2017/07/28 by Robin Burke, Burke, Robin, Himan Abdollahpouri +1
Business, Management and Accounting · Computer Science · #Consumer Market Behavior and Pricing #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Peer-to-Peer Network Technologies #Recommender Systems and Techniques
paper · pdf · doi:10.48550/arxiv.1707.09258
openalex publication_date 2017/07/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Recommender systems are personalized information systems. However, in many settings, the end-user of the recommendations is not the only party whose needs must be represented in recommendation generation. Incorporating this insight gives rise to the notion of multistakeholder recommendation, in which the interests of multiple parties are represented in recommendation algorithms and evaluation. In this paper, we identify patterns of stakeholder utility that characterize different multistakeholder recommendation applications, and provide a taxonomy of the different possible systems, only some of which have currently been implemented.