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» Modeling search engine effectiveness for federated search
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SIGIR
2012
ACM
13 years 9 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...
WEBI
2009
Springer
16 years 1 months ago
From "Dango" to "Japanese Cakes": Query Reformulation Models and Patterns
Understanding query reformulation patterns is a key step towards next generation web search engines: it can help improving users’ web-search experience by predicting their inten...
Paolo Boldi, Francesco Bonchi, Carlos Castillo, Se...
SIGIR
2002
ACM
15 years 6 months ago
The web retrieval task and its evaluation in the third NTCIR workshop
This paper gives an overview of the evaluation method used for the Web Retrieval Task in the Third NTCIR Workshop, which is currently in progress. In the Web Retrieval Task, we tr...
Koji Eguchi, Keizo Oyama, Emi Ishida, Kazuko Kuriy...
ISAAC
2003
Springer
104views Algorithms» more  ISAAC 2003»
15 years 11 months ago
Deterministic Algorithm for the t-Threshold Set Problem
Given k sorted arrays, the t-Threshold problem, which is motivated by indexed search engines, consists of finding the elements which are present in at least t of the arrays. We pr...
Jérémy Barbay, Claire Kenyon
SIGIR
2005
ACM
16 years 9 hour ago
Modeling task-genre relationships for IR in the workplace
Context influences the search process, but to date research has not definitively identified which aspects of context are the most influential for information retrieval, and thus a...
Luanne Freund, Elaine G. Toms, Charles L. A. Clark...