ISBN-13: 9783639157178 / Angielski / Miękka / 2009 / 132 str.
The Web provides access to a wealth of information to a huge diverse user population on a global scale. One successful mechanism in dealing with this diversity of users is to personalize Web sites, services, and system content and customize for a specific user. Since this process currently occurs separately within each system, there are several drawbacks over an integrated approach.Cross system personalization (CSP) allows for sharinginformation across different information systems in a user-centric way and can overcome theaforementioned problems. Information about users, which is originally scattered across multiplesystems, is combined to obtain maximum leverage and reuse. This book explains a principled approach towards achieving cross system personalization. We describe two approaches for CSP: semantic and learning-based, with a stronger emphasison the learning approach. We also investigate the privacy and scalability aspects of CSP andprovide solutions to these problems. Finally, we also explore in detail the aspect of robustness in recommender systems.