Towards Virtual 3D Asset Price Prediction Based on Machine Learning

Korbel, Jakob J.; Siddiq, Umar H.; Zarnekow, Rüdiger

doi:10.3390/jtaer17030048

Cited by 14 publications

(6 citation statements)

References 69 publications

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“…The functional relationship between historical data and online data is a current issue that should be addressed with the help of data science and machine learning. The efficiency and performance of ML models depend on the quality and quantity of the training features [40,41]. Data preparation focuses on data identification, while data pre-processing refers to data selection, cleaning, and transformation [42].…”

Section: Machine Learning In E-commercementioning

confidence: 99%

The Future of Electronic Commerce in the IoT Environment

Lazić,

Milić,

Vukmirović

2024

JTAER

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The Internet of Things (IoT) was born from the fusion of virtual and physical space and became the initiator of many scientific fields. Economic sustainability is the key to further development and progress. To keep up with the changes, it is necessary to adapt economic models and concepts to meet the requirements of future smart environments. Today, the need for electronic commerce (e-commerce) has become an economic priority during the transition between Industry 4.0 and Industry 5.0. Unlike mass production in Industry 4.0, customized production in Industry 5.0 should gain additional benefits in vertical management and decision-making concepts. The authors’ research is focused on e-commerce in a three-layer vertical IoT environment. The vertical IoT concept is composed of edge, fog, and cloud layers. Given the ubiquity of artificial intelligence in data processing, economic analysis, and predictions, this paper presents a few state-of-the-art machine learning (ML) algorithms facilitating the transition from a flat to a vertical e-commerce concept. The authors also propose hands-on ML algorithms for a few e-commerce types: consumer–consumer and consumer–company–consumer relationships. These algorithms are mainly composed of convolutional neural networks (CNNs), natural language understanding (NLU), sequential pattern mining (SPM), reinforcement learning (RL for agent training), algorithms for clicking on the item prediction, consumer behavior learning, etc. All presented concepts, algorithms, and models are described in detail.

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Section: Machine Learning In E-commercementioning

confidence: 99%

The Future of Electronic Commerce in the IoT Environment

Lazić,

Milić,

Vukmirović

2024

JTAER

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“…The synthesis of the cluster accentuates the multidisciplinary nature of metaverse research and its capacity to influence a wide array of industries [110]. Central to the cluster are the keywords "AI" and "Machine Learning," which reflect the importance of intelligent systems and their potential to augment human capabilities within the metaverse [134,135]. These technologies have the potential to facilitate the creation of personalized experiences, enhance decision-making processes, and enable more efficient interactions between users and the digital environment.…”

Section: Topic Modelingmentioning

confidence: 99%

Mapping Metaverse Research: Identifying Future Research Areas Based on Bibliometric and Topic Modeling Techniques

Rejeb

Treiblmaier

2023

Information

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The metaverse represents an immersive digital environment that has garnered significant attention as a result of its potential to revolutionize various industry sectors and its profound societal impact. While academic interest in the metaverse has surged, a dearth of comprehensive review articles employing bibliometric techniques remains. This study seeks to address this gap by analyzing 595 metaverse-related journal articles using bibliometric and topic modeling techniques, marking the first of its kind to investigate the bibliometric profile of metaverse research. The findings reveal exponential growth in metaverse research since 2020, identifying major trends, prolific authors, and the most active journals in the field. A keyword co-occurrence analysis further uncovers four significant clusters of metaverse-related interests, highlighting its unique facets and underscoring its far-reaching implications across various sectors, including education, healthcare, retail, and tourism. This study emphasizes the need for more research and collaboration in advancing the metaverse field and presents 27 research questions for future investigation. This comprehensive analysis serves as a foundation for understanding the current state of metaverse research and its potential trajectory.

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“…However, as noted, the number of resources in these stores is finite and developers are limited by existing assets that need be altered and reconfigured to the desired specifications. The demand for such high-quality, editable and reconfigurable assets will only continue to rise in many industries, especially immersive content creation for the metaverse [15].…”

Section: Literature Reviewmentioning

confidence: 99%

A Proposed Meta-Reality Immersive Development Pipeline: Generative AI Models and Extended Reality (XR) Content for the Metaverse

Ratican¹,

Hutson²,

Wright³

2023

JILSA

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The realization of an interoperable and scalable virtual platform, currently known as the "metaverse," is inevitable, but many technological challenges need to be overcome first. With the metaverse still in a nascent phase, research currently indicates that building a new 3D social environment capable of interoperable avatars and digital transactions will represent most of the initial investment in time and capital. The return on investment, however, is worth the financial risk for firms like Meta, Google, and Apple. While the current virtual space of the metaverse is worth $6.30 billion, that is expected to grow to $84.09 billion by the end of 2028. But the creation of an entire alternate virtual universe of 3D avatars, objects, and otherworldly cityscapes

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Towards Virtual 3D Asset Price Prediction Based on Machine Learning

Cited by 14 publications

References 69 publications

The Future of Electronic Commerce in the IoT Environment

The Future of Electronic Commerce in the IoT Environment

Mapping Metaverse Research: Identifying Future Research Areas Based on Bibliometric and Topic Modeling Techniques

A Proposed Meta-Reality Immersive Development Pipeline: Generative AI Models and Extended Reality (XR) Content for the Metaverse

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