Scalable document hashing and retrieval

Chappell, Timothy A. (2015) Scalable document hashing and retrieval. PhD thesis, Queensland University of Technology.

Abstract

This thesis studies document signatures, which are small representations of documents and other objects that can be stored compactly and compared for similarity. This research finds that document signatures can be effectively and efficiently used to both search and understand relationships between documents in large collections, scalable enough to search a billion documents in a fraction of a second. Deliverables arising from the research include an investigation of the representational capacity of document signatures, the publication of an open-source signature search platform and an approach for scaling signature retrieval to operate efficiently on collections containing hundreds of millions of documents.

Impact and interest:

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Full-text downloads:

39 since deposited on 11 Jan 2016
39 in the past twelve months

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ID Code: 90044
Item Type: QUT Thesis (PhD)
Supervisor: Geva, Shlomo, Zuccon, Guido, Trotman, Andrew, Sitbon, Laurianne, & Nguyen, Anthony
Keywords: Information retrieval, Document signatures, Signature files, Relevance feedback, Superimposed coding, Locality-sensitive hashing, Topological signatures, Dimensionality reduction, Nearest-neighbour, Hamming distance problem
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 11 Jan 2016 00:09
Last Modified: 11 Jan 2016 00:11

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