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cloud.google.com·21h ago
AI Research
arXiv CS.AI·Jun 15·5 min read
Abstracting Cross-Domain Action Sequences into Interpretable Workflows
TL;DR
Complex action sequences across different domains often lack clear interpretation, making them difficult to analyze. A new framework called Cross-Domain Action Sequence (CDAS) was developed to abstract these sequences into interpretable workflows.
✦ Why It Matters
Engineers can leverage the CDAS framework to enhance the interpretability of complex action sequences in their projects.
Key Takeaways
- Utilize WorkflowView for better user behavior insights.
- Leverage LLMs to reduce noise in action sequence data.
- Achieve high semantic similarity in task reconstruction.
- Implement privacy-preserving analysis in document workflows.
How It Works
WorkflowView employs large language models to interpret and abstract low-level user actions into high-level workflows. By analyzing sequential logs, it identifies patterns and clusters actions into meaningful activities, which enhances the interpretability of user interactions.