Modelling Hierarchical Relationships in Group Recommender Systems

Group recommender systems have become systems of great interest in the CBR community. In previous papers we have described and validated a social recommendation model that solves different group recommendation challenges using knowledge from social networks. In this paper we have run across two identified limitations of our model, unprofiled users and “hierarchical relations” within a group, and have proposed and validated CBR solutions for them.

[1]  Derek G. Bridge,et al.  Case-Based Aggregation of Preferences for Group Recommenders , 2012, ICCBR.

[2]  J. R. French,et al.  The bases of social power. , 1959 .

[3]  F. Pratto,et al.  Social Dominance: An Intergroup Theory of Social Hierarchy and Oppression , 1999 .

[4]  Derek G. Bridge,et al.  A Case-Based Solution to the Cold-Start Problem in Group Recommenders , 2012, ICCBR.

[5]  Juan A. Recio-García,et al.  Development of a group recommender application in a Social Network , 2014, Knowl. Based Syst..

[6]  Nicholas A. Christakis,et al.  Social contagion theory: examining dynamic social networks and human behavior , 2011, Statistics in medicine.

[7]  Enric Plaza,et al.  Case-Based Sequential Ordering of Songs for Playlist Recommendation , 2006, ECCBR.

[8]  John e. Jones.  Thomas-Kilmann Conflict Mode Instrument , 1976 .

[9]  Eric Gilbert,et al.  Predicting tie strength with social media , 2009, CHI.

[10]  A. Hare,et al.  Individuals and Groups in Organizations , 1998 .

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

[12]  Judith Masthoff,et al.  Group Modeling: Selecting a Sequence of Television Items to Suit a Group of Viewers , 2004, User Modeling and User-Adapted Interaction.

[13]  Joseph A. Konstan,et al.  Understanding and improving automated collaborative filtering systems , 2000 .

[14]  Barry Smyth,et al.  Case-based recommender systems , 2005, The Knowledge Engineering Review.

[15]  Juan A. Recio-García,et al.  An architecture and functional description to integrate social behaviour knowledge into group recommender systems , 2014, Applied Intelligence.

[16]  Francesco Ricci,et al.  Case-Based Recommender Systems: A Unifying View , 2003, ITWP.

[17]  Judith Masthoff,et al.  In pursuit of satisfaction and the prevention of embarrassment: affective state in group recommender systems , 2006, User Modeling and User-Adapted Interaction.

[18]  Markus Schaal,et al.  Opinionated Product Recommendation , 2013, ICCBR.

[19]  Guillermo Jiménez-Díaz,et al.  Social factors in group recommender systems , 2013, TIST.