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This paper proposes a privacy protection and evaluation method for locationservices based on edge computing environment. By constructing the site servicedata protection and system evaluation system in the edge computing environment,based on the existing user privacy protection work, the data processing moduleand service evaluation module are constructed, and the evaluation algorithm isdesigned. NPE evaluation model and POE evaluation model are designed accordingto relevant research recommended by IPE. Specifically, in the NPE evaluationmodel, we regard each user's decision as a group of factors, and propose amethod to integrate learning factors. In the poe evaluation model, users'hidden intentions for the next action are understood by unifying metadatainformation, two time contexts and other different factors. The experimentverifies the effectiveness and feasibility of this method.

Privacy protection and service evaluation methods for location-based services in edge computing environments