The definition and measurement of information is fundamental to methods for information retrieval, text mining, and machine learning.
Data aggregated and retrieval augmented LLMs for reference chat analysis and tool development for library resource and service optimization.
Decentralized search and retrieval on the web scale. Efficiency, effectiveness, and scalability.
We study decentralized searches in large-scale information networks and discover the phenomenon of Clustering Paradox, that is, how distributed system interconnect and cluster imposes a limit on search performance and scalability.