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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Schrage, Michael, author. |
| 서명/저자사항 | Recommendation engines /Michael Schrage. |
| 발행사항 | Cambridge, Massachusetts : The MIT Press, 2020. |
| 형태사항 | 1 online resource. |
| 총서사항 | The MIT Press essential knowledge series |
| 소장본 주기 | OCLC control number change |
| ISBN | 9780262358798 0262358794 9780262358781 0262358786 |
| 발행자번호 | EB00811221 |
| 서지주기 | Includes bibliographical references and index. |
| 요약 | "How does Netflix know just what to suggest you watch next? How does Amazon determine what a "customer like you" has also purchased? The answer is recommender systems, the technological concept that lies at the heart of most of the successful companies in the digital economy. Michael Schrage starts with the origins of recommender systems, which go back further than you think (see: the Oracle at Delphi for one of history's earliest recommenders), and a history of the first companies to harness recommendations. He then discusses the technology behind how recommenders work: the AI and machine learning algorithms that power these recommender platforms. Next he discusses the role of user experience, and how recommender systems are designed, and how design choices function as nudges to make certain recommendations more salient than others. He explores three case studies: Spotify, Bytedance, and Stitch Fix, looking at how recommenders can create new business solutions and how algorithms can go beyond curation to content creation. The concluding chapter on the future of recommender systems is perhaps the most enlightening. Moving away from technology and business, Schrage embraces the philosophical, probing the role of free will in a world mediated by recommender systems (a recommendation inherently offers a choice; without the element of choice, any digital manipulation of our preferences cannot truly be called a "recommendation"), and exploring the role of recommender systems as a means of improving the self. In the vein of Free Will, this book presents the essential information while revealing the author's point of view. Schrage wants to push our understanding of recommender systems beyond the technological, to understand what societal role they play and what opportunities they offer now and in the future"-- |
| 일반주제명 | Recommender systems (Information filtering) COMPUTERS / Internet / Search Engines. |
| 언어 | 영어 |
| 기타형태 저록 | Print version:Schrage, Michael.Recommendation engines.Cambridge, Massachusetts : The MIT Press, 20209780262539074 |
| 대출바로가기 | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2371173 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00018484 | 025.04 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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