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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 ...
Optimizing Non-linear Granular Layer Coefficients of a Flexible Pavement for Mechanistic-Empirical Method
(2021)
In recent years, mechanistic-empirical (M-E) design methods are preferred in the design of
flexible pavements instead of empirical methods using equations based on the road
performance tests. However, the calibration of ...
Effect of functional grading on the performance of flexible pavements
(2021)
Fatigue failure is an important type of pavement distress which is considered in the pavement design. In
this study, it is aimed to increase the fatigue strength of the pavement without using any additives. For this
purpose, ...
Novel automatic group identification approaches for group recommendation
(Elsevier, 2021)
Group recommender systems are specialized in suggesting preferable products or services to a group of users rather than an individual by aggregating personal preferences of group members. In such expert systems, the initial ...
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 ...
Effects of nano-sized titanium dioxide powder and ultraviolet light on superficial veins in a rabbit model
(Wroclaw Medical University, 2021)
Background. Titanium dioxide (TiO2) is widely used in many fields such as food, cosmetics, and paper industries. Studies on the photocatalytic properties of TiO2 on living tissue are limited.
Objectives. To examine the ...
Comparison of one-year patency rates of end-to-side and side-to-side anastomosis technique in proximal forearm region radial-cephalic fistulas
(Sage, 2021)
Objectives: In this study, the effects of anastomosis techniques on the results of patients with autogenous radialcephalic
proximal forearm fistula were investigated.
Methods: Patients who underwent radial-cephalic ...
Nanoparticles with PDT and PTT synergistic properties working with dual NIR-light source simultaneously
(2021)
A non-toxic nano system using a cleverly designed dual light can be an important treatment strategy in
cancer therapy. Here, we propose a unique concept of synergistic non-toxic nanoplatform, which
operates with dual ...