SYSTEM AND METHOD FOR HISTORICAL DATABASE TRAINING OF NON-LINEAR MODELS FOR USE IN ELECTRONIC COMMERCE

摘要

A system and method for historical database training of non-linear models (43) for use in electronic commerce. The non-linear model is trained with training sets (36) from a stream of electronic commerce data. The system detects availability of new training data, and constructs a training set from the corresponding input data. Over time, many training sets are presented to the non-linear model. When multiple presentations are needed to effectively train the non-linear model, a buffer (1210) of training sets is filled and updated as new training data becomes available. Once the buffer is full, a new training set bumps the oldest training set from the buffer. The training sets are presented one or more times each time a new training set is constructed. An historical database may be used to construct training sets for the non-linear model. The non-linear model may be trained retrospectively by searching the historical database and constructing training sets.