Discovery Early Career Researcher Award - Grant ID: DE140100275 [ 2014-01-01 - 2016-12-31 ]

Research Grant

Researchers: Professor Shane Culpepper (Discovery Early Career Researcher Award) ,  Shane Culpepper (Discovery Early Career Researcher Award)

Brief description Beyond keyword search for ranked document retrieval. This project will develop novel approaches to efficient and effective ranked text retrieval using a new class of rank-aware algorithms derived from self-indexes. These algorithms can support complex statistical calculations on the fly. Efficient algorithm design for big data is an increasingly important problem as energy costs continue to soar and can now exceed hardware costs for big data consumers such as Google. In this project, two important problems in web search are explored: real-time indexing and long-form query answering. Using self-index algorithms, this project presents a road map to move beyond simple keyword-based ranked document retrieval, thus allowing us to efficiently meet more demanding information needs of users in the next decade.

Funding Amount $392,979

Funding Scheme Discovery Early Career Researcher Award

View this grant in the ARC Data Portal