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RECSYS
2010
ACM
14 years 10 months ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street
88
Voted
RE
2005
Springer
15 years 3 months ago
Using Occurrence Properties of Defect Report Data to Improve Requirements
Defect reports generated for faults found during testing provide a rich source of information regarding problematic phrases used in requirements documents. These reports indicate ...
Kimberly S. Wasson, Kendra N. Schmid, Robyn R. Lut...
KDD
2006
ACM
122views Data Mining» more  KDD 2006»
15 years 10 months ago
Tensor-CUR decompositions for tensor-based data
Motivated by numerous applications in which the data may be modeled by a variable subscripted by three or more indices, we develop a tensor-based extension of the matrix CUR decom...
Michael W. Mahoney, Mauro Maggioni, Petros Drineas
COMPSEC
2004
131views more  COMPSEC 2004»
14 years 10 months ago
Biometric random number generators
Abstract Up to now biometric methods have been used in cryptography for authentication purposes. In this paper we propose to use biological data for generating sequences of random ...
Janusz Szczepanski, Elek Wajnryb, José M. A...
IAT
2008
IEEE
15 years 4 months ago
Discovering and Modelling Multiple Interests of Users in Collaborative Tagging Systems
We analyse data obtained from several collaborative tagging systems and discover that user interests can be very diverse. Traditional methods for representing interests of users a...
Ching-man Au Yeung, Nicholas Gibbins, Nigel Shadbo...