Leveraging tagging and rating for recommendation: RMF meets weighted diffusion on tripartite graphs
Year
: 2017DOI: 10.1016/j.physa.2017.04.121
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Leveraging tagging and rating for recommendation: RMF meets weighted diffusion on tripartite graphs
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| contributor author | Jianguo Li | |
| contributor author | Yong Tang | |
| contributor author | Jiemin Chen | |
| date accessioned | 2020-03-15T11:45:47Z | |
| date available | 2020-03-15T11:45:47Z | |
| date issued | 2017 | |
| identifier other | gvTlCTcXXgF_xH2CQ4NC4ijVrjEmJrXHaynTuOqoEMbIHw7FqP.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1935153?locale-attribute=en | |
| format | general | |
| language | English | |
| title | Leveraging tagging and rating for recommendation: RMF meets weighted diffusion on tripartite graphs | |
| type | Journal Paper | |
| contenttype | Fulltext | |
| contenttype | Fulltext | |
| identifier padid | 13515015 | |
| identifier doi | 10.1016/j.physa.2017.04.121 | |
| journal title | Physica A: Statistical Mechanics and its Applications | |
| coverage | Academic | |
| pages | 398-411 | |
| journal volume | 483 | |
| filesize | 4937088 | |
| citations | 1 |