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Toward a Robust data fusion for document retrieval
2008
2008 International Conference on Natural Language Processing and Knowledge Engineering
This paper describes an investigation of signal boosting techniques for post-search data fusion, where the quality of the retrieval results involved in fusion may be low or diverse. The effectiveness of data fusion techniques in such situation depends on the ability of the fusion techniques to be able to boost the signals from relevant documents and reduce the effect of noise that often comes from low quality retrieval results. Our studies on Malach spoken document collection and HARD
doi:10.1109/nlpke.2008.4906754
dblp:conf/nlpke/HeW08
fatcat:h5fdxxavkzdenjprbptdjlyfmu