A method for web-based user interface recommendation using collective knowledge and multi-attribute structures

Abstract

This paper presents a framework of a method for the problem of web-based user interface personalization and recommendation using collective knowledge (coming from s collection of existing users) and multi-attribute and multi-value structures. In this method a user profile consists of user data and system usage path. For a new user the usage path is determined basing on the paths used by previous users (the collective knowledge). This approach involving the recommendation methods may be applied in many systems which require such mechanisms. The structure of user profile and an algorithm for recommendation are presented. © 2011 Springer-Verlag Berlin Heidelberg.