2100 search results - page 6 / 420 » Learning to rank on graphs |
83
Voted
ML
2008
ACM
14 years 9 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...
99
Voted
MIR
2006
ACM
15 years 3 months ago
2006
ACM
Automatic keyword annotation is a promising solution to enable more effective image search by using keywords. In this paper, we propose a novel automatic image annotation method b...
ILP
2003
Springer
15 years 2 months ago
2003
Springer
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
82
Voted
ACL
2008
14 years 11 months ago
2008
We present a novel approach to weakly supervised semantic class learning from the web, using a single powerful hyponym pattern combined with graph structures, which capture two pr...
100
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ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
In this paper we investigate two aspects of ranking problems on large graphs. First, we augment the deterministic pruning algorithm in Sarkar and Moore (2007) with sampling techni...