CORDIS Project
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This project focuses on analyzing the dynamic nature of the Web graph to identify trends and predict web page rankings. It aims to develop algorithms that enhance resource management in large-scale web searches through effective prediction techniques.
Data intensive systems flourish in the last decades with an ever increasing rate of data production. A characteristic such case is the Web graph.
Given the dynamism of the Web we aim to study the Web graph in terms of learning models and monitoring its evolution.
The main problems we study are: • identification of trends and patterns in the web graph, using the spectral properties of the evolving web adjacency matrix. • monitoring of web pages’ ranking over time, and prediction of pages web rank…
ATHENA - RESEARCH AND INNOVATION CENTER
ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS
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