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CIKM
2001
Springer
14 years 1 months ago
Merging Techniques for Performing Data Fusion on the Web
Data fusion on the Web refers to the merging, into a unified single list, of the ranked document lists, which are retrieved in response to a user query by more than one Web search...
Theodora Tsikrika, Mounia Lalmas
GPEM
2006
117views more  GPEM 2006»
13 years 8 months ago
Introducing lateral thinking in search engines
Abstract. Too much information kills information. This common statement applies to huge databases, where state of the art search engines may retrieve hundreds of very similar docum...
Yann Landrin-Schweitzer, Pierre Collet, Evelyne Lu...
DEXAW
2008
IEEE
120views Database» more  DEXAW 2008»
14 years 3 months ago
Self-Similarity Metric for Index Pruning in Conceptual Vector Space Models
— One of the critical issues in search engines is the size of search indexes: as the number of documents handled by an engine increases, the search must preserve its efficiency,...
Dario Bonino, Fulvio Corno
CIKM
2011
Springer
12 years 8 months ago
Ranking-based processing of SQL queries
A growing number of applications are built on top of search engines and issue complex structured queries. This paper contributes a customisable ranking-based processing of such qu...
Hany Azzam, Thomas Roelleke, Sirvan Yahyaei
WSDM
2010
ACM
261views Data Mining» more  WSDM 2010»
14 years 6 months ago
Learning Similarity Metrics for Event Identification in Social Media
Social media sites (e.g., Flickr, YouTube, and Facebook) are a popular distribution outlet for users looking to share their experiences and interests on the Web. These sites host ...
Hila Becker, Mor Naaman, Luis Gravano