@article {IOPORT.05135495,
    author       = {Na, Seung-Hoon and Kang, In-Su and Roh, Ji-Eun and Lee, Jong-Hyeok},
    title        = {An empirical study of query expansion and cluster-based retrieval in language modeling approach.},
    year         = {2007},
    journal      = {Information Processing and Management},
    volume       = {43},
    number       = {2},
    issn         = {0306-4573},
    pages        = {302-314},
    publisher    = {Elsevier Science (Pergamon), Kidlington, Oxon},
    doi          = {10.1016/j.ipm.2006.07.003},
    abstract     = {Summary: The term mismatch problem in information retrieval is a critical problem, and several techniques have been developed, such as query expansion, cluster-based retrieval and dimensionality reduction to resolve this issue. Of these techniques, this paper performs an empirical study on query expansion and cluster-based retrieval. We examine the effect of using parsimony in query expansion and the effect of clustering algorithms in cluster-based retrieval. In addition, query expansion and cluster-based retrieval are compared, and their combinations are evaluated in terms of retrieval performance by performing experimentations on seven test collections of NTCIR and TREC.},
    identifier   = {05135495},
}