Patterns of Multistakeholder Recommendation
Information Retrieval
2017-07-31 v1
Abstract
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.
Cite
@article{arxiv.1707.09258,
title = {Patterns of Multistakeholder Recommendation},
author = {Robin Burke and Himan Abdollahpouri},
journal= {arXiv preprint arXiv:1707.09258},
year = {2017}
}
Comments
Presented at the 2017 Workshop on Value-Aware and Multistakeholder Recommendation