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Netflix goes glocal
Published 2021-01-01“…L’articolo propone l’analisi quantitativa e qualitativa di alcune campagne pubblicitarie transmediali esemplari dedicate al mercato italiano, realizzate per contenuti Netflix Originals negli ultimi anni. In particolare identifica le articolazioni strategiche, tra marketing e design, dei contenuti promozionali local: questi contenuti propongono agli utenti una comunicazione percepita come personale attraverso forme di storytelling interattivo, declinando nei social network ricorrenze stagionali, pop-star, influencer e gossip locali. …”
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NETFLIX & CHILL WITH MR. SOUL
Published 2022“…Shamsul Harbi, they gathered at the Executive Lounge, UMP Pekan Library for a session of ‘Netflix & Chill with Mr. Soul’.…”
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Ecological interactions and the Netflix problem
Published 2017-08-01“…Recommenders are algorithms developed for companies like Netflix to predict whether a customer will like a product given the preferences of similar customers. …”
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Series Review SHTISEL (Yes/Netflix, IL 2013–2021) and UNORTHODOX (Netflix, DE 2020)
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NO RULES RULES : Netflix and the Culture of Reinvention /
Published 2020Subjects: “…Netflix (Firm)…”
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An Investigation on the Streaming Industry: With the Case of Netflix
Published 2023-01-01“…The American streaming company Netflix is one of them. In this paper, The author will explore exactly how the success of Netflix, a company that started out as a small DVD rental company, became the most successful streaming company in the world. …”
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Netflix – The Curation of Taste and the Business of Diversification
Published 2021-10-01Subjects: “…netflix…”
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Netflix Nations: The Geography of Digital Distribution
Published 2021-01-01Subjects: “…netflix…”
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Deconstructive Analysis of Netflix Series Hollywood
Published 2021-04-01“…As a result of this study, it has been revealed that Netflix series Hollywood feeds the hegemonies it criticizes and serves those structures.…”
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Netflix Movie Recommendation Using Fuzzy Logic
Published 2021-10-01“…Two databases were used with which we were able to retrieve approximately 1000 movies which are on the Netflix platform. From these movies we took four attributes (Audience Score, Critic Score, Audience Count and Year) with which we have designed 19 fuzzy logic inference rules calculating in this way the probability of movie recommendation, then we filtered according to user data: age, preferred movie length, year of the movie production, genre, and language of the movie, finally with the attributes and data provided by the user se managed to recommend a list of movies. …”
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Can the Subaltern Stream?: Trauma, Intersectionality, and Netflix
Published 2023-01-01Subjects: “…Netflix…”
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ETHOS DISCURSIVO DA MARCA NETFLIX NO YOUTUBE
Published 2021-06-01Subjects: “…Netflix…”
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Netflix in Web of Science: a bibliometric approach
Published 2022-10-01Subjects: Get full text
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The Netflix Effect in the Age of Video on Demand Services
Published 2020-10-01Subjects: Get full text
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Queering the competitive cooking show: performance on/of Netflix’s Nailed It!
Published 2021-04-01“…This paper will look at Netflix’s Nailed It!, a competitive cooking show that introduces humor to the traditional format. …”
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Netflix’s ‘Gambling, Explained’ and the Evolving Public Perception of Gambling
Published 2021-11-01“…A CGS Blog entry entitled: "Netflix’s ‘Gambling, Explained’ and the Evolving Public Perception of Gambling".…”
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