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Large-scale cluster-based retrieval experiments on Turkish texts
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Date
2007-11-30
Author
Altıngövde, İsmail Sengör
Ozcan, Rifat
Ocalan, Huseyin Cagdas
Can, Fazli
Ulusoy, Özgür
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We present cluster-based retrieval (CBR) experiments on the largest available Turkish document collection. Our experiments evaluate retrieval effectiveness and efficiency on both an automatically generated clustering structure and a manual classification of documents. In particular, we compare CBR effectiveness with full-text search (FS) and evaluate several implementation alternatives for CBR. Our findings reveal that CBR yields comparable effectiveness figures with FS. Furthermore, by using a specifically tailored cluster-skipping inverted index we significantly improve in-memory query processing efficiency of CBR in comparison to other traditional CBR techniques and even FS.
Subject Keywords
Cluster-based retrieval
,
Cluster-skipping
,
Inverted index
,
Turkish
URI
https://hdl.handle.net/11511/34457
DOI
https://doi.org/10.1145/1277741.1277961
Collections
Department of Computer Engineering, Conference / Seminar
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BibTeX
İ. S. Altıngövde, R. Ozcan, H. C. Ocalan, F. Can, and Ö. Ulusoy, “Large-scale cluster-based retrieval experiments on Turkish texts,” 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/34457.