The authors augment existing multi-task models with auxiliary heads that capture pairwise relationships between tasks, specifically covariance between task labels.
Modeling pairwise task relationships improves multi-task recommendation systems
A proposed framework approximates the joint distribution of task labels using pairwise interactions, boosting accuracy and user satisfaction on YouTube surfaces
Big Tech
Victor Zhang · Yiping Yuan · Florian Raudies · Bosun Adeoti · Brian Y. C. Leung · Sanjay Surendranath Girija · +1 more
Research Digest··2 min read
Zhang et al.
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Learning pairwise cross-task relationships improves multi-task recommendation accuracy and user satisfaction.
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