METHOD AND SYSTEM FOR PURCHASE BEHAVIOR PREDICTION OF CUSTOMERS

摘要

A method and a system to enable customer behavior prediction are disclosed. Temporal and aggregate features with respect to purchases made by a customer are extracted from purchase history of customers. Further, temporal and aggregate models are generated corresponding to the features extracted, wherein the temporal and aggregate models are data of a first type and data of a second type respectively. Further, a Mixture of Experts (ME) is used to process the temporal and aggregate models that are of different types of data, to build a combined model, and purchase behavior of the customer is identified based on the combined model.