LLM agents enable a shift in recommender systems from opaque hidden profiles to governable, inspectable, and portable user representations.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Input-level control over user profiles in an educational recommender system suffices to boost perceived control and positively shapes transparency, trust, satisfaction, and perceived quality, while further controls mainly reinforce impressions.
citing papers explorer
-
From Hidden Profiles to Governable Personalization: Recommender Systems in the Age of LLM Agents
LLM agents enable a shift in recommender systems from opaque hidden profiles to governable, inspectable, and portable user representations.
-
Investigating the Effects of Different Levels of User Control in an Interactive Educational Recommender System
Input-level control over user profiles in an educational recommender system suffices to boost perceived control and positively shapes transparency, trust, satisfaction, and perceived quality, while further controls mainly reinforce impressions.