Multi-Faceted Learning to Rank With Content-Behavior Fusion for Satisfaction-Diverse Web Search
CBRank, a Content-and-Behavior fusion learning to Rank framework, unifying content-based and behavioral signals within a pre-trained language model (PLM) to solve the “satisfaction-diverse” challenge of web search.
Yu-Chen Li, Hao Zhang, Yong-Qi Zhang et al.
· IEEE Transactions on Knowled... · 0 citations