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The long-term effects of recommender systems on multiple stakeholders
Mälardalen University, School of Business, Society and Engineering, Industrial Economics and Organisation.
2022 (English)In: ScAIEM PhD Candidate Workshop 2022, 2022Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

The recommender system has become an intergral part of any online experience. Previous research on recommender systems effects have focused on the user as the single stakeholder by evaluating the utility of the system for end users in a short term perspective. This thesis is building on the current research on recommender systems by expanding the number of stakeholders with the business as an explicit stakeholder and by evaluating the long-term effects of recommender systems on both the business and the customers.

Place, publisher, year, edition, pages
2022.
Keywords [en]
Recommender systems, Longitudinal effects, Multi-stakeholder, Modelling and Simulation
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:mdh:diva-61238OAI: oai:DiVA.org:mdh-61238DiVA, id: diva2:1719199
Conference
ScAIEM PhD Candidate Workshop 2022, Uppsala, Sweden, November 9th, 2022
Available from: 2022-12-14 Created: 2022-12-14 Last updated: 2022-12-22Bibliographically approved

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Annerwall, Lovisa

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