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Query-drift prevention for robust query expansion
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Annual ACM Conference on Research and Development in Information Retrieval archive
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval table of contents
Singapore, Singapore
POSTER SESSION: Posters group 4: theory and IR models table of contents
Pages 825-826  
Year of Publication: 2008
ISBN:978-1-60558-164-4
Authors
Liron Zighelnic  Technion - Israel Institute of Technology, Haifa, Israel
Oren Kurland  Technion - Israel Institute of Technology, Haifa, Israel
Sponsors
ACM: Association for Computing Machinery
SIGIR: ACM Special Interest Group on Information Retrieval
Publisher
ACM  New York, NY, USA
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ABSTRACT

Pseudo-feedback-based automatic query expansion yields effective retrieval performance on average, but results in performance inferior to that of using the original query for many information needs. We address an important cause of this robustness issue, namely, the query drift problem, by fusing the results retrieved in response to the original query and to its expanded form. Our approach posts performance that is significantly better than that of retrieval based only on the original query and more robust than that of retrieval using the expanded query.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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J. J. Rocchio. Relevance feedback in information retrieval. In G. Salton, editor, The SMART Retrieval System: Experiments in Automatic Document Processing, pages 313--323. Prentice Hall, 1971.
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Collaborative Colleagues:
Liron Zighelnic: colleagues
Oren Kurland: colleagues