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Investigating and counteracting popularity bias in group recommendations
(Elsevier, 2021)
Popularity bias is an undesirable phenomenon associated with recommendation algorithms where popular items tend to be suggested over long-tail ones, even if the latter would be of reasonable interest for individuals. Such ...
An entropy empowered hybridized aggregation technique for group recommender systems
(Elsevier, 15.03.2021)
Group recommender systems aim to suggest appropriate products/services to a group of users rather than individuals. These recommendations rely solely on determining group preferences, which is accomplished by an aggregation ...
Current Debates on Health Sciences 4
(Bilgin Kültür Sanat Yayınları, 2022)
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Current Debates on Health Sciences 4
(Bilgin Kültür Sanat Yayınları, 2022)
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Long term electricity load forecasting based on regional load model using optimization techniques: A case study
(Taylor&Francis, 2022)
Long-term load forecasting is a significant and complex topic in electric
distribution systems. Forecasters is need to proper forecasting methodologies
and smart solutions to minimize complexity. In this study, regional ...