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» Preference Networks: Probabilistic Models for Recommendation...
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WWW
2010
ACM
14 years 2 months ago
Factorizing personalized Markov chains for next-basket recommendation
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
Steffen Rendle, Christoph Freudenthaler, Lars Schm...
ETFA
2008
IEEE
14 years 2 months ago
Reactivity analysis of different Networked Automation System architectures
The reactivity of Networked Automation Systems (NAS) has direct influence on safety and quality aspects. It can be determined by a response time analysis, which itself can be calc...
Jürgen Greifeneder, Georg Frey
CAISE
2011
Springer
12 years 11 months ago
Supporting Dynamic, People-Driven Processes through Self-learning of Message Flows
Abstract. Flexibility and automatic learning are key aspects to support users in dynamic business environments such as value chains across SMEs or when organizing a large event. Pr...
Christoph Dorn, Schahram Dustdar
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 8 months ago
Complete This Puzzle: A Connectionist Approach to Accurate Web Recommendations Based on a Committee of Predictors
Abstract. We present a Context Ultra-Sensitive Approach based on two-step Recommender systems (CUSA-2step-Rec). Our approach relies on a committee of profile-specific neural networ...
Olfa Nasraoui, Mrudula Pavuluri
EUROSSC
2006
Springer
13 years 11 months ago
Dynamic Bayesian Networks for Visual Surveillance with Distributed Cameras
Abstract. This paper presents a surveillance system for tracking multiple people through a wide area with sparsely distributed cameras. The computational core of the system is an a...
Wojciech Zajdel, Ali Taylan Cemgil, Ben J. A. Kr&o...