Towards explainable educational recommendation through path reasoning methods
Current recommender systems in education lack explainability and interpretability, making it
challenging for stakeholders to understand how the recommended content relates to them …
challenging for stakeholders to understand how the recommended content relates to them …
[PDF][PDF] Knowledge-aware Recommendations: Exploring the Interplay between Utility, Explanation Quality, and Fairness in Path Reasoning Methods.
Abstract Adopting Knowledge Graphs (KGs) in recommender systems has engendered the
emergence of sophisticated techniques, such as path reasoning, designed to navigate KGs …
emergence of sophisticated techniques, such as path reasoning, designed to navigate KGs …
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective
J Frej, N Shah, M Knezevic, T Nazaretsky… - Proceedings of the 14th …, 2024 - dl.acm.org
The increasing availability of Massive Open Online Courses (MOOCs) has created a
necessity for personalized course recommendation systems. These systems often combine …
necessity for personalized course recommendation systems. These systems often combine …
A Survey on Explainable Course Recommendation Systems
B Ma, T Yang, B Ren - International Conference on Human-Computer …, 2024 - Springer
An emerging challenge in course recommendation systems is the need to explain clearly to
students the rationale behind specific course recommendations. Consequently, recent …
students the rationale behind specific course recommendations. Consequently, recent …
Knowledge is power, understanding is impact: Utility and beyond goals, explanation quality, and fairness in path reasoning recommendation
Path reasoning is a notable recommendation approach that models high-order user-product
relations, based on a Knowledge Graph (KG). This approach can extract reasoning paths …
relations, based on a Knowledge Graph (KG). This approach can extract reasoning paths …
Educational explainable recommender usage and its effectiveness in high school summer vacation assignment
Explainable recommendations, which provide explanations about why an item is
recommended, help to improve the transparency, persuasiveness, and trustworthiness …
recommended, help to improve the transparency, persuasiveness, and trustworthiness …
Explainable meta-path based recommender systems
Meta-paths have been popularly used to provide explainability in recommendations.
Although long/complicated meta-paths could represent complex user-item connectivity, they …
Although long/complicated meta-paths could represent complex user-item connectivity, they …
Attention is not the only choice: counterfactual reasoning for path-based explainable recommendation
Compared with only pursuing recommendation accuracy, the explainability of a
recommendation model has drawn more attention in recent years. Many graph-based …
recommendation model has drawn more attention in recent years. Many graph-based …
Orienting students to course recommendations using three types of explanation
An emerging challenge in course recommender systems is explaining to students why they
have been recommended particular courses. In the context of a university, it can be valuable …
have been recommended particular courses. In the context of a university, it can be valuable …
[PDF][PDF] Exploring the design space for explainable course recommendation systems in university environments
A course recommendation system can assist students in finding suitable courses through a
personalized approach. Showing why the course is recommended serves as a bridge …
personalized approach. Showing why the course is recommended serves as a bridge …