Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)

Towards the Next Generation of Recommender Systems

Authors
Alexander Tuzhilin
Corresponding Author
Alexander Tuzhilin
Available Online December 2010.
DOI
10.2991/icebi.2010.28How to use a DOI?
Abstract

The field of recommender systems has reached an important milestone in Fall 2009 when the $1,000,000 Netflix Prize Competition has successfully completed its course. Since then, there has been an attempt made in the recommender systems community to access what has been accomplished and identify new promising research directions that the field can pursue after passing that milestone. In this talk, I will provide my personal perspective on what I think new important and promising research directions in the field are. I will also describe some of my projects pertaining to these directions, including context-aware, flexible and aggregation-based recommender systems. 9? Atlantis Press, 2010

Copyright
© 2010, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)
Series
Advances in Intelligent Systems Research
Publication Date
December 2010
ISBN
10.2991/icebi.2010.28
ISSN
1951-6851
DOI
10.2991/icebi.2010.28How to use a DOI?
Copyright
© 2010, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Alexander Tuzhilin
PY  - 2010/12
DA  - 2010/12
TI  - Towards the Next Generation of Recommender Systems
BT  - Proceedings of the 1st International Conference on E-Business Intelligence (ICEBI 2010)
PB  - Atlantis Press
SP  - 184
EP  - 185
SN  - 1951-6851
UR  - https://doi.org/10.2991/icebi.2010.28
DO  - 10.2991/icebi.2010.28
ID  - Tuzhilin2010/12
ER  -