RMSE: Workshop on recommendation in multistakeholder environments

Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang

Research output: Contribution to journalConference articlepeer-review

Abstract

In research practice, recommender systems are typically evaluated on their ability to provide items that satisfy the needs and interests of the end user. However, in many recommendation domains, the user for whom recommendations are generated is not the only stakeholder in the recommendation outcome. For example, fairness and balance across stakeholders is important in some recommendation applications; achieving a goal such as promoting new sellers in a marketplace might be important in others. Such multistakeholder environments present unique challenges for recommender system design and evaluation, and these challenges were the focus of this workshop.

Original languageEnglish (US)
JournalCEUR Workshop Proceedings
Volume2440
StatePublished - Jan 1 2019
Event2019 Workshop on Recommendation in Multi-Stakeholder Environments, RMSE 2019 - Copenhagen, Denmark
Duration: Sep 20 2019 → …

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Keywords

  • Bias
  • Discrimination
  • E-commerce
  • Fairness
  • Multistakeholder recommendation

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