7 search results - page 1 / 2 » An Experimental Investigation of Graph Kernels on a Collabor... |
73
Voted
ICDM
2006
IEEE
15 years 4 months ago
2006
IEEE
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 ...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
Given a bipartite graph of collaborative ratings, the task of recommendation and rating prediction can be modeled with graph kernels. We interpret these graph kernels as the inver...
ML
2008
ACM
14 years 10 months ago
2008
ACM
Abstract. Collaborative filtering is a popular method for personalizing product recommendations. Maximum Margin Matrix Factorization (MMMF) has been proposed as one successful lear...
94
Voted
CSCW
2002
ACM
14 years 10 months ago
2002
ACM
Collaborative filtering has proven to be valuable for recommending items in many different domains. In this paper, we explore the use of collaborative filtering to recommend resea...
113
Voted
CORR
2010
Springer
14 years 10 months ago
2010
Springer
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...