36 search results - page 1 / 8 » Learning Aggregation Functions for Expert Search |
ECAI
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Machine learning techniques are increasingly being applied to problems in the domain of information retrieval and text mining. In this paper we present an application of ...
EUROCOLT
1999
Springer
13 years 9 months ago
1999
Springer
We consider algorithms for combining advice from a set of experts. In each trial, the algorithm receives the predictions of the experts and produces its own prediction. A loss func...
ECIR
2011
Springer
12 years 8 months ago
2011
Springer
Aggregate ranking tasks are those where documents are not the final ranking outcome, but instead an intermediary component. For instance, in expert search, a ranking of candidate ...
CIKM
2008
Springer
13 years 7 months ago
2008
Springer
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
SIGIR
2011
ACM
12 years 7 months ago
2011
ACM
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...