Abstract
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.
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Notes
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To make simple and without loss of generality, we assume through all the paper that the smaller the value the better it is.
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Bousnina, F.E., Elmi, S., Chebbah, M., Bach Tobji, M.A., HadjAli, A., Ben Yaghlane, B. (2017). Skyline Operator over Tripadvisor Reviews Within the Belief Functions Framework. In: Jallouli, R., Zaïane, O., Bach Tobji, M., Srarfi Tabbane, R., Nijholt, A. (eds) Digital Economy. Emerging Technologies and Business Innovation. ICDEc 2017. Lecture Notes in Business Information Processing, vol 290. Springer, Cham. https://doi.org/10.1007/978-3-319-62737-3_16
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DOI: https://doi.org/10.1007/978-3-319-62737-3_16
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