The ranked (or top-
- Home
- Search Results
- Page 1 of 1
Search for: All records
-
Total Resources1
- Resource Type
-
00000010000
- More
- Availability
-
10
- Author / Contributor
- Filter by Author / Creator
-
-
Shah, Rahul (1)
-
Sheng, Cheng (1)
-
Thankachan, Sharma (1)
-
Vitter, Jeffrey (1)
-
#Tyler Phillips, Kenneth E. (0)
-
#Willis, Ciara (0)
-
& Abreu-Ramos, E. D. (0)
-
& Abramson, C. I. (0)
-
& Abreu-Ramos, E. D. (0)
-
& Adams, S.G. (0)
-
& Ahmed, K. (0)
-
& Ahmed, Khadija. (0)
-
& Aina, D.K. Jr. (0)
-
& Akcil-Okan, O. (0)
-
& Akuom, D. (0)
-
& Aleven, V. (0)
-
& Andrews-Larson, C. (0)
-
& Archibald, J. (0)
-
& Arnett, N. (0)
-
& Arya, G. (0)
-
- Filter by Editor
-
-
& Spizer, S. M. (0)
-
& . Spizer, S. (0)
-
& Ahn, J. (0)
-
& Bateiha, S. (0)
-
& Bosch, N. (0)
-
& Brennan K. (0)
-
& Brennan, K. (0)
-
& Chen, B. (0)
-
& Chen, Bodong (0)
-
& Drown, S. (0)
-
& Ferretti, F. (0)
-
& Higgins, A. (0)
-
& J. Peters (0)
-
& Kali, Y. (0)
-
& Ruiz-Arias, P.M. (0)
-
& S. Spitzer (0)
-
& Sahin. I. (0)
-
& Spitzer, S. (0)
-
& Spitzer, S.M. (0)
-
(submitted - in Review for IEEE ICASSP-2024) (0)
-
-
Have feedback or suggestions for a way to improve these results?
!
Note: When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher.
Some full text articles may not yet be available without a charge during the embargo (administrative interval).
What is a DOI Number?
Some links on this page may take you to non-federal websites. Their policies may differ from this site.
-
k ) document retrieval problem is defined as follows: preprocess a collection{T1,T2,… ,Td} ofd strings (called documents) of total lengthn into a data structure, such that for any given query(P,k) , whereP is a string (called pattern) of lengthp ≥ 1 andk ∈ [1,d] is an integer, the identifiers of thosek documents that are most relevant toP can be reported, ideally in the sorted order of their relevance. The seminal work by Hon et al. [FOCS 2009 and Journal of the ACM 2014] presented anO(n) -space (in words) data structure withO(p+k logk) query time. The query time was later improved toO(p+k) [SODA 2012] and further toO(p/ logσn+k) [SIAM Journal on Computing 2017] by Navarro and Nekrich, whereσ is the alphabet size. We revisit this problem in the external memory model and present three data structures. The first one takesO(n) -space and answer queries inO(p/B + logBn + k/B+ log*(n/B) ) I/Os, whereB is the block size. The second one takesO(n log*(n/B) ) space and answer queries in optimalO(p/B + logBn + k/B) I/Os. In both cases, the answers are reported in the unsorted order of relevance. To handle sorted top-k document retrieval, we present anO(n log(d/B)) space data structure with optimal query cost.