Layered evaluation for data discovery and recommendation systems: An initial set of principles
© 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 evaluati...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/3461 |
| _version_ | 1848744238603304960 |
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| author | Manouselis, N. Karagiannidis, C. Sampson, Demetrios |
| author_facet | Manouselis, N. Karagiannidis, C. Sampson, Demetrios |
| author_sort | Manouselis, N. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 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. |
| first_indexed | 2025-11-14T05:58:17Z |
| format | Conference Paper |
| id | curtin-20.500.11937-3461 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T05:58:17Z |
| publishDate | 2014 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-34612017-09-13T14:44:37Z Layered evaluation for data discovery and recommendation systems: An initial set of principles Manouselis, N. Karagiannidis, C. Sampson, Demetrios © 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. 2014 Conference Paper http://hdl.handle.net/20.500.11937/3461 10.1109/ICALT.2014.152 Institute of Electrical and Electronics Engineers Inc. restricted |
| spellingShingle | Manouselis, N. Karagiannidis, C. Sampson, Demetrios Layered evaluation for data discovery and recommendation systems: An initial set of principles |
| title | Layered evaluation for data discovery and recommendation systems: An initial set of principles |
| title_full | Layered evaluation for data discovery and recommendation systems: An initial set of principles |
| title_fullStr | Layered evaluation for data discovery and recommendation systems: An initial set of principles |
| title_full_unstemmed | Layered evaluation for data discovery and recommendation systems: An initial set of principles |
| title_short | Layered evaluation for data discovery and recommendation systems: An initial set of principles |
| title_sort | layered evaluation for data discovery and recommendation systems: an initial set of principles |
| url | http://hdl.handle.net/20.500.11937/3461 |