(1) The scale of e-commerce is constantly expanding and the competition pattern is becoming increasingly complex;
(2) The number and variety of commodities are growing rapidly;
(3) Information overload leads to continuous loss of consumers;
(4) Quickly capture user needs and accurately launch related strategies;
Accurately match users' interests and concerns in the information explosion, and continuously improve user stickiness.
Avoid browsing meaningless information
Prevent continued user loss and recover
Massive data mining
(1) Analyze and process massive data, quickly process new data and real-time interaction。
(2) Flexible addition and iteration of various recommendation algorithms.
(3) Standard SQL, no learning curve, supporting standard ANSI SQL。
(4) Low latency response to high QPS recommendation requests.
(5) Compatible with multiple industries and fields.