Rawaa Alatrash
Orcid: 0000-0003-2192-028X
According to our database1,
Rawaa Alatrash
authored at least 19 papers
between 2020 and 2024.
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Bibliography
2024
Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System.
Int. J. Hum. Comput. Interact., November, 2024
Collaborative filtering integrated fine-grained sentiment for hybrid recommender system.
J. Supercomput., March, 2024
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].
Comput. Educ. Artif. Intell., 2024
ConceptGCN: Knowledge concept recommendation in MOOCs based on knowledge graph convolutional networks and SBERT.
Comput. Educ. Artif. Intell., 2024
Transparent Learner Knowledge State Modeling using Personal Knowledge Graphs and Graph Neural Networks.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024
Learner Modeling and Recommendation of Learning Resources using Personal Knowledge Graphs.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024
Designing and Evaluating an Educational Recommender System with Different Levels of User Control.
Proceedings of the 11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 18th ACM Conference on Recommender Systems (RecSys 2024), 2024
2023
Nat. Lang. Process. J., 2023
Fine-grained Sentiment-enhanced Collaborative Filtering-based Hybrid Recommender System.
J. Web Eng., 2023
Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System.
Inf., 2023
Automatic Construction of Educational Knowledge Graphs: A Word Embedding-Based Approach.
Inf., 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
A hybrid E-learning recommendation integrating adaptive profiling and sentiment analysis.
J. Web Semant., 2022
Semantics-Aware Context-Based Learner Modelling Using Normalized PSO for Personalized E-learning.
J. Web Eng., 2022
A Hybrid Recommendation Integrating Semantic Learner Modelling and Sentiment Multi-Classification.
J. Web Eng., 2022
Augmented language model with deep learning adaptation on sentiment analysis for E-learning recommendation.
Cogn. Syst. Res., 2022
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
Proceedings of the 14th International Conference on Education Technology and Computers, 2022
2020
Int. J. Electron. Bus., 2020