Cheshire II at INEX'03: component and algorithm fusion for XML retrieval

2014 
This paper describes the retrieval approach that UC Berkeley used in the 2003 INEX evaluation. As in last year’s INEX, our primary approach is the combination of a probabilistic methods using a Logistic regression algorithm for estimation of document (article) relevance and/or element relevance, along with Boolean constraints. This year we also used data fusion techniques to combine results from multiple probabilistic retrieval algorithms and multiple search elements for any given query. All of our runs were fully automatic with no manual editing or interactive submission of queries.
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