An enhanced aggregation method considering deviations for a group recommendation

•An enhanced aggregation method named the upward leveling (UL) is proposed.•The UL considers the deviation as the most important element.•The deviation is combined with average and approval voting method in the UL.•The deviation plays an important role in group recommendation. The goal of a group re...

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Bibliographic Details
Published in:Expert systems with applications 2018-03, Vol.93, p.299-312
Main Authors: Seo, Young-Duk, Kim, Young-Gab, Lee, Euijong, Seol, Kwang-Soo, Baik, Doo-Kwon
Format: Article
Language:English
Subjects:
Agglomeration
Aggregation method
Approval voting
Average
Deviation
Group recommendation
Groups
Preferences
Upward leveling
Voting
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Summary:•An enhanced aggregation method named the upward leveling (UL) is proposed.•The UL considers the deviation as the most important element.•The deviation is combined with average and approval voting method in the UL.•The deviation plays an important role in group recommendation. The goal of a group recommendation involves providing appropriate information for all members in a group. Most extant studies use aggregation methods to determine group preferences. An aggregation method is an approach that aggregates individual preferences of group members to recommend items to a group. Previous studies on aggregation methods only consider high averages, counts, and rankings to provide recommendations. However, the most important component of a group recommendation involves ensuring that majority of the members in a group are satisfied with the recommended results. Therefore, it is necessary to consider the deviation as an important element in aggregation methods. The present study involves proposing an upward leveling (UL) aggregation method that considers deviations for group recommendations. The UL recommends items with low deviations and high averages in conjunction with frequency of positive rating counts for group members. Furthermore, the effectiveness of the UL is validated to perform a comparative evaluation with existing aggregation methods by using the normalized discounted cumulative gain (NDCG) and diversity. The results indicate that the UL outperforms all the baselines and that the deviation plays an important role in the aggregation method.
ISSN:0957-4174
1873-6793
DOI:10.1016/j.eswa.2017.10.027