Abstract
Web search engines are optimized for early precision, which makes it difficult to perform recall-oriented tasks using these search engines. In this article, we present our tool Needle Custom Search. This tool exploits semantic annotations of Web search results and, thereby, increase the efficiency of recall-oriented search tasks. Semantic annotations, such as temporal annotations, named entities, and part-of-speech tags are used to rerank and cluster search result sets.
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Kaptein, R., Koot, G., Veld, M.A.A.H.i.’., van den Broek, E.L. (2014). Needle Custom Search. In: de Rijke, M., et al. Advances in Information Retrieval. ECIR 2014. Lecture Notes in Computer Science, vol 8416. Springer, Cham. https://doi.org/10.1007/978-3-319-06028-6_88
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DOI: https://doi.org/10.1007/978-3-319-06028-6_88
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