# Incorporating System-Level Objectives into Recommender Systems

## TL;DR

This paper addresses multistakeholder recommendation by incorporating system-level objectives into recommender systems, proposing algorithms that balance user personalization with system-wide goals over time.

## Contribution

It introduces the problem of multistakeholder recommendation including the system as a stakeholder and explores incremental methods to integrate system-level objectives.

## Key findings

- Proposes algorithms for multistakeholder recommendation with system involvement.
- Demonstrates improved balance between user satisfaction and system goals.
- Suggests incremental integration techniques for system-level objectives.

## Abstract

One of the most essential parts of any recommender system is personalization-- how acceptable the recommendations are from the user's perspective. However, in many real-world applications, there are other stakeholders whose needs and interests should be taken into account. In this work, we define the problem of multistakeholder recommendation and we focus on finding algorithms for a special case where the recommender system itself is also a stakeholder. In addition, we will explore the idea of incremental incorporation of system-level objectives into recommender systems over time to tackle the existing problems in the optimization techniques which only look for optimizing the individual users' lists.