Proactive Guiding Strategy for Item-side Fairness in Interactive Recommendation | ScienceToStartup | ScienceToStartup

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References (34)

[1]

SarRec: Statistically-guaranteed Augmented Retrieval for Recommendation

2025Tong Zhang, Nitin Bisht et al.

[2]

Maximum Entropy Policy for Long-Term Fairness in Interactive Recommender Systems

2024Xiaoyu Shi, Quanliang Liu et al.

[3]

Proactive Recommendation with Iterative Preference Guidance

Founder's Pitch

"Develop an interactive recommendation system that ensures item-side fairness by using hierarchical reinforcement learning to guide user preferences toward long-tail items."

Interactive Recommendation•Score: 3•View PDF ↗

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Proactive Guiding Strategy for Item-side Fairness in Interactive Recommendation

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References (34)

Founder's Pitch

"Develop an interactive recommendation system that ensures item-side fairness by using hierarchical reinforcement learning to guide user preferences toward long-tail items."

Commercial Viability Breakdown

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Proactive Guiding Strategy for Item-side Fairness in Interactive Recommendation

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References (34)

Founder's Pitch

"Develop an interactive recommendation system that ensures item-side fairness by using hierarchical reinforcement learning to guide user preferences toward long-tail items."

Commercial Viability Breakdown

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