User identification for cross-system personalisation

Currently, there is an increasing demand for user-adaptive systems for various purposes in many different domains. Typically, personalisation in information systems occurs separately within each system. The recent trends in user modeling rely on cross-system personalisation, i.e., the opportunity to share information across multiple information systems in order to improve user adaptation. Cooperation among systems in order to exchange user model knowledge is a complex task. This paper addresses a key challenge for cross-system personalisation which is often taken as a starting assumption, i.e., user identification. In this paper, we describe the conceptualization and implementation of a framework that provides a common base for user identification for cross-system personalisation among web-based user-adaptive systems. However, the framework can be easily adopted in different working environments and for different purposes. The framework represents a hybrid approach which draws parallels both from centralized and decentralized solutions for user modeling. To perform user identification, we propose to exploit a set of identification properties that are combined using an identification algorithm.

[1]  Mark S. Ackerman,et al.  Beyond Concern: Understanding Net Users' Attitudes About Online Privacy , 1999, ArXiv.

[2]  Peter Brusilovsky,et al.  From adaptive hypermedia to the adaptive web , 2002, CACM.

[3]  Ajay Brar,et al.  Privacy and Security in Ubiquitous Personalized Applications , 2004 .

[4]  Boris Brandherm,et al.  Gumo - The General User Model Ontology , 2005, User Modeling.

[5]  Alfred Kobsa,et al.  Privacy-Enhanced Web Personalization , 2007, The Adaptive Web.

[6]  Craig A. Knoblock,et al.  Retrieving and Integrating Data from Multiple Information Sources , 1993, Int. J. Cooperative Inf. Syst..

[7]  Federica Cena,et al.  From Interoperable User Models to Interoperable User Modeling , 2006, AH.

[8]  Kim H. Veltman,et al.  Syntactic and semantic interoperability: New approaches to knowledge and the semantic web , 2001 .

[9]  Peraphon Sophatsathit,et al.  A Semantic Information Gathering Approach for Heterogeneous Information Sources on WWW , 2003, J. Inf. Sci..

[10]  Thomas R. Gruber,et al.  Toward principles for the design of ontologies used for knowledge sharing? , 1995, Int. J. Hum. Comput. Stud..

[11]  Lora Aroyo,et al.  The Next Big Thing: Adaptive Web-Based Systems , 2006, J. Digit. Inf..

[12]  Alfred Kobsa,et al.  Privacy-enhanced personalization , 2006, FLAIRS.

[13]  Frank Dignum,et al.  Issues in Agent Communication , 2000, Lecture Notes in Computer Science.

[14]  Cristina Gena,et al.  Methods and techniques for the evaluation of user-adaptive systems , 2005, The Knowledge Engineering Review.

[15]  R. Guha,et al.  Semantic Negotiation : Co-identifying objects across data sources , 2004 .

[16]  B. C. Brookes,et al.  Information Sciences , 2020, Cognitive Skills You Need for the 21st Century.

[17]  Lora Aroyo,et al.  Interoperability in Personalized Adaptive Learning , 2006, J. Educ. Technol. Soc..

[18]  Josef Fink,et al.  User modeling servers: requirements, design, and evaluation , 2004 .

[19]  Lora Aroyo,et al.  A Semantics-Based Dialogue for Interoperability of User-Adaptive Systems in a Ubiquitous Environment , 2007, User Modeling.

[20]  Ravi S. Sandhu,et al.  Role-Based Access Control Models , 1996, Computer.

[21]  Console Luca,et al.  iCITY - an adaptive social mobile guide for cultural events , 2006 .

[22]  Josep Lluís de la Rosa i Esteva,et al.  A Taxonomy of Recommender Agents on the Internet , 2003, Artificial Intelligence Review.

[23]  Mark Weiser,et al.  The future of ubiquitous computing on campus , 1998, CACM.

[24]  Alexandra I. Cristea,et al.  Explicit intelligence in adaptive hypermedia : generic adaptation languages for learning preferences and styles , 2005 .

[25]  Alexandra I. Cristea,et al.  Adaptation languages as vehicles of explicit intelligence in Adaptive Hypermedia , 2007 .

[26]  Steffen Staab,et al.  Semantic Web and Peer-to-Peer - Decentralized Management and Exchange of Knowledge and Information , 2006 .

[27]  Yang Wang,et al.  Respecting Users' Individual Privacy Constraints in Web Personalization , 2007, User Modeling.

[28]  Wolfgang Wörndl,et al.  Privacy in Distributed User Profile Management , 2003, WWW.

[29]  Alfred Kobsa,et al.  The Adaptive Web, Methods and Strategies of Web Personalization , 2007, The Adaptive Web.

[30]  C. Niederée.  A Multi-Dimensional , Unified User Model for Cross-System Personalization , 2005 .

[31]  Ilknur Celik,et al.  Interoperability between AEH user models , 2006, APS '06.

[32]  Peter Dolog.  Identifying Relevant Fragments of Learner Profile on the Semantic Web , 2004 .

[33]  Shlomo Berkovsky.  Ubiquitous User Modeling in Recommender Systems , 2005, User Modeling.

[34]  Alfred Kobsa,et al.  Generic User Modeling Systems , 2001, User modeling and user-adapted interaction.

[35]  Julita Vassileva,et al.  Distributed user modelling for universal information access , 2001, HCI.

[36]  Alfred Kobsa,et al.  Privacy through pseudonymity in user-adaptive systems , 2003, TOIT.

[37]  Federica Cena,et al.  An approach for evaluating User Model Data in an interoperability scenario , 2006, STAIRS.

[38]  Elisa Bertino,et al.  Privacy-Preserving Database Systems , 2005, FOSAD.

[39]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .

[40]  Arjohn Kampman,et al.  SeRQL: An RDF Query and Transformation Language , 2004 .

[41]  Ilaria Torre,et al.  Personalized and Adaptive Services on Board a Car: An Application for Tourist Information , 2003, Journal of Intelligent Information Systems.

[42]  Alfred Kobsa,et al.  Personalised hypermedia presentation techniques for improving online customer relationships , 2001, The Knowledge Engineering Review.

[43]  Jeffrey M. Bradshaw,et al.  What Is a Conversation Policy? , 2000, Issues in Agent Communication.

[44]  Gjpm Geert-Jan Houben,et al.  Towards a generic user model component , 2005 .

[45]  Erik Duval,et al.  Spinning Interoperable Applications for Teaching & Learning using the Simple Query Interface , 2006, J. Educ. Technol. Soc..