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- research-articleDecember 2024
Question Embedding on Weighted Heterogeneous Information Network for Knowledge Tracing
ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 19, Issue 1Article No.: 17, Pages 1–28https://doi.org/10.1145/3703158Knowledge Tracing (KT) aims to predict students’ future performance on answering questions based on their historical exercise sequences. To alleviate the problem of data sparsity in KT, recent works have introduced auxiliary information to mine question ...
- research-articleNovember 2023
Heterogeneous Evolution Network Embedding with Temporal Extension for Intelligent Tutoring Systems
ACM Transactions on Information Systems (TOIS), Volume 42, Issue 2Article No.: 45, Pages 1–28https://doi.org/10.1145/3617828Graph embedding (GE) aims to acquire low-dimensional node representations while maintaining the graph’s structural and semantic attributes. Intelligent tutoring systems (ITS) signify a noteworthy achievement in the fusion of AI and education. Utilizing GE ...
- research-articleOctober 2023
Document-level relation extraction with hierarchical dependency tree and bridge path
AbstractThe inter-sentence relation in a document is characterized by complex contextual information, large span of correlation and many kinds of relations, leading to the poor effect of sentence-level relation extraction models when addressing inter-...
- research-articleJuly 2023
Weighted Heterogeneous Graph-Based Three-View Contrastive Learning for Knowledge Tracing in Personalized e-Learning Systems
IEEE Transactions on Consumer Electronics (ITOCE), Volume 70, Issue 1Pages 2838–2847https://doi.org/10.1109/TCE.2023.3293953Personalized e-learning systems are applications of consumer electronics in the field of education that provide individualized and adaptive services for users. Knowledge tracing (KT), as a key technology, aims to model learners’ knowledge states ...
- research-articleMay 2023
Deep adversarial group recommendation with user feature space separation
User Modeling and User-Adapted Interaction (KLU-USER), Volume 34, Issue 3Pages 583–615https://doi.org/10.1007/s11257-023-09367-wAbstractMany online services allow users to participate in various group activities such as online meeting or group buying and thus need to provide user groups with services that they are interested. The group recommender systems emerge as required and ...