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WWW
2006
ACM
16 years 7 months ago
Site level noise removal for search engines
The currently booming search engine industry has determined many online organizations to attempt to artificially increase their ranking in order to attract more visitors to their ...
André Luiz da Costa Carvalho, Paul-Alexandr...
284
Voted
CIKM
2009
Springer
15 years 11 months ago
iMecho: an associative memory based desktop search system
Traditional desktop search engines only support keyword based search that needs exact keyword matching to find resources. However, users generally have a vague picture of what is...
Jidong Chen, Hang Guo, Wentao Wu, Wei Wang 0009
203
Voted
ICML
2004
IEEE
16 years 7 months ago
Semi-supervised learning using randomized mincuts
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
Avrim Blum, John D. Lafferty, Mugizi Robert Rweban...
213
Voted
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 7 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
211
Voted
SIGMOD
2004
ACM
162views Database» more  SIGMOD 2004»
16 years 7 months ago
Graph Indexing: A Frequent Structure-based Approach
Graph has become increasingly important in modelling complicated structures and schemaless data such as proteins, chemical compounds, and XML documents. Given a graph query, it is...
Xifeng Yan, Philip S. Yu, Jiawei Han