Research on Advertising Distribution Mechanism Based on Participant Incentives
Abstract：To address the issues of information overload, user resistance, and excessive resource consumption in advertising distribution tasks within mobile social networks, this paper adopts the Cloudlet mobile cloud computing model to construct an advertising distribution system framework centered around participants. The mobile client realizes perception of the physical environment and social behavior, uploads the sensed data, and forwards advertisements under an incentive policy. The cloud uses machine learning algorithms to identify user emotions and behaviors. At the same time, a trusted billing and account mechanism is established to ensure the integrity and non-repudiation of the bill. In addition, an NS-3 simulation network environment is built to complete the algorithm's simulation and verification. The results show that the algorithm has superior performance.
Keywords：Mobile Social NetworkAdvertising DistributionUser EmotionIncentive MechanismMachine Learning
Publication Date：2025-09-25
Pages：4( 67-70 )