Abstract:
An adaptive correlation-based group recommendation system or recommender is proposed which takes the members' interactions into account. Thus, the proposed method can pre...Show MoreMetadata
Abstract:
An adaptive correlation-based group recommendation system or recommender is proposed which takes the members' interactions into account. Thus, the proposed method can predict members' relationships by acquiring the correlations between a group and its members. With the predicted correlations, each member's weight can be estimated. Finally, the group's ratings of those non-rated items can be predicted by merging members' ratings and their estimated weights. Without complex computation, the proposed group recommendation system can achieve accurate predictions of the group's ratings. Therefore, it suits for helping a group to make decisions since its members have different opinions for selecting multimedia contents.
Published in: 2011 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS)
Date of Conference: 07-09 December 2011
Date Added to IEEE Xplore: 06 February 2012
ISBN Information: