Efficient fuzzy type-ahead search in TASTIER

TASTIER is a research project on the new information-access paradigm called type-ahead search, in which systems find answers to a keyword query on-the-fly as users type in the query. In this paper we study how to support fuzzy type-ahead search in TASTIER. Supporting fuzzy search is important when users have limited knowledge about the exact representation of the entities they are looking for, such as people records in an online directory. We have developed and deployed several such systems, some of which have been used by many people on a daily basis. The systems received overwhelmingly positive feedbacks from users due to their friendly interfaces with the fuzzy-search feature. We describe the design and implementation of the systems, and demonstrate several such systems. We show that our efficient techniques can indeed allow this search paradigm to scale on large amounts of data.

• Type: Conference
• Year: 2010
• Where: ICDE
• Authors: Guoliang Li, Shengyue Ji, Chen Li, Jiannan Wang, Jianhua Feng
• Keywords: Database, Fuzzy Search, Fuzzy Type-ahead Search, ICDE 2010, Type-ahead Search