ComplexRec 2021: Fifth workshop on recommendation in complex environments

Himan Abdollahpouri, Toine Bogers, Bamshad Mobasher, Casper Petersen, Maria Soledad Soledad Pera

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearch

Abstract

During the past decade, recommender systems have rapidly become an indispensable element of websites, apps, and other platforms that seek to provide personalized interactions 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. Applications require more complex domain-specific constraints on inputs to the recommender systems. Likewise, the outputs of recommender systems are 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. For the past four years, the ComplexRec workshop series has offered an interactive venue for discussing approaches to recommendation in complex scenarios that have no simple one-size-fits-all solution.

Original languageEnglish
Title of host publicationRecSys 2021 - 15th ACM Conference on Recommender Systems
Number of pages3
PublisherAssociation for Computing Machinery (ACM)
Publication date13 Sept 2021
Pages775-777
ISBN (Electronic)9781450384582
DOIs
Publication statusPublished - 13 Sept 2021
Event15th ACM Conference on Recommender Systems, RecSys 2021 - Virtual, Online, Netherlands
Duration: 27 Sept 20211 Oct 2021

Conference

Conference15th ACM Conference on Recommender Systems, RecSys 2021
Country/TerritoryNetherlands
CityVirtual, Online
Period27/09/202101/10/2021
SponsorACM Special Interest Group on Artificial Intelligence (SIGAI), ACM Special Interest Group on Computer-Human Interaction (SIGCHI), ACM Special Interest Group on Hypertext, Hypermedia, and Web (ACM Special Interest Group on Hypertext, Hypermedia, and Web), Special Interest Group on Information Retrieval (ACM SIGIR), ACM Special Interest Group on Knowledge Discovery in Data (SIGKDD), Special Interest Group on Economics and Computation (SIGecom)
SeriesRecSys 2021 - 15th ACM Conference on Recommender Systems

Bibliographical note

Publisher Copyright:
© 2021 Owner/Author.

Keywords

  • complex recommendation
  • recommender systems

Fingerprint

Dive into the research topics of 'ComplexRec 2021: Fifth workshop on recommendation in complex environments'. Together they form a unique fingerprint.

Cite this