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Disambiguation of "Joarder, Shoeb"

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Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System

, , , , , , and . Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, page 254-264. ACM, (July 2022)Several detail-levels of explanations and their match to individual differences.
DOI: 10.1145/3503252.3531304

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Shoeb Saleh

Zein El Abedine Abdel Rahman Shoeb

Khaja Shoeb Hasan

 

Other publications of authors with the same name

Validation of the EDUSS Framework for Self-Actualization Based on Transparent User Models: A Qualitative Study., , , , , and . UMAP (Adjunct Publication), page 229-238. ACM, (2023)Erratum to "ConceptGCN: Knowledge concept recommendation in MOOCs based on knowledge graph convolutional networks and SBERT" Computers and Education: Artificial Intelligence 6 (June 2024) 100193., , , , , and . Comput. Educ. Artif. Intell., (2024)A Multi-Dimensional Conceptualization Framework for Personalized Explanations in Recommender Systems 11-23., , , and . IUI Workshops, volume 3124 of CEUR Workshop Proceedings, page 11-23. CEUR-WS.org, (2022)Open, Scrutable and Explainable Interest Models for Transparent Recommendation., , , , , , , and . IUI Workshops, volume 2903 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Is More Always Better? The Effects of Personal Characteristics and Level of Detail on the Perception of Explanations in a Recommender System., , , , , , and . UMAP, page 254-264. ACM, (2022)Learning Channels to Support Interaction and Collaboration in CourseMapper., , , , , , and . ICETC, page 252-260. ACM, (2022)Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System., , , , , , and . Inf., 14 (7): 401 (2023)Interactive Visualizations of Transparent User Models for Self-Actualization: A Human-Centered Design Approach., , , , and . Multimodal Technol. Interact., 6 (6): 42 (2022)Explaining User Models with Different Levels of Detail for Transparent Recommendation: A User Study., , , , , , and . UMAP (Adjunct Publication), page 175-183. ACM, (2022)On-demand Personalized Explanation for Transparent Recommendation., , , , , , , and . UMAP (Adjunct Publication), page 246-252. ACM, (2021)