Preference elicitation techniques for group recommender systems

Inma Garcia, Sergio Pajares, Laura Sebastia, Eva Onaindia
2012 Information Sciences  
Elsevier García García, I.; Pajares Ferrando, S.; Sebastiá Tarín, L.; Onaindia De La Rivaherrera, E. (2012). Preference elicitation techniques for group recommender systems. Information Sciences. 189:155-175. Abstract A key issue in group recommendation is how to combine the individual preferences of different users that form a group and elicit a profile that accurately reflects the tastes of all members in the group. Most group recommender systems (GRSs) make use of some sort of method for
more » ... egating the preference models of individual users to elicit a recommendation that is satisfactory for the whole group. In general, most GRSs offer good results, but each of them have only been tested in one application domain. This paper describes a domain-independent GRS that has been used in two different application domains. In order to create the group preference model, we select two techniques that are widely used in other GRSs and we compare them with two novel techniques. Our aim is to come up with a model that weighs the preferences of all the individuals to the same extent in such a way that no member in the group is particularly satisfied or dissatisfied with the final recommendations.
doi:10.1016/j.ins.2011.11.037 fatcat:4dykdtusije45ddlzl7obwood4