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» Learning to rank on graphs
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CIKM
2004
Springer
15 years 3 months ago
Local methods for estimating pagerank values
The Google search engine uses a method called PageRank, together with term-based and other ranking techniques, to order search results returned to the user. PageRank uses link ana...
Yen-Yu Chen, Qingqing Gan, Torsten Suel
AWIC
2011
Springer
14 years 1 months ago
DegExt - A Language-Independent Graph-Based Keyphrase Extractor
Abstract. In this paper, we introduce DegExt, a graph-based languageindependent keyphrase extractor,which extends the keyword extraction method described in [6]. We compare DegExt ...
Marina Litvak, Mark Last, Hen Aizenman, Inbal Gobi...
ICITA
2005
IEEE
15 years 3 months ago
Partition-Based Parallel PageRank Algorithm
A re-ranking technique,called “PageRank brings a successful story behind the search engine. Many studies focus on finding an way to compute the PageRank scores of a large web gr...
Arnon Rungsawang, Bundit Manaskasemsak
SIGIR
2009
ACM
15 years 4 months ago
Incorporating prior knowledge into a transductive ranking algorithm for multi-document summarization
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...
Massih-Reza Amini, Nicolas Usunier
WWW
2005
ACM
15 years 10 months ago
Object-level ranking: bringing order to Web objects
In contrast with the current Web search methods that essentially do document-level ranking and retrieval, we are exploring a new paradigm to enable Web search at the object level....
Zaiqing Nie, Yuanzhi Zhang, Ji-Rong Wen, Wei-Ying ...