Project: Investigating the longitudinal effects ...
Master data
Investigating the longitudinal effects of different strategies in multistakeholder recommendation scenarios with agent-based simulation | |
Description: | This project focuses on recommender systems with a particular emphasis on investigating the longitudinal interactions between the different stakeholders of such systems, i.e., users and recommendation service providers. Users are generally interested to receive recommendations that match their needs and interests. Recommendation providers, on the other hand, strive to sustain a business by providing recommendations that are both helpful for users and at the same time serve the organization’s goals. This work employs agent-based modelling to simulate longitudinal dynamics of recommendation systems. Understanding these dynamics shall help to build future recommender systems that are effective in the long term and support the decision-making process of recommendation service providers. |
Keywords: | Recommender systems, Agent-based Modeling and Simulation, Trust |
Short title: | Longitudinal Effects of Recommenders |
Period: | 15.11.2019 - 30.10.2022 |
Contact e-mail: | dietmar.jannach@aau.at |
Homepage: | - |
Employees
Employees | Role | Time period |
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Nada Abdulkreem Ghanem (internal) |
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Dietmar Jannach (internal) |
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Stephan Leitner (internal) |
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Assignment
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Fakultät für Technische Wissenschaften
Institut für Artificial Intelligence und Cybersecurity
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Fakultät für Wirtschafts- und Rechtswissenschaften
Institut für Unternehmensführung Abteilung für Controlling und Strategische Unternehmensführung
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Universität Klagenfurt
Digital Age Research Center (D!ARC) Doktoratskolleg Decide
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Gender aspects | Genderrelevance not selected |
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