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The crowdsourcing Tripadvisor platform do not offer a multi-criteria filtering functionality for their users. Thus, these users are obliged to choose only one criteria to filter a query’s results. In this paper, we introduce a new skyline operator, in the context of belief functions theory, to meet the multi-criteria filtering objective. The queried data, modeled with the theory of belief functions, takes into account all reviews and also reviewers’ reliabilities. Experiments show interesting results of the proposed skyline operator in terms of size and performance.