Querying Users as Oracles in Tag Engines for Personalized Image Tagging

10.1109/MMUL.2017.27

Saved in:
Bibliographic Details
Main Authors: Nwana A.O., Chen T.
Other Authors: OFFICE OF THE PROVOST
Format: Article
Published: IEEE Computer Society 2018
Subjects:
L2R
Online Access:http://scholarbank.nus.edu.sg/handle/10635/146064
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
id sg-nus-scholar.10635-146064
record_format dspace
spelling sg-nus-scholar.10635-1460642024-04-17T08:57:55Z Querying Users as Oracles in Tag Engines for Personalized Image Tagging Nwana A.O. Chen T. OFFICE OF THE PROVOST DEPARTMENT OF COMPUTER SCIENCE data analysis graphics image tagging implicit feedback intelligent systems L2R learning to rank multimedia personalization semisupervised learning SVM-rank user behavior 10.1109/MMUL.2017.27 IEEE Multimedia 24 2 66-75 IEMUE 2018-08-21T04:25:02Z 2018-08-21T04:25:02Z 2017 Article Nwana A.O., Chen T. (2017). Querying Users as Oracles in Tag Engines for Personalized Image Tagging. IEEE Multimedia 24 (2) : 66-75. ScholarBank@NUS Repository. https://doi.org/10.1109/MMUL.2017.27 1070986X http://scholarbank.nus.edu.sg/handle/10635/146064 IEEE Computer Society Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic data analysis
graphics
image tagging
implicit feedback
intelligent systems
L2R
learning to rank
multimedia
personalization
semisupervised learning
SVM-rank
user behavior
spellingShingle data analysis
graphics
image tagging
implicit feedback
intelligent systems
L2R
learning to rank
multimedia
personalization
semisupervised learning
SVM-rank
user behavior
Nwana A.O.
Chen T.
Querying Users as Oracles in Tag Engines for Personalized Image Tagging
description 10.1109/MMUL.2017.27
author2 OFFICE OF THE PROVOST
author_facet OFFICE OF THE PROVOST
Nwana A.O.
Chen T.
format Article
author Nwana A.O.
Chen T.
author_sort Nwana A.O.
title Querying Users as Oracles in Tag Engines for Personalized Image Tagging
title_short Querying Users as Oracles in Tag Engines for Personalized Image Tagging
title_full Querying Users as Oracles in Tag Engines for Personalized Image Tagging
title_fullStr Querying Users as Oracles in Tag Engines for Personalized Image Tagging
title_full_unstemmed Querying Users as Oracles in Tag Engines for Personalized Image Tagging
title_sort querying users as oracles in tag engines for personalized image tagging
publisher IEEE Computer Society
publishDate 2018
url http://scholarbank.nus.edu.sg/handle/10635/146064
_version_ 1800913370973470720