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The article focuses on addressing the unfair exposure issue in session-based recommender systems (SRSs) which provide short-term and dynamic recommendations to users based on their current session. Topics include the introduction of new fairness metrics for item exposure and recommendation quality, the development of a dynamic Fairness-Assurance Strategy for session-based recommender systems (FASTER), and the results demonstrating its ability to improve exposure fairness.