TASTIER: Efficient Auto-Completion, Type-Ahead Search

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TASTIER is a joint research project between Tsinghua University and UC Irvine. It focuses on efficient autocompletion, type-ahead search on large data sets of various types, such as relational data, documents, semi-structured data. "TASTIER" stands for type-ahead search techniques in large data sets.




Acknowledgements: This project is partly supported by the National Natural Science Foundation of China under Grant No. 60873065, the National High Technology Development 863 Program of China under Grant No. 2007AA01Z152, the US NSF award No. IIS-0742960, and a Google Research Award.