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EPEW
2005
Springer
15 years 4 months ago
Hypergraph Partitioning for Faster Parallel PageRank Computation
The PageRank algorithm is used by search engines such as Google to order web pages. It uses an iterative numerical method to compute the maximal eigenvector of a transition matrix ...
Jeremy T. Bradley, Douglas V. de Jager, William J....
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
15 years 11 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
DOCENG
2006
ACM
15 years 5 months ago
NEWPAR: an automatic feature selection and weighting schema for category ranking
Category ranking provides a way to classify plain text documents into a pre-determined set of categories. This work proposes to have a look at typical document collections and ana...
Fernando Ruiz-Rico, José Luis Vicedo Gonz&a...
DASFAA
2004
IEEE
123views Database» more  DASFAA 2004»
15 years 2 months ago
A Meta-search Method with Clustering and Term Correlation
A meta-search engine propagates user queries to its participant search engines following a server selection strategy. To facilitate server selection, the metasearch engine must ke...
Dyce Jing Zhao, Dik Lun Lee, Qiong Luo
ICDE
2009
IEEE
251views Database» more  ICDE 2009»
16 years 22 days ago
Contextual Ranking of Keywords Using Click Data
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...
Utku Irmak, Vadim von Brzeski, Reiner Kraft