Author

Yongsen Zheng

2 papers indexed here

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#artificial intelligence Conference Open access Mar 2024

FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System

This work proposes a novel paradigm, Multi-Facet Preference Learning for Pricking Filter Bubbles in Conversational Recommender System (FacetCRS), which aims to burst filter bubbles in the conversational recommender system (CRS) through timely user-item interactions via natural language conversations.

Yong-Sen Zheng, Zi-Liang Chen, Jinghui Qin et al. · AAAI Conference on Artificia... · 11 citations · ⚡1

#machine learning Preprint Sep 2026

OSR: Output Space Redistribution for Adaptive Label Removal in Classification Models

A novel approach that leverages statistical redistribution in the output space to approximate the post-removal confidence vectors of a retrained model, alleviating scalability limitations and potentially mitigates privacy concerns inherent to data-dependent solutions is proposed.

Min-Yi Peng, Darian Gunamardi, Ivan Tjuawinata et al. · 0 citations