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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 ...
Treating adverse effects of blockbuster bias on beyond-accuracy quality of personalized recommendations
(Elsevier, 2022)
Collaborative filtering recommendation algorithms are vulnerable against the popularity bias, including the most popular items repeatedly into the produced ranked lists. However, the research on popularity bias focuses ...
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 ...
Binary multicriteria collaborative filtering
(Scientific and technological research council of turkey, 30.11.2020)
Collaborative filtering is specialized in suggesting appropriate products and services to the users concerning personal characteristics and past preferences without requiring any effort of users. It might be more efficient ...
Hydrological Considerations in Designing Roadways: Avoiding Hydroplaning
(2022)
Safety on highways is essential, but high water levels on lanes risk that. Drainage structures are mostly concerned with water spread at sideways and ignore the build-up flow on the surface. This study addresses whether ...
INTERNATIONAL ENERGY DAYS SYMPOSIUM
(SİVAS CUMHURİYET ÜNİVERSİTESİ, 2022)
This year, we are organizing Energy Days "Internationally" in 2022.And also, it is held in accordance with the criteria of Associate Professorship and all academic promotions based in Turkish“17.01.2020 tarih ve 31011 ...
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 ...
5. INTERNATIONAL PCFM CONFERENCE
(5. INTERNATIONAL PCFM CONFERENCE, 2022)
5th International Conference on Physical Chemistry & Functional Materials
23-25 June 2022
Sivas Cumhuriyet University
SİVAS
Editorial: Advanced green and sustainable chemical and physical technologies for resources recycling of solid wastes
(2023)
To prevent CO2-induced climate change, the world is quickly moving toward a carbon-neutral society by using electric vehicles, renewable energy sources, and other energy sources, which demand more resources than traditional ...
Advanced Green and Sustainable Chemical and Physical Technologies for Resources Recycling of Solid Wastes
(Frontiers Media SA, 2 Mart 202)
To prevent CO2-induced climate change, the world is quickly moving toward a carbon- neutral society by using electric vehicles, renewable energy sources, and other energy sources, which demand more resources than traditional ...