Hanze Guo

Hanze Guo

Ph.D. student working on LLM alignment, personalized reasoning, retrieval, and recommendation.

Why not Collaborative Filtering in Dual View? Bridging Sparse and Dense Models

Published in ACM Transactions on Information Systems (TOIS), CCF-A, 2026

This work studies how sparse user-item interaction structures can be effectively integrated with dense recommendation models. The proposed dual-view framework is plug-and-play and improves recommendation performance, with stronger modeling ability for long-tail items.

Recommended citation: Hanze Guo, Jianxun Lian, and Xiao Zhou. "Why not Collaborative Filtering in Dual View? Bridging Sparse and Dense Models." ACM Transactions on Information Systems, 2026.