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Found 4 papers, 1 papers with code
Course Recommender Systems Need to Consider the Job Market
In light of the job market's rapid changes and the current state of research in course recommender systems, we outline essential properties for course recommender systems to address these demands effectively, including explainable, sequential, unsupervised, and aligned with the job market and user's goals.
JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching
Recent approaches in skill matching, employing synthetic training data for classification or similarity model training, have shown promising results, reducing the need for time-consuming and expensive annotations.
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties
In this paper, we propose \textbf{Party-wise Dropout} to improve the VFL model's robustness against the unexpected exit of passive parties and a defense method called \textbf{DIMIP} to protect the active party's IP in the deployment phase.
Evaluation Mechanism of Collective Intelligence for Heterogeneous Agents Group
Collective intelligence is manifested when multiple agents coherently work in observation, interaction, decision-making and action.
