UniSAR: Modeling User Transition Behaviors between Search and Recommendation - Session M3.6

Explore a conference talk that delves into the modeling of user transition behaviors between search and recommendation systems. Gain insights into the UniSAR model, which aims to understand how users navigate between search and recommendation interfaces. Learn about the research conducted by authors Teng Shi, Zihua Si, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Dewei Leng, Yanan Niu, and Yang Song as they present their findings on user behavior patterns and the implications for improving information retrieval systems. This 16-minute presentation, part of the Users and Simulations session at SIGIR 2024, offers valuable knowledge for researchers and practitioners in the field of information retrieval and user experience design.

SIGIR 2024 M3.6 [fp] UniSAR: Modeling User Transition Behaviors between Search and Recommendation