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Extending autocompletion to tolerate errors
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International Conference on Management of Data archive
Proceedings of the 35th SIGMOD international conference on Management of data table of contents
Providence, Rhode Island, USA
SESSION: Research session 18: keyword search table of contents
Pages 707-718  
Year of Publication: 2009
ISBN:978-1-60558-551-2
Authors
Surajit Chaudhuri  Microsoft Corporation, Redmond, WA, USA
Raghav Kaushik  Microsoft Corporation, Redmond, WA, USA
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

Autocompletion is a useful feature when a user is doing a look up from a table of records. With every letter being typed, autocompletion displays strings that are present in the table containing as their prefix the search string typed so far. Just as there is a need for making the lookup operation tolerant to typing errors, we argue that autocompletion also needs to be error-tolerant. In this paper, we take a first step towards addressing this problem. We capture input typing errors via edit distance. We show that a naive approach of invoking an offline edit distance matching algorithm at each step performs poorly and present more efficient algorithms. Our empirical evaluation demonstrates the effectiveness of our algorithms.


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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Dblp. http://dblp.uni-trier.de/.
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G. Navarro, R. A. Baeza-Yates, E. Sutinen, and J. Tarhio. Indexing methods for approximate string matching. IEEE Data Eng. Bull., 24(4):19--27, 2001.
 
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Collaborative Colleagues:
Surajit Chaudhuri: colleagues
Raghav Kaushik: colleagues