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SIGIR
2012
ACM
11 years 8 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
2006
ACM
13 years 11 months ago
Type less, find more: fast autocompletion search with a succinct index
We consider the following full-text search autocompletion feature. Imagine a user of a search engine typing a query. Then with every letter being typed, we would like an instant d...
Holger Bast, Ingmar Weber
SIGIR
2008
ACM
13 years 5 months ago
A simple and efficient sampling method for estimating AP and NDCG
We consider the problem of large scale retrieval evaluation. Recently two methods based on random sampling were proposed as a solution to the extensive effort required to judge te...
Emine Yilmaz, Evangelos Kanoulas, Javed A. Aslam
CLEF
2007
Springer
13 years 11 months ago
The University of Amsterdam's Question Answering System at QA@CLEF 2007
We describe a new version of our question answering system, which was applied to the questions of the 2007 CLEF Question Answering Dutch monolingual task. This year, we made three ...
Valentin Jijkoun, Katja Hofmann, David Ahn, Mahboo...
SIGIR
2010
ACM
13 years 5 months ago
Optimal meta search results clustering
By analogy with merging documents rankings, the outputs from multiple search results clustering algorithms can be combined into a single output. In this paper we study the feasibi...
Claudio Carpineto, Giovanni Romano