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SAIL-JD Knowledge Graph Research Program

Principal Investigators:

Jure Leskovec

Christopher Manning

Project Summary:

The SAIL-JD Knowledge Graph Research Program aims to create a multiscale behavioral model through text mining to predict future behavior using temporal graphs and deep embedding methods. Text will be used to construct a large-scale, multimodal, dynamic and interpretable knowledge graph of customers and interactions. Once constructed, this knowledge graph will provide intelligent customer service, recommendations and predictions from structured query and natural language.


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