A Genetic Algorithm Approach for Group Recommender System Based on Partial Rankings

A Genetic Algorithm Approach for Group Recommender System Based on Partial Rankings

Many recommender systems frequently make suggestions for group consumable items to the individual users. There has been much work done in group recommender systems (GRSs) with full ranking, but partial ranking (PR) where items are partially ranked still remains a challenge. The ultimate objective of...

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Bibliographic Details
Main Authors: Meena Ritu, Bharadwaj Kamal K.
Format: Article
Language:English
Published: De Gruyter 2018-06-01
Series:Journal of Intelligent Systems
Subjects:
group recommender systems
partial ranking
rank aggregation
genetic algorithm
bucket order
Online Access:https://doi.org/10.1515/jisys-2017-0561

Internet

https://doi.org/10.1515/jisys-2017-0561

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