A Personal Data Framework for Distributed User Modelling in New Service Ecosystems

User models generated from personal data are becoming a powerful tool used by service providers to personalize their supply, or introduce new features by means of recommendations or prediction of user behavior, among other applications. However, traditional user modelling requires each service provider to acquire and manage their users' personal information and carry out complex modelling processes. In this paper, we present a comprehensive personal data framework that distributes the user modelling process so that the personal data scattered in heterogeneous sources is used to generate on-demand, dynamic user models that can be retrieved by service providers to meet their business needs. Our proposal has been validated in a financial services scenario.

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

[2]  Michael S. Bernstein,et al.  Personalization via friendsourcing , 2010, TCHI.

[3]  Juan C. Yelmo,et al.  Creating and Modelling Personal Socio-Economic Networks in On-Line Banking , 2014, WISE Workshops.

[4]  Dominik Heckmann,et al.  Ubiquitous user modeling , 2006 .

[5]  Juan C. Yelmo,et al.  A Personal Data Framework for Exchanging Knowledge about Users in New Financial Services , 2015, FINREC.

[6]  Michal Barla.  Towards Social-based User Modeling and Personalization , 2010 .

[7]  Alessandro Micarelli,et al.  User Profiles for Personalized Information Access , 2007, The Adaptive Web.

[8]  Wan Fokkink,et al.  Towards the Definition of an Ontology for Trust in (Web) Data , 2014, URSW.

[9]  Liyang Yu,et al.  A Developer’s Guide to the Semantic Web , 2011, Springer Berlin Heidelberg.

[10]  Marco Viviani,et al.  A Survey on User Modeling in Multi-application Environments , 2010, 2010 Third International Conference on Advances in Human-Oriented and Personalized Mechanisms, Technologies and Services.

[11]  Alfred Kobsa,et al.  An LDAP-based User Modeling Server and its Evaluation , 2006, User Modeling and User-Adapted Interaction.

[12]  Darina Dicheva,et al.  Ontological technologies for user modelling , 2010, Int. J. Metadata Semant. Ontologies.

[13]  Peter Brusilovsky,et al.  User Models for Adaptive Hypermedia and Adaptive Educational Systems , 2007, The Adaptive Web.

[14]  Federica Cena,et al.  User model interoperability: a survey , 2011, User Modeling and User-Adapted Interaction.

[15]  Jaime R. Carbonell,et al.  AI in CAI : An artificial intelligence approach to computer-assisted instruction , 1970 .

[16]  Roy Fielding,et al.  Architectural Styles and the Design of Network-based Software Architectures"; Doctoral dissertation , 2000 .

[17]  Christoph Meinel,et al.  Enabling reputation interoperability through semantic technologies , 2010, I-SEMANTICS '10.

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

[19]  Christoph Froschl,et al.  User Modeling and User Profiling in Adaptive E-learning Systems , 2005 .

[20]  Muhammad Asif,et al.  Personalization of Mobile Services , 2014 .