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Graph-based Search & Recommendation has the following advantages:Truly smart search is possible, be it multiple keywords correlation or linkage search, causality search, or some other types of search traditional search can’t handle;Real-time recommendation is possible as real-time data refreshing is made possible;Working with Knowledge Graph, such as Merchandise Knowledge Graph, the recommendation is very much human like - 100% intelligent, instead of relying on pure aggregated statistical data results;Recommendation Graph = Real-time Merchandise Graph + Customer 360-degree Graph, it offers unified all-in-one recommendation solution.
If you are going to build a search and recommendation system that’s fast and smart, with low TCO and high ROI, adopting a graph-powered solution makes every sense, welcome to the rapidly evolving world of IT - graph is on the way to become main-stream.