A study on the role of flexible preferences in group recommendations

Abstract

As online group activities have increased exponentially, the need for group recommender systems has also increased profoundly. The majority of the recommender systems are designed to recommend to user groups using fixed size preferences of the users. This paper examines the importance of flexible size user preferences in group recommender systems. We propose a variable size preference model in group recommendations both by considering the order in the preferences and also without considering the order. We also study the effect of variable size preferences in group recommendations. Experimental results show that our proposed flexible preference model has increased the overall group satisfaction to a great extent. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.