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WEBI
2005
Springer
13 years 9 months ago
A Novel Way of Computing Similarities between Nodes of a Graph, with Application to Collaborative Recommendation
This work presents a new perspective on characterizing the similarity between elements of a database or, more generally, nodes of a weighted, undirected, graph. It is based on a M...
François Fouss, Alain Pirotte, Marco Saeren...
ICDM
2006
IEEE
133views Data Mining» more  ICDM 2006»
13 years 10 months ago
An Experimental Investigation of Graph Kernels on a Collaborative Recommendation Task
This work presents a systematic comparison between seven kernels (or similarity matrices) on a graph, namely the exponential diffusion kernel, the Laplacian diffusion kernel, the ...
François Fouss, Luh Yen, Alain Pirotte, Mar...
SIGIR
2009
ACM
13 years 10 months 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....
ISMIR
2005
Springer
206views Music» more  ISMIR 2005»
13 years 9 months ago
Improving Content-Based Similarity Measures by Training a Collaborative Model
We observed that for multimedia data – especially music - collaborative similarity measures perform much better than similarity measures derived from content-based sound feature...
Richard Stenzel, Thomas Kamps
VISUALIZATION
1999
IEEE
13 years 8 months ago
Image Graphs - A Novel Approach to Visual Data Exploration
For types of data visualization where the cost of producing images is high, and the relationship between the rendering parameters and the image produced is less than obvious, a vi...
Kwan-Liu Ma