2100 search results - page 15 / 420 » Learning to rank on graphs |
106
Voted
ECML
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. We propose a novel active learning strategy based on the compression framework of [9] for label ranking functions which, given an input instance, predict a total order ov...
115
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WWW
2006
ACM
16 years 2 months ago
2006
ACM
Since the publication of Brin and Page's paper on PageRank, many in the Web community have depended on PageRank for the static (query-independent) ordering of Web pages. We s...
129
Voted
SIAMDM
2010
15 years 6 days ago
2010
Abstract. We investigate the degree distribution resulting from graph generation models based on rank-based attachment. In rank-based attachment, all vertices are ranked according ...
132
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NIPS
2008
15 years 3 months ago
2008
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
110
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CIKM
2004
Springer
15 years 7 months ago
2004
Springer
Our work is motivated by the problem of ranking hyperlinked documents for a given query. Given an arbitrary directed graph with edge and node labels, we present a new flow-based ...