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User modeling and user profiling: A comprehensive survey
The integration of artificial intelligence (AI) into daily life, particularly through information
retrieval and recommender systems, has necessitated advanced user modeling and …
retrieval and recommender systems, has necessitated advanced user modeling and …
A survey of models for cognitive diagnosis: New developments and future directions
Cognitive diagnosis has been developed for decades as an effective measurement tool to
evaluate human cognitive status such as ability level and knowledge mastery. It has been …
evaluate human cognitive status such as ability level and knowledge mastery. It has been …
Client selection in hierarchical federated learning
S Trindade, NLS da Fonseca - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Federated learning (FL) is a promising technique for providing distributed learning without
clients disclosing their private data. In hierarchical FL (HFL), edge servers partially …
clients disclosing their private data. In hierarchical FL (HFL), edge servers partially …
Federated news recommendation with fine-grained interpolation and dynamic clustering
Researchers have successfully adapted the privacy-preserving Federated Learning (FL) to
news recommendation tasks to better protect users' privacy, although typically at the cost of …
news recommendation tasks to better protect users' privacy, although typically at the cost of …