IEEE - Institute of Electrical and Electronics Engineers, Inc. - Non-myopic active learning for recommender systems based on Matrix Factorization

2011 IEEE International Conference on Information Reuse & Integration (IRI)

Author(s): Karimi, R. ; Freudenthaler, C. ; Nanopoulos, A. ; Schmidt-Thieme, L.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 August 2011
Conference Location: Las Vegas, NV, USA, USA
Conference Date: 3 August 2011
Page(s): 299 - 303
ISBN (Electronic): 978-1-4577-0966-1
ISBN (Paper): 978-1-4577-0964-7
ISBN (Online): 978-1-4577-0965-4
DOI: 10.1109/IRI.2011.6009563
Regular:

Recommender systems help Web users to address information overload. However, their performance depends on the number of provided ratings by users. This problem is amplified for a new user because... View More

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