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Computer Science > Information Retrieval

arXiv:2109.02475 (cs)
[Submitted on 25 Aug 2021]

Title:Recommendation System Simulations: A Discussion of Two Key Challenges

Authors:Allison J.B. Chaney
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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.
Comments: 6 pages
Subjects: Information Retrieval (cs.IR); Machine Learning (cs.LG)
Cite as: arXiv:2109.02475 [cs.IR]
  (or arXiv:2109.02475v1 [cs.IR] for this version)
  https://doi.org/10.48550/arXiv.2109.02475

Submission history

From: Allison Chaney [view email]
[v1] Wed, 25 Aug 2021 15:11:38 UTC (37 KB)
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