Brand Classification Using Distributed Representation
Tao He, Juan Liu · Advanced materials research · 2014
The classification of brands refers to classify the brands of products to different categories. It is important in e-commerce and online advertising. Distributed representation is obtained from deep learning, a new area of machine learning research. The main advantage of it is that such a representation can capture various dimensions of both semantic and syntactic information. We use distributed representation to classify brands and compare this method with the approach based on normalized Google distance.