ComplexRec 2020: Workshop on Recommendation in Complex Environments

Toine Bogers, Marijn Koolen, Casper Petersen, Bamshad Mobasher, Alexander Tuzhilin

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferenceabstrakt i proceedingsForskningpeer review


During the past decade, recommender systems have rapidly become an indispensable element of websites, apps, and other platforms that are looking to provide personalized interaction to their users. As recommendation technologies are applied to an ever-growing array of non-standard problems and scenarios, researchers and practitioners are also increasingly faced with challenges of dealing with greater variety and complexity in the inputs to those recommender systems. For example, there has been more reliance on fine-grained user signals as inputs rather than simple ratings or likes. Many applications also require more complex domain-specific constraints on inputs to the recommender systems. The outputs of recommender systems are also moving towards more complex composite items, such as package or sequence recommendations. This increasing complexity requires smarter recommender algorithms that can deal with this diversity in inputs and outputs. The ComplexRec workshop series offers an interactive venue for discussing approaches to recommendation in complex scenarios that have no simple one-size-fits-all solution.

TitelRecSys '20: Proceedings of the 14th ACM Conference on Recommender Systems
Antal sider2
ForlagAssociation for Computing Machinery
Publikationsdato22 sep. 2020
ISBN (Elektronisk)9781450375832
StatusUdgivet - 22 sep. 2020
Udgivet eksterntJa
Begivenhed14th ACM Conference on Recommender Systems, RecSys 2020 - Virtual, Online, Brasilien
Varighed: 22 sep. 202026 sep. 2020


Konference14th ACM Conference on Recommender Systems, RecSys 2020
ByVirtual, Online
Sponsor, , , , ,
NavnRecSys 2020 - 14th ACM Conference on Recommender Systems


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