Jitter Search: A News-Based Real-Time Twitter Search Interface
Conference paper
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Abstract
In this demo we show how we can enhance real-time microblog search by monitoring news sources on Twitter. We improve retrieval through query expansion using pseudo-relevance feedback. However, instead of doing feedback on the original corpus we use a separate Twitter news index. This allows the system to find additional terms associated with the original query to find more “interesting” posts.
Keywords
Query Expansion Twitter News Original User Query Top Fragment Account Creation Process
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.
Notes
Acknowledgments
This project was supported by FCT/MEC under the projects: GoLocal CMUP-ERI/TIC/0046/2014 and NOVA LINCS PEst UID/CEC/04516/2013.
References
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© Springer International Publishing Switzerland 2016