Considering user dynamic preferences for mitigating negative effects of long-tail in recommender systems-Reference-Cited by-同舟云学术

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Considering user dynamic preferences for mitigating negative effects of long-tail in recommender systems

Published:2024-05 Issue: Volume:669 Page:120558
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Shafiloo Reza,Kaedi Marjan^ORCID,Pourmiri Ali

Publisher

Elsevier BV

Reference30 articles.

1. A survey on fairness-aware recommender systems;Jin;Inf. Fusion,2023

2. Multi-objective optimization for long tail recommendation;Wang;Knowl.-Based Syst.,2016

3. Recommending the long tail items through personalized diversification;Hamedani;Knowl.-Based Syst.,2019

4. Personalized recommendation based on evolutionary multi-objective optimization [research frontier];Zuo;IEEE Comput. Intell. Mag.,2015

5. The long tail of recommender systems and how to leverage it;Park,2008

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