Tech Track: Graph-based recommendations

Tech Track: Graph-based recommendations

A recommendation approach is developed based on the full customer relationship graph, and a similarity metric, the Expected Degrees of Separation between nodes.

Scalability issues are discussed and a methodology for estimating EDS in big data sets is presented, along with empirical results based on anonymised Barclays customer transaction data.

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