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About this paper
Xiaopeng Ye, Zhuoyang Li, Baosong Yuan, Chen Xu, Jun Xu, Ji-Rong Wen
The authors present a survey and framework for content-level supply-side optimization in information retrieval systems. It organizes generative methods that create or refine content before retrieval, distinguishing generic generation from generation conditioned on a user. The survey also reviews evaluation methods and ecosystem risks, and proposes studying generation and matching together; it reports no experiment or measured platform-level gains.
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