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GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
14 years 2 months ago
Swarming to rank for information retrieval
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-...
CORR
2006
Springer
98views Education» more  CORR 2006»
13 years 7 months ago
Asynchronous iterative computations with Web information retrieval structures: The PageRank case
Giorgios Kollias, Efstratios Gallopoulos, Daniel B...
SIGIR
2011
ACM
12 years 10 months ago
Pseudo test collections for learning web search ranking functions
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
Nima Asadi, Donald Metzler, Tamer Elsayed, Jimmy L...
OTM
2009
Springer
14 years 2 months ago
A Framework for Decentralized, Context-Aware Mobile Applications Using Semantic Web Technology
The recent evolution in mobile devices, combined with rapid advancements in identification techniques, has lead to new opportunities for mobile application developers: mobile appli...
William Van Woensel, Sven Casteleyn, Olga De Troye...
CIKM
2006
Springer
13 years 11 months ago
A probabilistic relevance propagation model for hypertext retrieval
A major challenge in developing models for hypertext retrieval is to effectively combine content information with the link structure available in hypertext collections. Although s...
Azadeh Shakery, ChengXiang Zhai