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poster

A probabilistic model for opinionated blog feed retrieval

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Published:28 March 2011Publication History

ABSTRACT

In this poster, we study the problem of Opinionated Blog Feed Retrieval which can be considered as a particular type of the faceted blog distillation introduced by TREC 2009. It is a task of finding blogs not only having a principle and recurring interest in a given topic but also having a clear inclination towards expressing opinions on it. We propose a novel probabilistic model for this task which combines its two factors, topical relevance and opinionatedness, in a unified probabilistic framework. Experiments conducted in the context of the TREC 2009 & 2010 Blog Track show the effectiveness of the proposed model.

References

  1. Elsas, J., Arguello, J., Callan, J., and Carbonell, J. 2008. Retrieval and feedback models for blog feed search, In Proceedings SIGIR 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. He, B., Macdonald, C., He, J., and Ounis, I. 2008. An effective statistical approach to blog post opinion retrieval. In Proceeding of CIKM '08. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Macdonald, C., Ounis, I., and Soboroff, I. 2010. Overview of the TREC-2009 Blog Track. In Proceedings of TREC 2009.Google ScholarGoogle Scholar
  4. TREC Blog track wiki. http://ir.dcs.gla.ac.uk/wiki/TREC-BLOG, 2010.Google ScholarGoogle Scholar

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  1. A probabilistic model for opinionated blog feed retrieval

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