PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams 事件
PRODUCT_LAUNCH2026-06-08影响: MEDIUM
PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams arXiv:2606.07454v1 Announce Type: cross Abstract: Scientific paper recommendation is typically evaluated as static ranking over a fixed candidate set, yet real scientific reading unfolds as a daily, longitudinal process in which interests shift and feedback accumulates. We introduce PaperFlow, a framework that organizes it into three coupled stages: Profiling, which constructs and maintains a structured, inspectable sch
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PaperFlow: Profiling, Recommending, and Adapting Across Daily Paper Streams
ArXiv CS.AI2026-06-08