An extension of CHOICLA User Interfaces for Configurable Products

Configuration technologies are usually employed in closed settings where only single users (or small group of users) configure the corresponding products. However, in reality, there are many situations in which products need to be configured jointly by groups with many users. CHOICLA is a group decision making environment supporting decision scenarios in a domain-independent fashion. The current version of CHOICLA solely offers decisions for groups on non-configurable alternatives. In this paper, we propose the extension of CHOICLA’s user interfaces supporting group-based configuration processes for complex products.

[1]  Albert Haag,et al.  Sales Configuration in Business Processes , 1998, IEEE Intell. Syst..

[2]  Alexander Felfernig,et al.  The VITA Financial Services Sales Support Environment , 2007, AAAI.

[3]  Alexander Felfernig,et al.  Recommendation Technologies for Configurable Products , 2011, AI Mag..

[4]  Martin Stettinger Choicla: towards domain-independent decision support for groups of users , 2014, RecSys '14.

[5]  Markus Stumptner,et al.  Configuring Large Systems Using Generative Constraint Satisfaction , 1998, IEEE Intell. Syst..

[6]  Judith Masthoff,et al.  Group Recommender Systems: Combining Individual Models , 2011, Recommender Systems Handbook.

[7]  Edward P. K. Tsang,et al.  Foundations of constraint satisfaction , 1993, Computation in cognitive science.

[8]  Anthony Jameson,et al.  More than the sum of its members: challenges for group recommender systems , 2004, AVI.

[9]  Alexander Felfernig,et al.  Towards Open Configuration , 2014, Configuration Workshop.

[10]  Alexander Felfernig,et al.  Counteracting Serial Position Effects in the CHOICLA Group Decision Support Environment , 2015, IUI.

[11]  Alexander Felfernig,et al.  Counteracting Anchoring Effects in Group Decision Making , 2015, UMAP.

[12]  Alexander Felfernig,et al.  INTELLIREQ: Intelligent Techniques for Software Requirements Engineering , 2014, ECAI.

[13]  Markus Stumptner,et al.  An Overview of Knowledge-Based Configuration , 1997, AI Commun..

[14]  Matthew Richardson,et al.  Building large knowledge bases by mass collaboration , 2003, K-CAP '03.