Recommendation System Simulations: A Discussion of Two Key Challenges

• URL: http://arxiv.org/abs/2109.02475v1
• Date: Wed, 25 Aug 2021 15:11:38 GMT
• Title: Recommendation System Simulations: A Discussion of Two Key Challenges
• Authors: Allison J.B. Chaney
• Abstract summary: Simulations provide an avenue for understanding the impacts of recommendation systems on individuals and society. This paper will delve into two key challenges: first, defining a model for users selecting or engaging with recommended items and second, defining a mechanism for users encountering items that are not recommended to the user directly by the platform.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: As recommendation systems become increasingly standard for online platforms, simulations provide an avenue for understanding the impacts of these systems on individuals and society. When constructing a recommendation system simulation, there are two key challenges: first, defining a model for users selecting or engaging with recommended items and second, defining a mechanism for users encountering items that are not recommended to the user directly by the platform, such as by a friend sharing specific content. This paper will delve into both of these challenges, reviewing simulation assumptions from existing research and proposing alternative assumptions. We also include a broader discussion of the limitations of simulations and outline of open questions in this area.

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