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ICDM
2007
IEEE
136views Data Mining» more  ICDM 2007»
15 years 6 months ago
Dynamic Micro Targeting: Fitness-Based Approach to Predicting Individual Preferences
It is crucial to segment customers intelligently in order to offer more targeted and personalized products and services. Traditionally, customer segmentation is achieved using sta...
Tianyi Jiang, Alexander Tuzhilin
CIA
2008
Springer
15 years 1 months ago
Modeling Dynamics of Relative Trust of Competitive Information Agents
In order for personal assistant agents in an ambient intelligence context to provide good recommendations, or pro-actively support humans in task allocation, a good model of what t...
Mark Hoogendoorn, S. Waqar Jaffry, Jan Treur
CHI
2006
ACM
16 years 7 days ago
groupTime: preference based group scheduling
As our business, academic, and personal lives continue to move at an ever-faster pace, finding times for busy people to meet has become an art. One of the most perplexing challeng...
Mike Brzozowski, Kendra Carattini, Scott R. Klemme...
SEBD
2003
154views Database» more  SEBD 2003»
15 years 1 months ago
Management of User Preferences in Data Intensive Applications
Abstract. The management of user preferences is becoming a fundamental ingredient of modern Web-based data-intensive applications, in which information filtering is crucial to red...
Riccardo Torlone, Paolo Ciaccia
KDD
2008
ACM
110views Data Mining» more  KDD 2008»
16 years 7 days ago
Mining preferences from superior and inferior examples
Mining user preferences plays a critical role in many important applications such as customer relationship management (CRM), product and service recommendation, and marketing camp...
Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, ...