5 results about "Budget allocation" patented technology

The application provides a media information effect attribution and budget intelligent allocation method and system, relates to the technical field of media information, and comprises the following steps: constructing a conversion path by analyzing a user touch sequence and calculating attribution contribution weights of each media channel, and then obtaining an attribution return on investment. Based on this, a budget allocation optimization model is constructed to maximize the overall return, and a target budget scheme is generated for execution. After execution, the conduction effect of budget adjustment is analyzed through a cause-effect tracking map, and feedback is fed back to optimize the attribution weight calculation, so that dynamic closed-loop optimization and accurate effect evaluation of budget allocation are realized.

The present application relates to the technical field of electronic commerce, and more particularly to a user journey attribution and budget self-optimization method for e-commerce global investment, comprising the following steps: step 1: collecting multi-channel user behavior event streams, taking the difference between the cumulative amount of conversion event condition strength values of the original sequence and the counterfactual residual sequence in the unified prediction interval as the unified window counterfactual conversion risk drop; step 2: for each target channel, obtaining the net causal attribution coefficient through multi-fold cross fitting double machine learning; step 3: constructing a cumulative attribution revenue concave utility function for each channel, forming an iterative closed loop of attribution modeling, causal debiasing and budget allocation. The present application can finely capture the timing incentive effect and decay characteristics of cross-channel touchpoints, effectively eliminate the confounding interference of user self-selection bias on attribution estimation, and ensure that the long-term cumulative revenue of the budget allocation strategy gradually approaches the theoretical optimal level in a non-stationary investment environment.

This invention relates to the field of programmatic advertising technology. More specifically, it relates to a budget allocation and pacing control method based on campaign value feedback. The method first divides the advertising campaign period into multiple time intervals according to a preset timeframe; it obtains the initial target spending for each time interval and confirms the actual spending and campaign result value of the ads already placed within each time interval, constructing a campaign time-series dataset; it calculates the unit budget value efficiency based on the campaign time-series dataset, constructs a relative score for each time interval, and constructs a target spending curve based on the relative score; it obtains the actual cumulative spending for each time interval to calculate the cumulative spending deviation, and determines the update direction of the campaign adjustment factor based on the sign direction of the cumulative spending deviation; based on the collected and calculated change in the ratio between actual spending and target spending and the change in the campaign adjustment factor, it calculates effectiveness evaluation data.

This invention relates to the field of advertising technology, specifically to a method for intelligent advertising placement and budget allocation in cross-border e-commerce based on reinforcement learning. The invention defines different agents based on different product categories and target markets. The decision-making process of each agent is constructed using an MDP model. Each agent independently deploys an Actor network, while a central server deploys a global Critic network. Each agent is trained locally, and the Critic parameters of each agent after local training are uploaded to the central server. The central server trains the global Critic network to maximize the multi-objective global reward function and then distributes the trained global Critic network to each agent, obtaining optimized Actor parameters for each agent and outputting the advertising action strategy. This invention achieves reasonable advertising placement by considering global rewards, product characteristics, and target market conditions.

We provide the system. [Solution] A method for obtaining real-time information on the usage status of meeting facilities, searching for available meeting facilities, and suggesting them to users, A means for analyzing legal or human resources documents using natural language processing to identify important sections and generate revision suggestions, A method for collecting financial data, analyzing past spending patterns, and proposing the optimal budget allocation, A means to secure real-time information on the reservation status of public resources from citizens and suggest the optimal usage time, A means of generating feedback to notify citizens of important changes and risks in administrative documents, A system that includes this.