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SIGECOM
1999
ACM
117views ECommerce» more  SIGECOM 1999»
14 years 2 months ago
Recommender systems in e-commerce
Recommender systems are changing from novelties used by a few E-commerce sites, to serious business tools that are re-shaping the world of E-commerce. Many of the largest commerce...
J. Ben Schafer, Joseph A. Konstan, John Riedl
AOIS
2004
13 years 11 months ago
Market-Based Recommender Systems: Learning Users' Interests by Quality Classification
Recommender systems are widely used to cope with the problem of information overload and, consequently, many recommendation methods have been developed. However, no one technique i...
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
RECSYS
2009
ACM
14 years 2 months ago
Acceptance issues of personality-based recommender systems
To understand users’ acceptance of the emerging trend of personality-based recommenders (PBR), we evaluated an existing PBR using the technology acceptance model (TAM). We also ...
Rong Hu, Pearl Pu
IH
2007
Springer
14 years 4 months ago
Soft Feature-Based Watermark Decoding with Insertion/Deletion Correction
Abstract. Hard decisions constitute the major problem in digital watermarking applications, especially when content adaptive embedding methods are used. Soft-decision decoding, on ...
Mathias Schlauweg, Dima Pröfrock, Erika M&uum...
ECWEB
2009
Springer
119views ECommerce» more  ECWEB 2009»
14 years 2 months ago
Designing a Metamodel-Based Recommender System
Current recommender systems have to cope with a certain reservation because they are considered to be hard to maintain and to give rather schematic advice. This paper presents an a...
Sven Radde, Bettina Zach, Burkhard Freitag