| dc.contributor.author | Luo, Cheng | |
| dc.contributor.author | Pang, Wei | |
| dc.contributor.author | Wang, Zhe | |
| dc.contributor.author | Lin, Chenghua | |
| dc.contributor.editor | Kumar, Ravi | |
| dc.contributor.editor | Toivonen, Hannu | |
| dc.contributor.editor | Pei, Jian | |
| dc.contributor.editor | Huang, Joshua Zhexue | |
| dc.contributor.editor | Wu, Xindong | |
| dc.date.accessioned | 2015-03-04T14:23:01Z | |
| dc.date.available | 2015-03-04T14:23:01Z | |
| dc.date.issued | 2014-12-24 | |
| dc.identifier.citation | Luo , C , Pang , W , Wang , Z & Lin , C 2014 , Hete-CF : Social-Based Collaborative Filtering Recommendation using Heterogeneous Relations . in R Kumar , H Toivonen , J Pei , J Z Huang & X Wu (eds) , 2014 IEEE International Conference on Data Mining . IEEE proceedings , IEEE Explore , pp. 917-922 , 14th IEEE International Conference on Data Mining , Shenzhen , China , 14/12/14 . https://doi.org/10.1109/ICDM.2014.64 | en |
| dc.identifier.citation | conference | en |
| dc.identifier.isbn | 9781479943012 | |
| dc.identifier.isbn | 9781479943036 | |
| dc.identifier.isbn | 9781479943029 | |
| dc.identifier.issn | 1550-4786 | |
| dc.identifier.other | PURE: 41744582 | |
| dc.identifier.other | PURE UUID: 152d9148-8ce2-4cbf-884e-e61b3dcf61c7 | |
| dc.identifier.other | ArXiv: http://arxiv.org/abs/1412.7610v1 | |
| dc.identifier.other | ArXiv: http://arxiv.org/abs/1412.7610v1 | |
| dc.identifier.other | ORCID: /0000-0002-1761-6659/work/59923262 | |
| dc.identifier.other | Scopus: 84936933247 | |
| dc.identifier.uri | http://hdl.handle.net/2164/4281 | |
| dc.identifier.uri | http://arxiv.org/abs/1412.7610 | en |
| dc.description | The work described here was funded by the National Natural Science Foundation of China (NSFC) under Grant No. 61373051; the National Science and Technology Pillar Program (Grant No.2013BAH07F05), the Key Laboratory for Symbolic Computation and Knowledge Engineering, Ministry of Education, China, and the UK Economic & Social Research Council (ESRC); award reference: ES/M001628/1. | en |
| dc.format.extent | 6 | |
| dc.language.iso | eng | |
| dc.publisher | IEEE Explore | |
| dc.relation.ispartof | 2014 IEEE International Conference on Data Mining | en |
| dc.relation.ispartofseries | IEEE proceedings | en |
| dc.rights | © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en |
| dc.subject | QA75 Electronic computers. Computer science | en |
| dc.subject | Economic and Social Research Council (ESRC) | en |
| dc.subject | ES/M001628/1 | en |
| dc.subject.lcc | QA75 | en |
| dc.title | Hete-CF : Social-Based Collaborative Filtering Recommendation using Heterogeneous Relations | en |
| dc.type | Conference item | en |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.description.version | Preprint | en |
| dc.identifier.doi | https://doi.org/10.1109/ICDM.2014.64 | |
| dc.identifier.url | http://arxiv.org/abs/1412.7610 | en |
