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Found 4 papers, 1 papers with code
AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedIn
Data-driven companies use AI models extensively to develop products and intelligent business solutions, making the health of these models crucial for business success.
Simultaneous Relevance and Diversity: A New Recommendation Inference Approach
Heterogeneous inference achieves divergent relevance, where relevance and diversity support each other as two collaborating objectives in one recommendation model, and where recommendation diversity is an inherent outcome of the relevance inference process.
Inferring Social Media Users' Mental Health Status from Multimodal Information
In this paper, we explore the use of multimodal cues present in social media posts to predict users{'} mental health status.
Heterogeneous Collaborative Filtering
Recommendation system is important to a content sharing/creating social network.
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