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» Implicit User Modelling Using Hybrid Meta-Heuristics
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EPIA
2009
Springer
13 years 11 months ago
Item-Based and User-Based Incremental Collaborative Filtering for Web Recommendations
Abstract. In this paper we propose an incremental item-based collaborative filtering algorithm. It works with binary ratings (sometimes also called implicit ratings), as it is typi...
Catarina Miranda, Alípio Mário Jorge
SIGMETRICS
2008
ACM
131views Hardware» more  SIGMETRICS 2008»
13 years 7 months ago
On the design of hybrid peer-to-peer systems
In this paper, we consider hybrid peer-to-peer systems where users form an unstructured peer-to-peer network with the purpose of assisting a server in the distribution of data. We...
Stratis Ioannidis, Peter Marbach
AMKM
2003
Springer
14 years 29 days ago
Discovering, Visualizing, and Sharing Knowledge through Personalized Learning Knowledge Maps
This paper presents an agent-based approach to semantic exploration and knowledge discovery in large information spaces by means of capturing, visualizing and making usable implic...
Jasminko Novak, Michael Wurst, Monika Fleischmann,...
CCIA
2005
Springer
14 years 1 months ago
Acquiring Unobtrusive Relevance Feedback through Eye-Tracking in Ambient Recommender Systems
Acquiring relevant information to keep user’s preferences up-to-date is crucial in recommender systems in order to close the cycle of recommendations. Ambient Intelligence is a s...
Gustavo González, Beatriz López, Cec...
CGI
2006
IEEE
14 years 1 months ago
Sketch Based Mesh Fusion
The modelling method for creating 3D models in an intuitive way is far from satisfactory. In this paper, we develop a novel mesh fusion method controlled by sketches, which allows...
Juncong Lin, Xiaogang Jin, Charlie C. L. Wang