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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 ...
Synthesis, stability, density, viscosity of ethylene glycol-based ternary hybrid nanofluids: Experimental investigations and model-prediction using modern machine learning techniques
(22.02.2022)
A direct sol-gel technique was utilized to produce rGO-Fe3O4-TiO2 ternary hybrid nanocomposites to produce ethylene glycol (EG) based stable nanofluids, characterized by energy-dispersive X-ray, X-ray dispersion, Fourier ...
An investigation of the effect of acrylamide on fracture healing in rats.
(14.02.2022)
ABSTRACT
BACKGROUND: The aim of this study was to investigate the effects of acrylamide (AA) on fracture healing histologically, biochemically, and radiologically in a rat femur fracture model.
METHODS: Scanning electron ...
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 ...
ÇEVRE VE ENERJİ SEMPOZYUMU
(SİVAS CUMHURİYET ÜNİVERSİTESİ, 2022)
https://www.cumhuriyet.edu.tr/etkinlik/10963-cevre-ve-enerji-sempozyumu#scu-3
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 ...