Recommenders 06 - September 12th - Day 1

Título: Opening remarks   
Autor:Mauri Lazkano, R.L.de Mántaras, F.J.Martín
Duración: Ponencia (49 m 28'')

Título: What is a recommender System?          
Autor: Prof. Juntae Kim, Dongguk University, Korea
Duración: Ponencia (28m 36'')
Video Título: Open Issues in Recommender Systems
Autor :Prof. John Riedl, University of Minnesota, USA
Duración: Ponencia (29m '50'')
Video Título: Personalization & Recommender Systems
* Dynamic Personalization
Autor:Prof. Barry Smith, University College Dublin, Changing Worlds, Ltd, Ireland
Duración: Ponencia (29m '50'')
Video Título:Personalization & Recommender Systems
* Knowledge-based Recommender Technologies .
Autor: Dr. Alexander Felfernig, Klagenfurt University, Austria
Duración:Ponencia (30m 36'')
                          
Video Título:  Real-World Recommender Systems
* Anatomy of a Social Recommendation Engine .
Autor: Jim Shur, MyStrands, USA
Duración: Ponencia (30m 50'')
Título: Student Session I
* Promising students will explain their current research topic
Autor:
- Claudio Baccigalupo, IIIA-CSIC, Spain
-Ralf Jung, Saarland University, Germany
Duración: Ponencia (28m 36'')
Video

Título: Student Session I
* Promising students will explain their current research topic.
Autor:
- Maria Nunes, Universite Montpellier II, France
- Nava Tintarev, University of Aberdeen, UK
Duración: Ponencia (29m '50'')

Video Título: Evaluating Social Recommenders and Securing them Against (Malicious) Attacks * Secure Recommender Systems .
Autor: Dr. Bamshad Mobasher, DePaul University, USA
Duración:Ponencia (30m 36'')
                          
Video Título:  Evaluating Social Recommenders and Securing them Against (Malicious)* Evaluating User-generated Playlists and Machine-generated Recommendations
Autor: Jim Shur, MyStrands, USA
Duración: Ponencia (30m 50'')
Video Título: Round table .
:Moderator: Peyman Faratin, MIT, USA
Duración:Ponencia (30m 36'')
                          
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