Layered evaluation for data discovery and recommendation systems: An initial set of principles
| dc.contributor.author | Manouselis, N. | |
| dc.contributor.author | Karagiannidis, C. | |
| dc.contributor.author | Sampson, Demetrios | |
| dc.date.accessioned | 2017-01-30T10:31:31Z | |
| dc.date.available | 2017-01-30T10:31:31Z | |
| dc.date.created | 2015-11-04T20:00:34Z | |
| dc.date.issued | 2014 | |
| dc.identifier.citation | Manouselis, N. and Karagiannidis, C. and Sampson, D. 2014. Layered evaluation for data discovery and recommendation systems: An initial set of principles, in Proceedings of 2014 IEEE 14th International Conference on Advanced Learning Technologies (ICALT 2014), Jul 7-10 2014, pp. 518-519. Athens: Institute of Electrical and Electronics Engineers. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/3461 | |
| dc.identifier.doi | 10.1109/ICALT.2014.152 | |
| dc.description.abstract |
© 2014 IEEE. This paper examines how a layered evaluation framework proposed for adaptive systems (AS) can be applied in the case of recommender systems (RecSys). Our analysis indicates that implementing a layered-based evaluation has the potential to facilitate a more detailed and informed evaluation of RecSys, allowing researchers and developers to better understand how to improve them. | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.title | Layered evaluation for data discovery and recommendation systems: An initial set of principles | |
| dc.type | Conference Paper | |
| dcterms.source.startPage | 518 | |
| dcterms.source.endPage | 519 | |
| dcterms.source.title | Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014 | |
| dcterms.source.series | Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014 | |
| dcterms.source.isbn | 9781479940387 | |
| curtin.department | School of Education | |
| curtin.accessStatus | Fulltext not available |
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