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Multi-Objective Recommendations

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021
The development of recommender systems usually deal with single-objective optimizations, such as minimizing prediction errors or maximizing the ranking quality. There is an emerging demand in multi-objective recommendations in which the recommendation list can be generated by optimizing multiple objectives.
Yong Zheng 0001, David (Xuejun) Wang
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Multi-objective evolution strategy for multimodal multi-objective optimization

Applied Soft Computing, 2021
Abstract In the past decades, various effective and efficient multi-objective evolutionary algorithms (MOEAs) have been proposed for solving multi-objective optimization problems. However, existing MOEAs cannot satisfactorily address multimodal multi-objective optimization problems that demand to find multiple groups of optimal solutions ...
Kai Zhang 0002   +3 more
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Multi-Objective Clustering Ensemble

2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06), 2006
In this paper we present an algorithm for cluster analysis that integrates aspects from cluster ensemble and multi-objective clustering. The algorithm is constituted by a Pareto-based multi-objective genetic algorithm that uses clustering validation measures as the objective functions.
Katti Faceli   +2 more
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Progressive Multi-Objective Optimization

International Journal of Information Technology & Decision Making, 2014
This paper introduces progressive multi-objective optimization (PMOO), a novel technique to include the decision maker's preferences into the multi-objective optimization process. PMOO integrates a well-known method for multi-criteria decision making (PROMETHEE) into a simple multi-objective metaheuristic by maintaining and updating a small reference ...
Kenneth Sörensen, Johan Springael
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Multi-Objective Scheduling

2009
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Dutot, Pierre-François   +3 more
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