| Recommenders 06 - September 13th - Day 2 |
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Título: Recommender Systems in Action * The Case of Netflix Autor: Jim Bennett, Netflix, Inc, USA Duración: |
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Título: Recommender Systems in Action * Seach Engines and Recommender Systems Autor: Kaushal Kurapati, Ask.com, USA Duración: |
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Título: The Long Tail Autor : Chris Anderson, Wired Magazine, USA Duración: |
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Título:Personalized Radio * Recommendations @ Yahoo! Launch. Autor :Todd Beaupre, Yahoo, Inc,USA Duración: |
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Título:Personalized Radio *How to create a social personalized radio service in 20 minutes. Autor: John McPherson, MyStrands, USA Duración: |
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Título: Content-based Music Recommendation . Autor: Paul Lamere, Sun Microsystems, Ind, USA Duración: |
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Título:
Student Session II *Promising students will explain their current research topics Autor :Justin Donaldson, Indiana University, USA Duración: |
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Título:
Student Session II |
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Título: Student Session II * Promising students will explain their current research topic Autor: Mori Kurokawa, keio Univesity, Japan Duración: |
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Título: Student Session II * Promising students will explain their current research topic Autor: Jolie Martin, Harvand University, USA Duración: |
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Título: Recommender Systems: Innovative Applications and New Directions *recommenders in Ambient Intelligence :Autorr: Prof. Anton Nijholt, Twente University, The Netherlands. Duración: |
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Título: :Recommender Systems: Innovative Applications and New Directions *Needs-based Recommendation: Challenges and Opportunities Autor: Francisco Martin, MyStrands, USA Duración: |
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Título: Round Table - A Road for Future Recommender Systems Research. *Participants will be chosen by the moderator based on the hot topics that arise during the sessions. :Moderator: Atakan Cetinsoy, MyStrands, USA Duración: |
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Título: Closing Remarks Speaker: Ana Aguirre, Basque Government Duración: |