Credibility improves topical blog post retrieval

Open Access
Authors
Publication date 2008
Book title ACL-08: HLT: 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: Proceedings of the conference
ISBN
  • 9781932432046
Event 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-08: HLT), Columbus, OH, USA
Pages (from-to) 923-931
Publisher Stroudsburg, PA: Association for Computational Linguistics (ACL)
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
Topical blog post retrieval is the task of ranking blog posts with respect to their relevance for a given topic. To improve topical blog post retrieval we incorporate textual credibility indicators in the retrieval process. We consider two groups of indicators: post level (determined using information about individual blog posts only) and blog level (determined using information from the underlying blogs). We describe how to estimate these indicators and how to integrate them into a retrieval approach based on language models. Experiments on the TREC Blog track test set show that both groups of credibility indicators significantly improve retrieval effectiveness; the best performance is achieved when combining them.
Document type Conference contribution
Note Copyright information: http://creativecommons.org/licenses/by-nc-sa/3.0/
Published at http://www.aclweb.org/anthology/P/P08/P08-1105
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