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Evaluating subtopic retrieval methods: Clustering versus diversification of search results
2012
Information Processing & Management
To address the inability of current ranking systems to support subtopic retrieval, two main post-processing techniques of search results have been investigated: clustering and diversification. In this paper we present a comparative study of their performance, using a set of complementary evaluation measures that can be applied to both partitions and ranked lists, and two specialized test collections focusing on broad and ambiguous queries, respectively. The main finding of our experiments is
doi:10.1016/j.ipm.2011.08.004
fatcat:dszwmvo2mjginbvmem4e4raq6u