NDLI: Efficient top-k retrieval with signatures

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Efficient top-k retrieval with signatures

Content Provider	ACM Digital Library
Author	Nguyen, Anthony Geva, Shlomo Zuccon, Guido Chappell, Timothy
Abstract	This paper describes a new method of indexing and searching large binary signature collections to efficiently find similar signatures, addressing the scalability problem in signature search. Signatures offer efficient computation with acceptable measure of similarity in numerous applications. However, performing a complete search with a given search argument (a signature) requires a Hamming distance calculation against every signature in the collection. This quickly becomes excessive when dealing with large collections, presenting issues of scalability that limit their applicability. Our method efficiently finds similar signatures in very large collections, trading memory use and precision for greatly improved search speed. Experimental results demonstrate that our approach is capable of finding a set of nearest signatures to a given search argument with a high degree of speed and fidelity.
Starting Page	10
Ending Page	17
Page Count	8
File Format	PDF
ISBN	9781450325240
DOI	10.1145/2537734.2537742
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-12-05
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Top-k Nearest neighbour Document signatures Hamming distance Locality-sensitive hashing Near-duplicate detection
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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