Integrating User Data and Collaborative Filtering in a Web Recommendation System

Web-based applications with a large variety of users suffer from the inability to satisfy heterogeneous needs. A remedy for the negative effects of the traditional "one-size-fits-all" approach is to enhance the system's ability to adapt its own behaviour to the users characteristics, such as goals, tasks, interests, that are stored in user profiles. Filtering techniques are used to analyse profile data and provide recommendation to the users to help them navigating in the site and retrieving information of interest. However, techniques such as collaborative filtering are very time consuming and for this are not suitable to be implemented in small systems. We describe here the approach we have adopted in FAIRWIS (Trade FAIR Web-based Information Services), a system that offers on-line innovative services to support the trade fair business processes and a great number of exhibitors organized in a Web-based virtual fair. The approach is based on the integration of data the...

• Type: Conference
• Year: 2001
• Where: OHS
• Authors: Paolo Buono, Maria Francesca Costabile, Stefano Guida, Antonio Piccinno
• Keywords: Collaborative Filtering, FAIR Web-based Information, Internet Technology, OHS 2001, Trade Fair