A Hybrid Probabilistic Multiobjective Evolutionary Algorithm for Commercial Recommendation Systems

As big-data-driven complex systems, commercial recommendation systems (RSs) have been widely used in such companies as Amazon and Ebay. Their core aim is to maximize total profit, which relies on recommendation accuracy and profits from recommended items. It is also important for them to treat new i...

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Vydáno v:	IEEE transactions on computational social systems Ročník 8; číslo 3; s. 589 - 598
Hlavní autoři:	Wei, Guoshuai, Wu, Quanwang, Zhou, Mengchu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.06.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Accuracy Cold start Complex systems Evolutionary algorithms Evolutionary computation Genetic algorithms Genetics Linear programming Measurement multiobjective evolutionary algorithm (MOEA) Optimization Pareto optimization Probabilistic logic profit recommendation system (RS) Recommender systems
ISSN:	2329-924X, 2373-7476
On-line přístup:	Získat plný text
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