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Computer Science, Information Retrieval

Mitigating Bias in MOOC Recommendation Systems Through Enriched Knowledge Graphs

Mitigating Bias in MOOC Recommendation Systems Through Enriched Knowledge Graphs

Summary: The study explored how participants prefer different path lengths when interpreting explanations with varying levels of detail. In a scenario where participants were presented with three paths of different lengths, the longest path was found to be the least preferred due to its high level of complexity and lack of relevance to the user’s needs. Participants preferred shorter paths that provided more concise and relevant explanations. The findings suggest that as path length increases, participants tend to perceive it as containing more irrelevant details and prefer more concise explanations. The study highlights the importance of striking a balance between detail and simplicity in explanations to ensure they are both comprehensible and relevant to the user’s needs.