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RECSYS
2009
ACM
16 years 28 days ago
Preference elicitation with subjective features
Utility or preference elicitation is a critical component in many recommender and decision support systems. However, most frameworks for elicitation assume a predefined set of fe...
Craig Boutilier, Kevin Regan, Paolo Viappiani
SPIRE
2009
Springer
16 years 29 days ago
Sketching Algorithms for Approximating Rank Correlations in Collaborative Filtering Systems
Collaborative filtering (CF) shares information between users to provide each with recommendations. Previous work suggests using sketching techniques to handle massive data sets i...
Yoram Bachrach, Ralf Herbrich, Ely Porat
AISADM
2005
Springer
15 years 12 months ago
Execution Engine of Meta-learning System for KDD in Multi-agent Environment
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
Ping Luo, Qing He, Rui Huang, Fen Lin, Zhongzhi Sh...
HICSS
2005
IEEE
120views Biometrics» more  HICSS 2005»
16 years 1 days ago
Learning from Project Experiences Using a Legacy-Based Approach
As project teams become used more widely, the question of how to capitalize on the knowledge learned in these teams remains an open issue. Using previous research on transactive m...
Lynne P. Cooper, Ann Majchrzak, Samer Faraj
TAMODIA
2008
15 years 7 months ago
Involving End Users in Distributed Requirements Engineering
Active involvement of end users in the development of interactive systems is both highly recommended and highly challenging. This is particularly true in settings where the require...
Steffen Lohmann, Jürgen Ziegler, Philipp Heim