Data-driven rank ordering - a preference-based comparison study
Data driven rank ordering refers to the rank ordering of new data items based on the ordering inherent in existing data items. This is a challenging problem, which has received increasing attention in recent years in the machine learning community. Its applications include product recommendation, in...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Springer
2011-04-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/2152.pdf |
| _version_ | 1818539125115977728 |
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| author | Maria Dobrska Hui Wang William Blackburn |
| author_facet | Maria Dobrska Hui Wang William Blackburn |
| author_sort | Maria Dobrska |
| collection | DOAJ |
| description | Data driven rank ordering refers to the rank ordering of new data items based on the ordering inherent in existing data items. This is a challenging problem, which has received increasing attention in recent years in the machine learning community. Its applications include product recommendation, information retrieval, financial portfolio construction, and robotics. It is common to construct ordering functions based on binary pairwise preferences. The level of dominance within pairs has been modelled in approaches based on statistical models, where strong assumptions about the distributions of the data are present. For learning pairwise preferences from the data we introduce a distribution-independent framework incorporating the level of dominance. We compare our approach with learning to rank order based on binary pairwise preferences through experiments using large margin classifiers. |
| first_indexed | 2024-12-11T21:37:55Z |
| format | Article |
| id | doaj.art-c365fb39b6c5491a980eca8ecd757271 |
| institution | Directory Open Access Journal |
| issn | 1875-6883 |
| language | English |
| last_indexed | 2024-12-11T21:37:55Z |
| publishDate | 2011-04-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj.art-c365fb39b6c5491a980eca8ecd7572712022-12-22T00:49:57ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832011-04-014210.2991/ijcis.2011.4.2.3Data-driven rank ordering - a preference-based comparison studyMaria DobrskaHui WangWilliam BlackburnData driven rank ordering refers to the rank ordering of new data items based on the ordering inherent in existing data items. This is a challenging problem, which has received increasing attention in recent years in the machine learning community. Its applications include product recommendation, information retrieval, financial portfolio construction, and robotics. It is common to construct ordering functions based on binary pairwise preferences. The level of dominance within pairs has been modelled in approaches based on statistical models, where strong assumptions about the distributions of the data are present. For learning pairwise preferences from the data we introduce a distribution-independent framework incorporating the level of dominance. We compare our approach with learning to rank order based on binary pairwise preferences through experiments using large margin classifiers.https://www.atlantis-press.com/article/2152.pdfrank orderingpreference learningpreference with level of dominance |
| spellingShingle | Maria Dobrska Hui Wang William Blackburn Data-driven rank ordering - a preference-based comparison study International Journal of Computational Intelligence Systems rank ordering preference learning preference with level of dominance |
| title | Data-driven rank ordering - a preference-based comparison study |
| title_full | Data-driven rank ordering - a preference-based comparison study |
| title_fullStr | Data-driven rank ordering - a preference-based comparison study |
| title_full_unstemmed | Data-driven rank ordering - a preference-based comparison study |
| title_short | Data-driven rank ordering - a preference-based comparison study |
| title_sort | data driven rank ordering a preference based comparison study |
| topic | rank ordering preference learning preference with level of dominance |
| url | https://www.atlantis-press.com/article/2152.pdf |
| work_keys_str_mv | AT mariadobrska datadrivenrankorderingapreferencebasedcomparisonstudy AT huiwang datadrivenrankorderingapreferencebasedcomparisonstudy AT williamblackburn datadrivenrankorderingapreferencebasedcomparisonstudy |