CORDIS Project
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This project develops new methodologies for querying large social graphs, integrating web and social media searches. It aims to create a system for efficiently processing complex queries on big data, improving search engine capabilities and social media marketing strategies.
When we search for a product, can we find, using a single query, top choices ranked by Google and at the same time, recommended by our friends connected on Facebook?
Is such a query tractable on the social graph of Facebook, which has over 1.31 billion nodes and 170 billion links?
Is it feasible to evaluate such a query if we have bounded resources such as time and computing facilities?
These questions are challenging: they demand a departure from the traditional query evaluation paradigm and fr…
THE UNIVERSITY OF EDINBURGH
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