ECIR 2011: Advances in Information Retrieval pp 362-367 | Cite as
Incorporating Query Expansion and Quality Indicators in Searching Microblog Posts
Conference paper
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
Quality Indicator Retrieval Model Query Expansion Mean Average Precision Twitter Data
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.
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