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dc.contributor.author | Tunali, Okan | es_ES |
dc.contributor.author | Tugrul Bayrak, Ahmet | es_ES |
dc.contributor.author | Sanchez-Anguix, Víctor | es_ES |
dc.contributor.author | Aydogan, Reyhan | es_ES |
dc.date.accessioned | 2023-02-01T11:32:43Z | |
dc.date.available | 2023-02-01T11:32:43Z | |
dc.date.issued | 2021-07-14 | es_ES |
dc.identifier.isbn | 978-1-4503-8351-6 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/191558 | |
dc.description.abstract | [EN] Product bundling is a strategy conducted by marketing decisionmakers to combine items or services for targeted sales in today¿s competitive business environment. Targeted sales can be in various forms, like increasing the likelihood of a purchase, promoting some products among a specific customer segment, or improving user experience. In this study, we propose an evolutionary product bundle generation strategy that is based on the NSGA-II algorithm. The proposed approach is designed as a multi-objective optimization procedure where the objectives are designed in terms of desired bundle feature distributions. The designed genetic algorithm is flexible and allows decision-makers to specify objectives such as price, season, item similarity and association with bundle size constraints. In the experiments,we showthat the evolutionary approach enables us to generate Pareto solutions compared to the initial population. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | ACM | es_ES |
dc.relation.ispartof | GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Bundle generation | es_ES |
dc.subject | Evolutionary algorithms | es_ES |
dc.subject | Genetic algorithm | es_ES |
dc.subject | Multi-objective optimization | es_ES |
dc.subject | Decision support systems | es_ES |
dc.subject.classification | CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL | es_ES |
dc.title | Multi-objective evolutionary product bundling: a case study | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.identifier.doi | 10.1145/3449726.3463219 | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica | es_ES |
dc.description.bibliographicCitation | Tunali, O.; Tugrul Bayrak, A.; Sanchez-Anguix, V.; Aydogan, R. (2021). Multi-objective evolutionary product bundling: a case study. ACM. 1622-1629. https://doi.org/10.1145/3449726.3463219 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | Genetic and Evolutionary Computation Conference (GECCO 2021) | es_ES |
dc.relation.conferencedate | Julio 10-14,2021 | es_ES |
dc.relation.conferenceplace | Online | es_ES |
dc.relation.publisherversion | https://doi.org/10.1145/3449726.3463219 | es_ES |
dc.description.upvformatpinicio | 1622 | es_ES |
dc.description.upvformatpfin | 1629 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | S\442145 | es_ES |