The character of microblog environments raises challenges for microblog search because relevancy becomes one of the many aspects for ranking documents. We concentrate on merging multiple ranking strategies at post-retrieval time for the TREC Microblog task. We compare several state-of-the-art late data fusion methods, and present a new semi-supervised variant that accounts for microblog characteristics. Our experiments show the utility of late data fusion in microblog search, and that our method helps boost retrieval effectiveness. © 2013 Springer-Verlag.
CITATION STYLE
Liang, S., De Rijke, M., & Tsagkias, M. (2013). Late data fusion for microblog search. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7814 LNCS, pp. 743–746). https://doi.org/10.1007/978-3-642-36973-5_74
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