Collaborative Topic Ranking: Leveraging Item Meta-Data for Sparsity Reduction
Download
Full text for this resource is not available from the Research Repository.
Export
Yao, Weilong, He, Jing, Wang, Hua ORCID: 0000-0002-8465-0996, Zhang, Yanchun ORCID: 0000-0002-5094-5980 and Cao, Jie (2015) Collaborative Topic Ranking: Leveraging Item Meta-Data for Sparsity Reduction. In: Twenty-Ninth AAAI Conference on Artificial Intelligence, 25 January 2015-30 January 2015, Austin, Texas, USA.
Item type | Conference or Workshop Item (Paper) |
URI | https://vuir.vu.edu.au/id/eprint/31402 |
Official URL | http://www.aaai.org/Library/AAAI/aaai15contents.ph... |
ISBN | 0262511290 |
Subjects | Historical > FOR Classification > 0806 Information Systems Historical > FOR Classification > 0899 Other Information and Computing Sciences Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics Current > Division/Research > College of Science and Engineering |
Keywords | information filtering systems; pair-wise ranking; Bayesian framework; ISBN 0262511290 |
Citations in Scopus | 23 - View on Scopus |
Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)