作者位次 #3/5SIGIR 2026Oral· Information Retrieval (Full)
Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
Jujia Zhao · Zihan Wang · Shuaiqun Pan · Suzan Verberne · Zhaochun Ren
摘要
Search and recommendation (S&R) are two integral components of modern online platforms, both aiming to model and satisfy user information needs. This shared objective motivates a unified modeling paradigm that enables richer user modeling and improves the effectiveness of both tasks. Recent attem...