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GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
15 years 5 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-...
AINA
2007
IEEE
15 years 4 months ago
Un-biasing the Link Farm Effect in PageRank Computation
Link analysis is a critical component of current Internet search engines' results ranking software, which determines the ordering of query results returned to the user. The o...
Arnon Rungsawang, Komthorn Puntumapon, Bundit Mana...
CLEF
2006
Springer
15 years 2 months ago
A Bag-of-Words Based Ranking Method for the Wikipedia Question Answering Task
This paper presents a simple approach to the Wikipedia Question Answering pilot task in CLEF 2006. The approach ranks the snippets, retrieved using the Lucene search engine, by mea...
Davide Buscaldi, Paolo Rosso
SIGIR
2002
ACM
14 years 10 months ago
Automatic evaluation of world wide web search services
Users of the World-Wide Web are not only confronted by an immense overabundance of information, but also by a plethora of tools for searching for the web pages that suit their inf...
Abdur Chowdhury, Ian Soboroff
SIGIR
2011
ACM
14 years 1 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...