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dc.contributor.advisorFischer, Gustavo Daudt
dc.contributor.authorMoraes, Jader Fontoura de
dc.date.accessioned2021-08-23T19:47:08Z
dc.date.accessioned2022-09-22T19:43:47Z
dc.date.available2021-08-23T19:47:08Z
dc.date.available2022-09-22T19:43:47Z
dc.date.issued2021-07-02
dc.identifier.urihttps://hdl.handle.net/20.500.12032/64293
dc.description.abstractThis research talks about the meanings produced by Recommending Systems on streaming platform Netflix’s cultural interfaces. Using Bergson’s intuition method (BERGSON, 2006; DELEUZE, 1999) to comprehend the Recommending Systems as a virtual that updates itself inside Netflix’s graphical user interfaces, or cultural interfaces (MANOVICH, 2001), which are filled with particular meanings in its language. This experiment was made through cartography and flânerie (BENJAMIN, 2009), with escavations made through technical documents and other information about the platform. In this experiment, Netflix’s cultural interface territory was mapped through screenshots taken through the navigation of three profiles which differientiate themselves by the usage of specific title research, multiple device usage and the avaliation system inside the platform. Experiments results were described through Benjamin’s constellations (BENJAMIN, 2009) related to criteria inferred by examining the Recommending System movements. The proposed constellations were: transparency meanings through age criteria, individuation meanings through regional criteria, niche meanings through categorization criteria and stickyness meanings through exclusivity criteria. We found out that there is an ambivalence on communications of users and of Netflix as a Corporation, which is evident through the cultural interface, where the users interests can bend to the first constellations described and corporate interests bend to the last ones.en
dc.description.sponsorshipNenhumapt_BR
dc.languagept_BRpt_BR
dc.publisherUniversidade do Vale do Rio dos Sinospt_BR
dc.rightsopenAccesspt_BR
dc.subjectSistemas de recomendaçãopt_BR
dc.subjectNetflixen
dc.titleSentidos produzidos pelo sistema de recomendações na interface cultural da Netflixpt_BR
dc.typeDissertaçãopt_BR


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