RecSys paper says recommendation systems must now serve both humans and agents
_reachsumit · x · 2026-07-29
Thesis
This position paper argues that recommender systems are moving from serving only humans to serving a mix of humans and authorized autonomous agents.
Key points
- Agents are treated as independent, user-aligned assistants acting on behalf of people.
- The paper introduces a three-way interaction model among humans, agents, and platforms.
- This shift changes how RecSys should be evaluated and designed.
- It also creates new challenges around alignment, evaluation, and system architecture.
Why it matters
The authors argue that recommender research will need to adapt to an environment where recommendation consumers are no longer exclusively human.
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