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Netflix recommends : algorithms, film choice, and the history of taste / [electronic resource]
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Frey, Mattias, author. |
| 서명/저자사항 | Netflix recommends :algorithms, film choice, and the history of taste /Mattias Frey.[electronic resource] |
| 발행예정일자 | 2110 |
| 형태사항 | 1 online resource |
| 소장본 주기 | WorldCat record variable field(s) change: 072 |
| ISBN | 0520382021 9780520382022 |
| 서지주기 | Includes bibliographical references and index. |
| 내용주기 | Introduction -- Why we need film and series suggestions -- How algorithmic recommender systems work -- Cracking the code, part I : developing Netflix's recommendation algorithms -- Cracking the code, part II : unpacking Netflix's myth of big data -- How real people choose films and series -- Afterword : robot critics vs. human experts -- Appendix : designing the empirical audience study. |
| 요약 | "Algorithmic recommender systems, deployed by media companies to suggest content based on users' viewing histories, have inspired hopes for personalized, curated media, but also dire warnings of filter bubbles and media homogeneity. Curiously, both proponents and detractors assume that recommender systems are novel, effective, and widely used methods to choose films and series. Scrutinizing the world's most subscribed streaming service, Netflix, this book challenges that consensus. Investigating real-life users, marketing rhetoric, technical processes, business models, and historical antecedents, Mattias Frey demonstrates that these choice aids are neither as revolutionary nor alarming, neither as trusted nor widely used, as their celebrants and critics maintain. Netflix Recommends illustrates the constellations of sources that real viewers use to choose films and series in the digital age, and argues that, although some lament AI's hostile takeover of humanistic cultures, the thirst for filters, curators, and critics is stronger than ever"-- |
| 주제명(단체명) | Netflix (Firm) Netflix (Firm) -- fast -- |
| 일반주제명 | Streaming video -- Social aspects -- United States. Recommender systems (Information filtering) -- Social aspects. SOCIAL SCIENCE / Media Studies |
| 주제명(지명) | United States. -- fast |
| 언어 | 영어 |
| 기타형태 저록 | Print version:Frey, Mattias.Netflix recommendsOakland, California : University of California Press, [2021]9780520382381 |
| 대출바로가기 | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3066447 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00022274 | 384.55/54 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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