46 search results - page 4 / 10 » Applying learning algorithms to preference elicitation |
CIKM
2011
Springer
12 years 5 months ago
2011
Springer
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
AND
2009
13 years 3 months ago
2009
In this paper we propose a new approach to capture the inclination towards a certain election candidate from the contents of blogs and to explain why that inclination may be so. T...
ICML
1997
IEEE
14 years 6 months ago
1997
IEEE
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorith...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...