Search Results

Now showing 1 - 10 of 222
  • Book Part
    Drawing a Portrait of Refugee Representation in Turkish Newspapers: A Framing Analysis of Hürriyet and Sabah
    (Bloomsbury Publishing Plc., 2020) Özoran, Beris Artan; Seyidov, Ilgar
  • Book Part
    Impacts of Economic and Institutional Dynamics on New Media Applications Penetration: Sample Country Analysis
    (IGI Global, 2020) Benli,H.E.
    New media applications become vital in order to compete as a country and as human beings. Despite the positive impact and increasing global usage of new media applications, some countries have low new media applications penetration when others have high. This should be analyzed and evaluated within the countries' own macroeconomic and institutional dynamics. Dynamic motives as institutional, macroeconomic, infrastructural, and political factors heavily divined and also easily damage the current and future conditions of the countries. This work conceptually and concretely investigated the role of specific factors. Macroeconomic factors are determined as population, GDP growth rate, and population rate of the countries. Institutional factors are evaluated through political stability index, rule of law index, and civil liberties index of each sample country. Infrastructural factors, business environment, and investments were analyzed with looking at international internet bandwidth per internet users and competitiveness data for countries. © 2021, IGI Global.
  • Book Part
    Citation - Scopus: 2
    A Multi Source Graph-Based Hybrid Recommendation Algorithm
    (Springer Science and Business Media Deutschland GmbH, 2021) Kurt,Z.; Gerek,Ö.N.; Bilge,A.; Özkan,K.
    Images that widely exist on e-commerce sites, social networks, and many other applications are one of the most important information resources integrated into the recently deployed image-based recommender systems. In the latest studies, researchers have jointly considered ratings and images to generate recommendations, many of which are still restricted to limited information sources, sources namely, ratings with another input data, or which require the pre-existence of domain knowledge to generate recommendations. In this paper, a new graph-based hybrid framework is introduced to generate recommendations and overcome these challenges. Firstly, a simple overview of the framework is provided and, then, two different information sources (visual images and numerical ratings) are utilized to describe how the proposed framework can be developed in practice. Furthermore, the users’ visual preferences are determined based on which item they have already purchased. Then, each user is represented as a visual feature vector. Finally, the similarity factors between the users or items are evaluated from the user visual-feature or item visual-feature matrices, to be included the proposed algorithm for more efficiency. The proposed hybrid recommendation method depends on a link prediction approach and reveals the significant potential for performance improvement in top-N recommendation tasks. The experimental results demonstrate the superior performance of the proposed appraoch using three quality measurements - hit-ratio, recall, and precision - on the three subsets of the Amazon dataset, as well as its flexibility to incorporate different information sources. Finally, it is concluded that hybrid recommendation algorithms that use the integration of multiple types of input data perform better than previous recommendation algorithms that only utilize one type of input data. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
  • Book Part
    Religion, Education, and the Turkish Constitution: a Critical Assessment
    (Ashgate Publishing Ltd, 2012) Koeker, Levent
    [No Abstract Available]
  • Book Part
    Kinetics of Co2 Capture by Carbon Dioxide Binding Organic Liquids
    (Springer international Publishing Ag, 2016) Orhan, Ozge Yuksel; Kayi, Hakan; Alper, Erdogan
    [No Abstract Available]
  • Book Part
    Citation - Scopus: 1
    Design of Recycled Aluminium (AA7075)-Based Composites Reinforced with Nano Filler NiAl Intermetallic and Nano Niobium Powder Produced with Vacuum Arc Melting for Aeronautical Applications
    (CRC Press, 2023) Kasar,C.; Aslan,O.; Gatamorta,F.; Miskioglu,I.; Bayraktar,E.
    In the frame of the common research project, the mechanical properties of recycled gas atomized scrap aluminium (AA 7075)-based composites reinforced with nano filler NiAl intermetallic and niobium (Nb) elements have been evaluated. Firstly, the mixture was homogenized by means of a ball milling process for 4 hours. After cold compaction of the compositions, the final specimens have been produced with “vacuum arc melting” for aeronautical applications. Static and dynamic compression tests have been conducted. Additional tensile tests have also been carried out. Experimental results were compared with a finite element method. The interface and microstructure of these composites have also been evaluated by a scanning electron microscopy. © 2024 selection and editorial matter, N. M. Nurazzi, E. Bayraktar, M. N. F. Norrrahim, H. A. Aisyah, N. Abdullah, and M. R. M. Asyraf; individual chapters, the contributors.
  • Book Part
    Citation - Scopus: 2
    Hydrogen Generation From Food Industry and Biodiesel Wastes
    (Elsevier Inc., 2013) Nishio,N.; Nakashimada,Y.
    [No abstract available]
  • Book Part
    Citation - Scopus: 2
    A Study on Influencers' Role in the Buying-Decision Process Within the Context of Word-Of Marketing: A Comparison Between Usa and Turkey
    (IGI Global, 2020) Medani,T.A.; Şahin,C.; Esiyok,E.
    The aim of this study is to explore influencers' role in buying-decision process within the context of word-of-mouth marketing and how it differs among different countries. Therefore, to make a comparison between the two countries, United States of America and Turkey are chosen. In the study, in-depth interview technique was used to obtain the data. Interviews were conducted with 20 participants who used Instagram and followed at least one influencer. Ten participants were from United States of America and 10 were from Turkey. In total, three themes were identified. Following the analysis, it was found that trust is very important. If the followers did not trust influencers, they would not prefer to buy or try the product that they have suggested. © 2021, IGI Global.
  • Book Part
    Citation - Scopus: 1
    Eliminating Economic Violence Against Women for Gender Equality Empowering Women Through Human Rights Based Approach
    (Routledge, 2019) Simsek, Altin Asli
    [No Abstract Available]