Streaming, sharing, stealing : big data and the future of entertainment /
"Traditional network television programming has always followed the same script: executives approve a pilot, order a trial number of episodes, and broadcast them, expecting viewers to watch a given show on their television sets at the same time every week. But then came Netflix's House of...
Guardado en:
| Autor principal: | |
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| Otros Autores: | |
| Formato: | Libro |
| Lenguaje: | Inglés |
| Publicado: |
Cambridge, Mass. :
The MIT Press,
2017, c2016.
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| Edición: | 1st MIT paperback ed. |
| Materias: | |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 020 | |a 9780262034791 |q (hardcover) | ||
| 020 | |a 0262034794 |q (hardcover) | ||
| 020 | |a 9780262534529 |q (paperback) | ||
| 020 | |a 0262534525 |q (paperback) | ||
| 020 | |a 9780262335881 |q (electronic bk.) | ||
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| 040 | |a U@S |b spa |c U@S | ||
| 049 | |a U@SA | ||
| 050 | 4 | |a TK5105.386 |b .S65 2017 | |
| 100 | 1 | |a Smith, Michael D., |d 1968- | |
| 245 | 1 | 0 | |a Streaming, sharing, stealing : |b big data and the future of entertainment / |c Michael D. Smith and Rahul Telang. |
| 250 | |a 1st MIT paperback ed. | ||
| 260 | |a Cambridge, Mass. : |b The MIT Press, |c 2017, c2016. | ||
| 300 | |a xi, 215 p. ; |c 23 cm. | ||
| 504 | |a Incluye referencias bibliográficas e índice. | ||
| 505 | 0 | |a I. Good times, bad times: House of cards -- Back in time -- For a few dollars more -- The perfect storm -- II. Changes: Blockbusters and the long tail -- Raised on robbery -- Power to the people -- Revenge of the nerds -- Moneyball -- III. A new hope: Pride and prejudice -- The show must go on. | |
| 520 | |a "Traditional network television programming has always followed the same script: executives approve a pilot, order a trial number of episodes, and broadcast them, expecting viewers to watch a given show on their television sets at the same time every week. But then came Netflix's House of Cards. Netflix gauged the show's potential from data it had gathered about subscribers' preferences, ordered two seasons without seeing a pilot, and uploaded the first thirteen episodes all at once for viewers to watch whenever they wanted on the devices of their choice. In this book, Michael Smith and Rahul Telang, experts on entertainment analytics, show how the success of House of Cards upended the film and TV industries--and how companies like Amazon and Apple are changing the rules in other entertainment industries, notably publishing and music. We're living through a period of unprecedented technological disruption in the entertainment industries. Just about everything is affected: pricing, production, distribution, piracy. Smith and Telang discuss niche products and the long tail, product differentiation, price discrimination, and incentives for users not to steal content. To survive and succeed, businesses have to adapt rapidly and creatively. Smith and Telang explain how." --Descripción del editor. | ||
| 650 | 0 | |a Streaming technology (Telecommunications) | |
| 650 | 0 | |a Television broadcasting |x Computer networks. | |
| 650 | 0 | |a Television broadcasting of films |x Computer networks. | |
| 650 | 0 | |a Data transmission systems. | |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Motion pictures. | |
| 650 | 7 | |a Tecnología de streaming (Telecomunicaciones) |2 UDESA | |
| 650 | 7 | |a Televisión |x Emisiones |x Redes de computadoras. |2 UDESA | |
| 650 | 7 | |a Televisión |x Transmisiones de películas cinematográficas |x Redes de computadoras. |2 UDESA | |
| 650 | 7 | |a Sistemas de transmisión de datos. |2 UDESA | |
| 650 | 7 | |a Grandes volúmenes de datos. |2 UDESA | |
| 650 | 7 | |a Películas cinematográficas. |2 UDESA | |
| 700 | 1 | |a Telang, Rahul. | |