International Journal of Engineering and Technology

The data available on the web is highly dynamic in nature especially in the case of e-commerce systems. It needs to be handled efficiently in order to provide competitive and efficient applications such as recommender system that would be able to predict the ever changing tastes of users accurately. This aim can be fulfilled by building a model which is a combination of several classifier algorithms and also including a time-variable function. Over the last decade, several multiclassifier approaches were proposed and shown to be useful in many applications. Some approaches in temporal dynamics also emerged and have been proven fruitful in respective areas. In this paper an overview of such techniques of multiclassifier algorithms as well as temporal dynamics is presented.