e-Business - An Online Shop in the Area of Technical and Scientific Publications

Abstract

The explosive growth of the world-wide-web and the emergence of e-commerce enabled the development of recommender systems that became to an independent emerged research area in the mid-1990s. The recommender systems are used to solve the prediction problem or the top-N recommendation problem. However, recommendation systems feel ever more the pressure related to a change on users habits. In order to capture users interests it is necessary a representation of information about an individual user. Our Online Shop in the Area of Technical and Scientific Publications intends to add the best of the user-based collaborative filtering and content-based collaborative filtering methodologies into a single hybrid methodology in order to answer some issues raised about new users and new items added to the recommender system. And also try to combine inference and prediction to assist the user in finding content that is of personal interest or even combine data mining techniques to provide recommendations.