Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/13573| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Obadić, Ivica | en_US |
| dc.contributor.author | Madjarov, Gjorgji | en_US |
| dc.contributor.author | Dimitrovski, Ivica | en_US |
| dc.contributor.author | GJorgjevikj, Dejan | en_US |
| dc.date.accessioned | 2021-06-15T10:52:22Z | - |
| dc.date.available | 2021-06-15T10:52:22Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/13573 | - |
| dc.publisher | Springer International Publishing | en_US |
| dc.title | Addressing Item-Cold Start Problem in Recommendation Systems Using Model Based Approach and Deep Learning | en_US |
| dc.relation.conference | ICT Innovations 2017 | en_US |
| dc.identifier.doi | 10.1007/978-3-319-67597-8_17 | - |
| dc.identifier.url | http://link.springer.com/content/pdf/10.1007/978-3-319-67597-8_17 | - |
| item.grantfulltext | none | - |
| item.fulltext | No Fulltext | - |
| crisitem.author.dept | Faculty of Computer Science and Engineering | - |
| crisitem.author.dept | Faculty of Computer Science and Engineering | - |
| Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers | |
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