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» Modeling Preferences in a Distributed Recommender System
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CAINE
2009
15 years 17 days ago
Clustering Customer Transactions: A Rough Set Based Approach
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...
Arunava Saha, Darsana Das, Dipanjan Karmakar, Dili...
191
Voted
CBSE
2011
Springer
14 years 2 months ago
Rectifying orphan components using group-failover in distributed real-time and embedded systems
Orphan requests are a significant problem for multi-tier distributed systems since they adversely impact system correctness by violating the exactly-once semantics of application...
Sumant Tambe, Aniruddha S. Gokhale
102
Voted
ATAL
2005
Springer
15 years 8 months ago
An information-based model for trust
In this paper we present a rich decision model for intelligent agents involved in multi issue negotiations. The model, grounded on information theory, takes into account the aspec...
Carles Sierra, John K. Debenham
AAAI
2004
15 years 4 months ago
Analogical Path Planning
We present a probabilistic method for path planning that considers trajectories constrained by both the environment and an ensemble of restrictions or preferences on preferred mot...
Saul Simhon, Gregory Dudek
114
Voted
HICSS
2009
IEEE
228views Biometrics» more  HICSS 2009»
15 years 9 months ago
Agents of Diffusion - Insights from a Survey of Facebook Users
In times of web 2.0 and its strong focus on user interaction in business models, entrepreneurs and investors of internet businesses often back up their ambitious growth expectatio...
Rebecca Ermecke, Philip Mayrhofer, Stefan Wagner