dc.contributor.author | Osche, P.-E | en |
dc.contributor.author | Castagnos, Sylvain | en |
dc.contributor.author | Boyer, Anne | en |
dc.date.accessioned | 2019-04-07T08:01:41Z | |
dc.date.available | 2019-04-07T08:01:41Z | |
dc.date.issued | 2019-04-07 | |
dc.identifier.uri | http://hdl.handle.net/11400/20263 | |
dc.rights | Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.title | From Music to Museum: Applications of Multi-Objective Ant Colony Systems to Real World Problems | en |
heal.type | conferenceItem | |
heal.language | en | |
heal.access | free | |
heal.publicationDate | 2019 | |
heal.bibliographicCitation | Pierre-Edouard Osche, Sylvain Castagnos, Anne Boyer (2019), "From Music to Museum: Applications of Multi-Objective Ant Colony Systems to Real World Problems", 11th Workshop on Adaptive and Learning Agents (ALA 2019), in conjunction with the ACM International Conference on Autonomous Agents and Multiagent Systems AAMAS 2019. Montreal, Canada, May, 2019 | en |
heal.abstract | Recommender systems are a flourishing domain in computer science for almost 30 years now. This rising popularity follows closely the number of data collected all around the world. Each and every internet user produces a huge amount of content during his lifetime. Recommender systems proactively help users to navigate these pieces of information by gathering, and selecting the items to users' needs. In this paper, we discuss the possibility and interest of applying our Multi-Objective Ant Colony System called AntRS to recommend items in different application domains. In particular, we show how our model performs better than the state-of-the-art models with music dataset, and describe our work-in-progress with the museum of fine arts in Nancy (France). The motivation behind this change of application domain is the recommendation of progressive sequences rather than unordered lists of items. | en |
heal.sponsor | This publication is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 693150 | en |
heal.fullTextAvailability | false | |
heal.conferenceName | 11th Workshop on Adaptive and Learning Agents (ALA 2019), in conjunction with the ACM International Conference on Autonomous Agents and Multiagent Systems AAMAS 2019. Montreal, Canada, May, 2019 | en |
heal.conferenceItemType | full paper |
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