Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/39864
Title: Learning features through feedback for blog distillation
Authors: Gao, D
Zhang, R
Li, W 
Lau, YK
Wong, KF
Keywords: Blog distillation
Faceted distillation
Feedback
Issue Date: 2011
Source: Proceedings of the 34th Annual International ACM SIGIR Conference , Beijing, China, July 24-28, 2011, p. 1085-1086 How to cite?
Abstract: The paper is focused on blogosphere research based on the TREC blog distillation task, and aims to explore unbiased and significant features automatically and efficiently. Feedback from faceted feeds is introduced to harvest relevant features and information gain is used to select discriminative features. The evaluation result shows that the selected feedback features can greatly improve the performance and adapt well to the terabyte data.
URI: http://hdl.handle.net/10397/39864
ISBN: 978-1-4503-0757-4
DOI: 10.1145/2009916.2010061
Appears in Collections:Conference Paper

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