Abstract
We propose a retrieval model for searching microblog posts for a given topic of interest. We develop a language modeling approach tailored to microblogging characteristics, where redundancy-based IR methods cannot be used in a straightforward manner. We enhance this model with two groups of quality indicators: textual and microblog specific. Additionally, we propose a dynamic query expansion model for microblog post retrieval. Experimental results on Twitter data reveal the usefulness of boolean search, and demonstrate the utility of quality indicators and query expansion in microblog search.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Balog, K., Weerkamp, W., de Rijke, M.: A few examples go a long way: Constructing query models from elaborate query formulations. In: SIGIR 2008 (2008)
Cha, M., Haddadi, H., Benevenuto, F., Gummadi, K.P.: Measuring user influence in Twitter: The million follower fallacy. In: ICWSM 2010 (2010)
Dong, A., Zhang, R., Kolari, P., Bai, J., Diaz, F., Chang, Y., Zheng, Z., Zha, H.: Time is of the essence: improving recency ranking using Twitter data. In: WWW 2010 (2010)
Golovchinsky, G., Efron, M.: Making sense of twitter search. In: CHI 2010 (2010)
Huang, J., Thornton, K.M., Efthimiadis, E.N.: Conversational tagging in twitter. In: HT 2010 (2010)
Jansen, B.J., Zhang, M., Sobel, K., Chowdury, A.: Twitter power: Tweets as electronic word of mouth. J. Am. Soc. Inf. Sci. Technol. 60(11), 2169–2188 (2009)
Kwak, H., Lee, C., Park, H., Moon, S.: What is Twitter, a social network or a news media? In: WWW 2010 (2010)
Lavrenko, V., Croft, W.B.: Relevance based language models. In: SIGIR 2001 (2001)
Lee, C., Kwak, H., Park, H., Moon, S.: Finding influentials based on the temporal order of information adoption in twitter. In: WWW 2010 (2010)
O’Connor, B., Krieger, M., Ahn, D.: TweetMotif: Exploratory search and topic summarization for Twitter (2010)
Ounis, I., Macdonald, C., de Rijke, M., Mishne, G., Soboroff, I.: Overview of the TREC 2006 blog track. In: The Fifteenth Text REtrieval Conference (TREC 2006). NIST (2007)
Rubin, V.L., Liddy, E.D.: Assessing credibility of weblogs. In: AAAI-CAAW 2006 (2006)
Sakaki, T., Okazaki, M., Matsuo, Y.: Earthquake shakes twitter users: real-time event detection by social sensors. In: WWW 2010 (2010)
Tumasjan, A., Sprenger, T., Sandner, P., Welpe, I.: Predicting elections with twitter: What 140 characters reveal about political sentiment (2010)
Vieweg, S., Hughes, A.L., Starbird, K., Palen, L.: Microblogging during two natural hazards events: what twitter contribute to situational awareness. In: CHI 2010 (2010)
Weerkamp, W., de Rijke, M.: Credibility improves topical blog post retrieval. In: ACL 2008:HLT (June 2008)
Zhai, C., Lafferty, J.: A study of smoothing methods for language models applied to information retrieval. ACM Trans. Inf. Syst. 22(2), 179–214 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Massoudi, K., Tsagkias, M., de Rijke, M., Weerkamp, W. (2011). Incorporating Query Expansion and Quality Indicators in Searching Microblog Posts. In: Clough, P., et al. Advances in Information Retrieval. ECIR 2011. Lecture Notes in Computer Science, vol 6611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20161-5_36
Download citation
DOI: https://doi.org/10.1007/978-3-642-20161-5_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20160-8
Online ISBN: 978-3-642-20161-5
eBook Packages: Computer ScienceComputer Science (R0)