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- research-articleOctober 2012
Learning to rank duplicate bug reports
CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge managementPages 852–861https://doi.org/10.1145/2396761.2396869For a large and complex software system, the project team could receive a large number of bug reports. Some bug reports could be duplicates as they essentially report the same problem. It is often tedious and costly to manually check if a newly reported ...
- ArticleOctober 2010
Clustering Web Retrieval Results Accompanied by Removing Duplicate Documents
WISM '10: Proceedings of the 2010 International Conference on Web Information Systems and Mining - Volume 01Pages 259–261https://doi.org/10.1109/WISM.2010.115Since keyword-based search engine usually return large amount of results in which there are many unrelated documents and many documents with same content, automatic clustering technology is used to classify the retrieval results. While there are large ...
- ArticleNovember 2002
Detecting similar documents using salient terms
CIKM '02: Proceedings of the eleventh international conference on Information and knowledge managementPages 245–251https://doi.org/10.1145/584792.584835We describe a system for rapidly determining document similarity among a set of documents obtained from an information retrieval (IR) system. We obtain a ranked list of the most important terms in each document using a rapid phrase recognizer system. We ...