37 citations · 90 across the 31 of their papers we have counts for
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cs.IR2026
MACS: A Hybrid Multi-Agent Framework for Reliable Conversational E-Commerce Recommendation
Juli Huang, Hannah Clay, Sajjad Beygi +3
Conversational recommendation for e-commerce is increasingly mediated by large language models (LLMs), yet many real-world deployments operate under a stricter requirement: recomme…
cs.IR2023★ 4 cited
Interpolating Item and User Fairness in Multi-Sided Recommendations
Qinyi Chen, Jason Cheuk Nam Liang, Negin Golrezaei +1
Today's online platforms heavily lean on algorithmic recommendations for bolstering user engagement and driving revenue. However, these recommendations can impact multiple stakehol…