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KDD
2007
ACM
192views Data Mining» more  KDD 2007»
16 years 6 months ago
Active exploration for learning rankings from clickthrough data
We address the task of learning rankings of documents from search engine logs of user behavior. Previous work on this problem has relied on passively collected clickthrough data. ...
Filip Radlinski, Thorsten Joachims
CIKM
2009
Springer
16 years 22 days ago
Relying on topic subsets for system ranking estimation
Ranking a number of retrieval systems according to their retrieval effectiveness without relying on costly relevance judgments was first explored by Soboroff et al [6]. Over th...
Claudia Hauff, Djoerd Hiemstra, Franciska de Jong,...
205
Voted
SIGIR
2012
ACM
13 years 8 months ago
Robust ranking models via risk-sensitive optimization
Many techniques for improving search result quality have been proposed. Typically, these techniques increase average effectiveness by devising advanced ranking features and/or by...
Lidan Wang, Paul N. Bennett, Kevyn Collins-Thompso...
CIKM
2009
Springer
16 years 22 days ago
Expected reciprocal rank for graded relevance
While numerous metrics for information retrieval are available in the case of binary relevance, there is only one commonly used metric for graded relevance, namely the Discounted ...
Olivier Chapelle, Donald Metlzer, Ya Zhang, Pierre...
WWW
2010
ACM
15 years 10 months ago
Time is of the essence: improving recency ranking using Twitter data
Realtime web search refers to the retrieval of very fresh content which is in high demand. An effective portal web search engine must support a variety of search needs, including ...
Anlei Dong, Ruiqiang Zhang, Pranam Kolari, Jing Ba...