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114
Voted
WWW
2006
ACM
16 years 4 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...
132
Voted
KDD
2005
ACM
145views Data Mining» more  KDD 2005»
16 years 4 months ago
Using and Learning Semantics in Frequent Subgraph Mining
The search for frequent subgraphs is becoming increasingly important in many application areas including Web mining and bioinformatics. Any use of graph structures in mining, howev...
Bettina Berendt
125
Voted
WSDM
2009
ACM
131views Data Mining» more  WSDM 2009»
15 years 10 months ago
Diversifying search results
We study the problem of answering ambiguous web queries in a setting where there exists a taxonomy of information, and that both queries and documents may belong to more than one ...
Rakesh Agrawal, Sreenivas Gollapudi, Alan Halverso...
189
Voted
HYPERTEXT
2009
ACM
16 years 24 days ago
A scalable, collaborative similarity measure for social annotation systems
Collaborative annotation tools are in widespread use. The metadata from these systems can be mined to induce semantic relationships among Web objects (sites, pages, tags, concepts...
Benjamin Markines, Filippo Menczer
138
Voted
SEMCO
2008
IEEE
15 years 10 months ago
SEMSOC: SEMantic, SOcial and Content-Based Clustering in Multimedia Collaborative Tagging Systems
A huge amount of data and metadata emerges from Web 2.0 applications which have transformed the Web to a mass social interaction and collaboration medium. Collaborative Tagging Sy...
Eirini Giannakidou, Ioannis Kompatsiaris, Athena V...