Large-scale cluster-based retrieval experiments on Turkish texts

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2007-11-30

Author

Altıngövde, İsmail Sengör
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

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Department of Computer Engineering, Conference / Seminar

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Citation Formats

İ. S. Altıngövde, 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.