Discovery Early Career Researcher Award - Grant ID: DE140100275

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE140100275

Funding Status
Closed

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Funded Activity Summary

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.

Funded Activity Details

Start Date: 01-01-2014

End Date: 31-12-2016

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $392,979.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Library and Information Studies | Information Retrieval and Web Search | Data Structures

ANZSRC Socio-Economic Objective (SEO)

Application Software Packages (excl. Computer Games) | Electronic Information Storage and Retrieval Services |

Other Keywords

Application Software Packages (excl. Computer Games) | Data Structures | Electronic Information Storage and Retrieval Services | Information Retrieval and Web Search | Library and Information Studies

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