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STOC
2004
ACM
145views Algorithms» more  STOC 2004»
14 years 6 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
JSAC
2006
181views more  JSAC 2006»
13 years 5 months ago
Information theoretic framework of trust modeling and evaluation for ad hoc networks
Abstract-- The performance of ad hoc networks depends on cooperation and trust among distributed nodes. To enhance security in ad hoc networks, it is important to evaluate trustwor...
Yan Lindsay Sun, Wei Yu, Zhu Han, K. J. Ray Liu
ATAL
2005
Springer
13 years 11 months ago
A multiagent system manages collaboration in emergent processes
Emergent processes are non-routine, collaborative business processes whose execution is guided by the knowledge that emerges during a process instance. In so far as the process go...
John K. Debenham
LOCA
2005
Springer
13 years 11 months ago
Classifying the Mobility of Users and the Popularity of Access Points
Abstract. There is increasing interest in location-aware systems and applications. It is important for any designer of such systems and applications to understand the nature of use...
Minkyong Kim, David Kotz
SIGIR
2003
ACM
13 years 11 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann