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SIGIR
2010
ACM
13 years 11 months ago
Comparing click-through data to purchase decisions for retrieval evaluation
Traditional retrieval evaluation uses explicit relevance judgments which are expensive to collect. Relevance assessments inferred from implicit feedback such as click-through data...
Katja Hofmann, Bouke Huurnink, Marc Bron, Maarten ...
SIGIR
2008
ACM
13 years 7 months ago
Evaluation measures for preference judgments
There has been recent interest in collecting user or assessor preferences, rather than absolute judgments of relevance, for the evaluation or learning of ranking algorithms. Since...
Ben Carterette, Paul N. Bennett
SIGIR
2012
ACM
11 years 9 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
SIGIR
2002
ACM
13 years 7 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...
SIGIR
2004
ACM
14 years 24 days ago
Forming test collections with no system pooling
Forming test collection relevance judgments from the pooled output of multiple retrieval systems has become the standard process for creating resources such as the TREC, CLEF, and...
Mark Sanderson, Hideo Joho