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.
展开▼
