With the explosion in the number of mobile applications (apps), it becomes increasingly
difficult to find a suitable app that aligns with user's needs and preferences. Recommender …

Collaborative team recommendation involves selecting experts with certain skills to form a
team who will, more likely than not, accomplish a task successfully. To automate the …

Neural team recommendation models have utilized graph representation learning to
achieve state-of-the-art performance in forming teams of experts whose success in …

Neural team recommendation has brought state-of-the-art efficacy while enhancing
efficiency at forming teams of experts whose success in completing complex tasks is almost …

In the field of collaborative work, effectively forming teams is crucial for achieving success.
The challenge of constructing cohesive teams lies in selecting from a vast array of potential …

Abstract In recent years, Graph Neural Networks (GNNs) have been found highly effective
for learning from graph data in various applications. Real-world graph data often showcase …

Establishing a competent team is crucial to the success of a project and is influenced by skill
distribution and geographic proximity. A team not only benefits from the shared knowledge …

Neural team recommendation models have brought state-of-the-art efficacy while enhancing
efficiency at recommending collaborative teams of experts who, more likely than not, can …

Expert search and team formation systems operate on collaboration networks, with nodes
representing individuals, labeled with their skills, and edges denoting collaboration …