Computer and Information Technology, International Conference on (2010)
Bradford, West Yorkshire, UK
June 29, 2010 to July 1, 2010
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIT.2010.135
In addition to the frequency of terms in a document collection, the spatial distribution of terms plays an important role in determining the relevance of documents. In this paper, a new approach for representing term positions in documents is presented. The approach allows us to efficiently apply term-positional information at query evaluation time. Two applications are investigated: a function-based ranking optimization representing a user-defined document region, and a query expansion technique based on overlapping the term distributions in the top-ranked documents. Experimental results demonstrate the effectiveness of the proposed approach.
information retrieval, term distribution, term position, ranking optimization, query expansion, Hilbert space
P. Galeas, R. Kretschmer and B. Freisleben, "Information Retrieval via Truncated Hilbert Space Expansions," 2010 IEEE 10th International Conference on Computer and Information Technology (CIT), Bradford, 2010, pp. 690-697.