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This work revisits the age-old problem of balancing search precision and recall using the promising new approach of Selective Search which partitions the document collection into topic-based shards and searches a select few shards for any query. In prior work Selective Search has demonstrated strong search precision, however, this improvement has come at the cost of search recall. In this work, we test the hypothesis that improving the effectiveness of shard selection can better balance searchdblp:conf/simbig/ChuangK17 fatcat:7gckweeja5e6ta5tyim5paouuq