Personalisation of d'Hondt's algorithm and its use in recommender ecosystems
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866916283110391808 |
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| author | Balcar, Stepan Peska, Ladislav Vojtas, Peter |
| author_facet | Balcar, Stepan Peska, Ladislav Vojtas, Peter |
| contents | In the area of recommender systems, we are dealing with aggregations and potential of personalisation in ecosystems. Personalisation is based on separate aggregation models for each user. This approach reveals differences in user preferences, especially when they are in strict disagreement with global preferences. Hybrid models are based on combination of global and personalised model of weights for d'Hondt's voting algorithm. This paper shows that personalisation combined with hybridisation on case-by-case basis outperforms non-personalised d'Hondt's algorithm on datasets RetailRocket and SLANTour. By taking into account voices of minorities we achieved better click through rate. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_07264 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Personalisation of d'Hondt's algorithm and its use in recommender ecosystems Balcar, Stepan Peska, Ladislav Vojtas, Peter Human-Computer Interaction In the area of recommender systems, we are dealing with aggregations and potential of personalisation in ecosystems. Personalisation is based on separate aggregation models for each user. This approach reveals differences in user preferences, especially when they are in strict disagreement with global preferences. Hybrid models are based on combination of global and personalised model of weights for d'Hondt's voting algorithm. This paper shows that personalisation combined with hybridisation on case-by-case basis outperforms non-personalised d'Hondt's algorithm on datasets RetailRocket and SLANTour. By taking into account voices of minorities we achieved better click through rate. |
| title | Personalisation of d'Hondt's algorithm and its use in recommender ecosystems |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2406.07264 |