Compressing index files in information retrieval

Details Compressing index files in information retrieval Compressing index files in information retrieval

2006-04-11

2006-04-11

Rones, Charles (Department: 2164)

Data processing: database and file management or data structures

Database design

Data structure types

C707S793000, C707S793000

Reexamination Certificate

active

07028045

ABSTRACT:
There is provided a method for compressing an index file in an information retrieval system that retrieves information from a plurality of documents. Each of the plurality of documents has features occurring therein. Each of the features has parameters corresponding thereto. Parameter values corresponding to the parameters of the features are mapped into a plurality of bins. Bin identifiers are stored in the index file. Each of the bin identifiers identifies a bin to which is assigned at least one individual parameter value corresponding to at least one individual parameter.

REFERENCES:
patent: 5915249 (1999-06-01), Spencer
patent: 6704725 (2004-03-01), Lee
patent: 2002/0049760 (2002-04-01), Scott et al.
Robertson et al., “Okapi at TREC-3”, Proceedings of the Third Text REtrieval Conference (TREC-3). NIST Special Publication 500-226, ed. by D.K. Harman, pp. 109-126, 1995.
Witten et al., “Managing Gigabytes: Compressing and Indexing Documents and Images”, Van Nostrand Reinhold, ISBN: 0442018630, pp. 82-95, Jan. 1994.
Baeza-Yates et al., “Modern Information Retrieval”, ACM Pres. ISBN: 0-201-39829-X pp. 173-189. May 1999.

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