![Relevance feedback / Text Retrieval Conference / Relevance / Probabilistic relevance model / Precision and recall / Query expansion / Okapi BM25 / Learning to rank / Document retrieval / Information science / Information retrieval / Science Relevance feedback / Text Retrieval Conference / Relevance / Probabilistic relevance model / Precision and recall / Query expansion / Okapi BM25 / Learning to rank / Document retrieval / Information science / Information retrieval / Science](https://www.pdfsearch.io/img/7692f3b875c8dcde94633e71e3d7fc86.jpg) Date: 2014-07-18 10:50:18Relevance feedback Text Retrieval Conference Relevance Probabilistic relevance model Precision and recall Query expansion Okapi BM25 Learning to rank Document retrieval Information science Information retrieval Science | | Temporal Feedback for Tweet Search with Non-Parametric Density Estimation Miles Efron1 , Jimmy Lin2 , Jiyin He3 , and Arjen de Vries3 1 Graduate School of Library and Information Science, University of Illinois, Urbana-Add to Reading ListSource URL: www.umiacs.umd.eduDownload Document from Source Website File Size: 1,05 MBShare Document on Facebook
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