TY - GEN
T1 - Case-based aggregation of preferences for group recommenders
AU - Quijano-Sánchez, Lara
AU - Bridge, Derek
AU - Díaz-Agudo, Belén
AU - Recio-García, Juan A.
PY - 2012
Y1 - 2012
N2 - We extend a group recommender system with a case base of previous group recommendation events. We show that this offers a new way of aggregating the predicted ratings of the group members. Using user-user similarity, we align individuals from the active group with individuals from the groups in the cases. Then, using item-item similarity, we transfer the preferences of the groups in the cases over to the group that is seeking a recommendation. The advantage of a case-based approach to preference aggregation is that it does not require us to commit to a model of social behaviour, expressed in a set of formulae, that may not be valid across all groups. Rather, the CBR system's aggregation of the predicted ratings will be a lazy and local generalization of the behaviours captured by the neighbouring cases in the case base.
AB - We extend a group recommender system with a case base of previous group recommendation events. We show that this offers a new way of aggregating the predicted ratings of the group members. Using user-user similarity, we align individuals from the active group with individuals from the groups in the cases. Then, using item-item similarity, we transfer the preferences of the groups in the cases over to the group that is seeking a recommendation. The advantage of a case-based approach to preference aggregation is that it does not require us to commit to a model of social behaviour, expressed in a set of formulae, that may not be valid across all groups. Rather, the CBR system's aggregation of the predicted ratings will be a lazy and local generalization of the behaviours captured by the neighbouring cases in the case base.
UR - https://www.scopus.com/pages/publications/84866703988
U2 - 10.1007/978-3-642-32986-9_25
DO - 10.1007/978-3-642-32986-9_25
M3 - Conference proceeding
AN - SCOPUS:84866703988
SN - 9783642329852
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 327
EP - 341
BT - Case-Based Reasoning Research and Development - 20th International Conference, ICCBR 2012, Proceedings
T2 - 20th International Conference on Case-Based Reasoning, ICCBR 2012
Y2 - 3 September 2012 through 6 September 2012
ER -