# Patterns of Multistakeholder Recommendation

arXiv: https://arxiv.org/abs/1707.09258 · HTML: https://mlsanity.com/paper/1707.09258/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Jul 2017.

## Built on by (most cited first, 1 of 1)

- [Fair Effect Attribution in Parallel Online Experiments](https://mlsanity.com/paper/2210.08338/) (2022)

## Abstract (arXiv)

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.