adcontext is currently a draft-stage experiment and still in exploration mode.
Hypothesis
Context extraction from user interaction streams can improve ad relevance without over-personalization.
Planned direction
- Prototype an intent classifier over short interaction sequences.
- Connect intent labels to a retrieval layer of message and creative variants.
- Design guardrails for privacy and bias before implementation.
Open questions
- Which context signals are predictive enough to keep?
- How should feedback loops be weighted between clicks, dwell time, and downstream conversion?