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CIKM
2009
Springer
14 years 4 days ago
Collaborative filtering using random neighbours in peer-to-peer networks
Traditionally, collaborative filtering (CF) algorithms used for recommendation operate on complete knowledge. This makes these algorithms hard to employ in a decentralized contex...
Arno Bakker, Elth Ogston, Maarten van Steen
IJCAI
2003
13 years 7 months ago
Collaborative Filtering Using Associative Neural Memory
There are two types of collaborative filtering (CF) systems, user-based and item-based. This paper introduces an item-based CF system for ranking derived from Linear Associative ...
Chuck P. Lam
IPSN
2003
Springer
13 years 10 months ago
Detection, Classification, and Collaborative Tracking of Multiple Targets Using Video Sensors
The study of collaborative, distributed, real-time sensor networks is an emerging research area. Such networks are expected to play an essential role in a number of applications su...
Peshala V. Pahalawatta, Dejan Depalov, Thrasyvoulo...
SIGIR
2009
ACM
14 years 2 days ago
On social networks and collaborative recommendation
Social network systems, like last.fm, play a significant role in Web 2.0, containing large amounts of multimedia-enriched data that are enhanced both by explicit user-provided an...
Ioannis Konstas, Vassilios Stathopoulos, Joemon M....
SAC
2008
ACM
13 years 5 months ago
Whom should I trust?: the impact of key figures on cold start recommendations
Generating adequate recommendations for newcomers is a hard problem for a recommender system (RS) due to lack of detailed user profiles and social preference data. Empirical evide...
Patricia Victor, Chris Cornelis, Ankur Teredesai, ...