Mouadh Guesmi

Orcid: 0000-0002-4105-8896

According to our database1, Mouadh Guesmi authored at least 19 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Semantic Interest Modeling and Content-Based Scientific Publication Recommendation Using Word Embeddings and Sentence Encoders.
Multimodal Technol. Interact., 2023

Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System.
Inf., 2023

Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System.
CoRR, 2023

Visualization for Recommendation Explainability: A Survey and New Perspectives.
CoRR, 2023

Open Learning Analytics: A Systematic Literature Review and Future Perspectives.
CoRR, 2023

The LAVA Model: Learning Analytics Meets Visual Analytics.
CoRR, 2023

Designing Theory-Driven Analytics-Enhanced Self-Regulated Learning Applications.
CoRR, 2023

Validation of the EDUSS Framework for Self-Actualization Based on Transparent User Models: A Qualitative Study.
Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

2022
Interactive Visualizations of Transparent User Models for Self-Actualization: A Human-Centered Design Approach.
Multimodal Technol. Interact., 2022

Explaining User Models with Different Levels of Detail for Transparent Recommendation: A User Study.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

What if Interactive Explanation in a Scientific Literature Recommender System.
Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

A Multi-Dimensional Conceptualization Framework for Personalized Explanations in Recommender Systems 11-23.
Proceedings of the Joint Proceedings of the IUI 2022 Workshops: APEx-UI, 2022

Learning Channels to Support Interaction and Collaboration in CourseMapper.
Proceedings of the 14th International Conference on Education Technology and Computers, 2022

2021
On-demand Personalized Explanation for Transparent Recommendation.
Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

SIMT: A Semantic Interest Modeling Toolkit.
Proceedings of the Adjunct Publication of the 29th ACM Conference on User Modeling, 2021

Input or Output: Effects of Explanation Focus on the Perception of Explainable Recommendation with Varying Level of Details.
Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Open, Scrutable and Explainable Interest Models for Transparent Recommendation.
Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021

2020
How to Design Effective Learning Analytics Indicators? A Human-Centered Design Approach.
Proceedings of the Addressing Global Challenges and Quality Education, 2020


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