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: https://orcid.org/0000-0002-8465-0996, Zhang, Yanchun
ORCID: https://orcid.org/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)
Download
Download