Feed Distillation Using AdaBoost and Topic Maps

Wai-Lung Lee, Andreas Lommatzsch, Christian Scheel
2007 Text Retrieval Conference  
This paper retains the experiences by participating in TREC 2007 Blog Track 'Feed Distillation'. To perform the run various classifiers are combined, which analyze title-, content-and splog-specific features to predict the relevance of a feed related to a topic, based on the idea of AdaBoost. The implemented classifiers utilize keywords retrieved from different thesauri such as Wordnet and Wortschatz, as well as from websites providing hierarchical organized 'ontology' such as the 'Open
more » ... y Project' and Yahoo Directory. To structure the keywords, Topic Maps are utilized according to ISO/IEC 13250:2000.
dblp:conf/trec/LeeLS07 fatcat:3ej74pcbazcotpr53iqc7zc66a