Adelaide Research & Scholarship
Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/108870
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| Type: | Journal article |
| Title: | Jointly modeling content, social network and ratings for explainable and cold-start recommendation |
| Author: | Ji, K. Shen, H. |
| Citation: | Neurocomputing, 2016; 218:1-12 |
| Publisher: | Elsevier |
| Issue Date: | 2016 |
| ISSN: | 0925-2312 1872-8286 |
| Statement of Responsibility: | Ke Ji, Hong Shen |
| Abstract: | Abstract not available |
| Keywords: | Collaborative filtering; recommender systems explanation; cold start; tag-keyword |
| Rights: | © 2016 Elsevier B.V. All rights reserved. |
| DOI: | 10.1016/j.neucom.2016.03.070 |
| Grant ID: | http://purl.org/au-research/grants/arc/DP150104871 |
| Published version: | http://dx.doi.org/10.1016/j.neucom.2016.03.070 |
| Appears in Collections: | Aurora harvest 3 Computer Science publications |
Files in This Item:
| File | Description | Size | Format | |
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| RA_hdl_108870.pdf Restricted Access | Restricted Access | 3.05 MB | Adobe PDF | View/Open |
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