TY - JOUR AU - Thompson, Paul AU - Madan, Juliette C. AU - Moore, Jason H. PY - 2015 DA - 2015/09/10 TI - Prediction of relevant biomedical documents: a human microbiome case study JO - BioData Mining SP - 28 VL - 8 IS - 1 AB - Retrieving relevant biomedical literature has become increasingly difficult due to the large volume and rapid growth of biomedical publication. A query to a biomedical retrieval system often retrieves hundreds of results. Since the searcher will not likely consider all of these documents, ranking the documents is important. Ranking by recency, as PubMed does, takes into account only one factor indicating potential relevance. This study explores the use of the searcher’s relevance feedback judgments to support relevance ranking based on features more general than recency. SN - 1756-0381 UR - https://doi.org/10.1186/s13040-015-0061-5 DO - 10.1186/s13040-015-0061-5 ID - Thompson2015 ER -