Design principles for competence-based Recommender Systems

In this paper we analyze the principal preconditions and limitations for designing a competence-based Recommender System. In detail this analysis is contextualized in the ARISTOTELE European project. In the second part of the paper an architectural view is proposed taking in consideration the objective to propose standard and non-standard suggestions. This solution will permit to insert serendipity approaches into classical solutions.

[1]  E. Wenger,et al.  Communities of Practice: The Organizational Frontier , 2000 .

[2]  C. P. Goodman,et al.  The Tacit Dimension , 2003 .

[3]  Mark S. Granovetter The Strength of Weak Ties , 1973, American Journal of Sociology.

[4]  Hui Xiong,et al.  Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[5]  Gregoris Mentzas,et al.  Competency based management: a review of systems and approaches , 2006, Inf. Manag. Comput. Secur..

[6]  Gerhard Friedrich,et al.  Recommender Systems - An Introduction , 2010 .

[7]  野中 郁次郎,et al.  The Knowledge-Creating Company: How , 1995 .

[8]  Lior Rokach,et al.  Introduction to Recommender Systems Handbook , 2011, Recommender Systems Handbook.

[9]  Robert Phaal,et al.  Technology roadmapping—A planning framework for evolution and revolution , 2004 .

[10]  Ofer Arazy,et al.  A Theory-Driven Design Framework for Social Recommender Systems , 2010, J. Assoc. Inf. Syst..

[11]  Alexander Felfernig,et al.  Constraint-based recommender systems: technologies and research issues , 2008, ICEC.

[12]  Ilkka Tuomi,et al.  Data is more than knowledge: implications of the reversed knowledge hierarchy for knowledge management and organizational memory , 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

[13]  Francesco Ricci,et al.  Context-Aware Recommender Systems , 2011, AI Mag..

[14]  Ofer Arazy,et al.  Improving Social Recommender Systems , 2009, IT Professional.

[15]  Gediminas Adomavicius,et al.  Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.

[16]  Ernesto Damiani,et al.  CR2S: Competency Roadmap to Strategy , 2011, Wissensmanagement.

[17]  Dorothy E. Leidner,et al.  Studying Knowledge Management in Information Systems Resarch: Discourses and Theoretical Assumptions , 2002, MIS Q..