AI RESEARCH
From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation
arXiv CS.CL
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ArXi:2509.23649v2 Announce Type: replace-cross Generative recommendation, which directly generates item identifiers, has emerged as a promising paradigm for recommendation systems. However, its potential is fundamentally constrained by the reliance on purely autoregressive