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Computer Science > Computer Vision and Pattern Recognition
This paper proposes a Retrieval-Augmented Generation (RAG) framework for scientific image quality assessment, designed to simultaneously address both the understanding track (SIQA-U) and the scoring track (SIQA-S) of the SIQA challenge.
Computer Science > Computation and Language
Knowledge graph completion (KGC) aims to infer missing facts in knowledge graphs (KGs), thereby improving their completeness and supporting downstream intelligent applications. However, emerging entities and relations in real-world deployments make inductive KGC difficult, especially under few-shot and zero-shot settings.
A user behavior inertia based spatio temporal next POI recommendation model
Abstract The next POI (point-of-interest) recommendation problem is very challenging. It requires not only considering the previous state, location, and user context information, but also analyzing the user behavior. The personalization and uncertainty of user behavior are key issues affecting the accuracy of POI recommendation. Despite this, practice has shown that user behavior is driven by purpose and has certain inherent patterns, which we call behavior inertia.
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