a method for updating advertisements on an advertising delivery device. It includes the following steps: Step 1: Obtain the feature data of the currently playing advertisement. Step 2: Obtain feedback data from each user regarding the advertisement playback. Step 3: Based on the keyword dataset, audio stream data, video stream data, and SW value obtained in the first two steps, calculate the user's approval rating value E for the current advertisement. n Step 4: Update the ad playback sequence table according to the following rules: Sort the average approval rating results of each ad in all played ad sequences within an update cycle; delete the ads ranked lower in the rating ranking table, and add the ads that need to be added to the ad playback sequence table. This invention solves the problem that existing ad delivery devices cannot obtain user feedback on the delivered ads, and cannot adjust the ad playback order based on feedback from the target group.

The application discloses a kind of processing method, device and electronic equipment of social group.It relates to the field of financial technology or other fields, and the method comprises: receiving the request instruction triggered by target object, wherein the request instruction is used to request to establish target group;Based on the request instruction, the historical chat information of the current social group to which the target object belongs is obtained;The first processing is carried out on the historical chat information, the association degree of the target object and other objects in the current social group is determined, and a plurality of association degree values are obtained;The second processing is carried out on the historical chat information, and the credibility value corresponding to the target object is obtained;According to a plurality of association degree values, credibility value and current social group, target group is established.The application solves the technical problem of low processing efficiency in the process of processing social group in the prior art.

The invention relates to a multimedia resource interaction method and device, a medium, electronic equipment and a program product, and particularly relates to the technical field of interface interaction.The method comprises the steps that an interaction control including at least one group photo template is displayed in multimedia resources, a target group photo template is selected from the at least one group photo template in response to template selection operation, and the target group photo template is selected from the at least one group photo template; the sharing operation is responded, the target group photo template is shared to the target user indicated by the sharing operation, and then after the users participating in the target group photo template complete the group photo, the card used for receiving the target object associated with the multimedia resource is displayed, so that the interaction mode between the promotion content and the users can be increased, and the user experience is improved. The interestingness of the promotion content is effectively improved, the diversity of promotion interaction is enriched, and more promotion information can be borne through group photo targets and cards, so that the propagation efficiency of the promotion information is improved.