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» Trust as a Key to Improving Recommendation Systems
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FC
2001
Springer
123views Cryptology» more  FC 2001»
13 years 12 months ago
Trust: A Collision of Paradigms
The technological challenges of securing networks are great, as recently witnessed in widespread denial of service and virus attacks. The human reaction to these attacks may be ei...
L. Jean Camp, Helen Nissenbaum, Cathleen McGrath
ICMB
2005
IEEE
136views Business» more  ICMB 2005»
14 years 1 months ago
Mobile Recommendation Systems for Decision Making "On the Go"
This paper discusses the functional and technological opportunities associated with mobile recommendation systems. These are systems that help a mobile user or a group of mobile u...
Hans van der Heijden, Gabriele Kotsis, Reinhard Kr...
ECWEB
2007
Springer
162views ECommerce» more  ECWEB 2007»
14 years 1 months ago
Impact of Relevance Measures on the Robustness and Accuracy of Collaborative Filtering
The open nature of collaborative recommender systems present a security problem. Attackers that cannot be readily distinguished from ordinary users may inject biased profiles, deg...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
GFKL
2005
Springer
114views Data Mining» more  GFKL 2005»
14 years 29 days ago
Attribute-aware Collaborative Filtering
One of the key challenges in large information systems such as online shops and digital libraries is to discover the relevant knowledge from the enormous volume of information. Rec...
Karen H. L. Tso, Lars Schmidt-Thieme
BPM
2008
Springer
188views Business» more  BPM 2008»
13 years 9 months ago
Social Software for Modeling Business Processes
Abstract. The aim of this paper is to show how the use of social networks may help users to behave as modelers they trust. Users are guided in this respect within the context of an...
Agnes Koschmider, Minseok Song, Hajo A. Reijers