Techniques for automatically correcting words in text
ACM Computing Surveys (CSUR)
The Wisdom of Crowds
Learning a spelling error model from search query logs
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
On multiword entity ranking in peer-to-peer search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Using the web for language independent spellchecking and autocorrection
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Mining Query Logs: Turning Search Usage Data into Knowledge
Foundations and Trends in Information Retrieval
Interactive and context-aware tag spell check and correction
Proceedings of the 21st ACM international conference on Information and knowledge management
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Exploiting the cumulative behavior of users is a common technique used to improve many popular online services. We build a tag spell checker using a graph-based model. In particular, we present a novel technique based on the graph of tags associated with objects made available by online sites such as Flickr and YouTube. We show the effectiveness of our approach on the basis of an experimentation done on real-world data. We show a precision of up to 93% with a recall (i.e., the number of errors detected) of up to 100%.