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Recent years have seen digital advertising grow to the point where
it will soon overtake television as the no. 1 advertising medium.
In the online environment, consumers interact and share their
thoughts on brands and their experiences using them. These
electronic word-of-mouth (eWOM) communications have become a very
important to the success of products. In today's cluttered
environment, it is especially important to study how the practice
of eWOM advertising operates, and how marketers can influence eWOM
in social media and other online sites. This volume starts with a
chapter on the current state of knowledge on eWOM and then turns
its attention to current research articles on a variety of eWOM
formats. These include the posting of selfies on social media, the
influence of review types on consumer perception and purchase
intention, the effects of preannouncement messages, and how
user-generated content can be used to induce effectiveness of eWOM
on social media. The relationship of eWOM to brand building is
emphasized in several of the chapters. This book was originally
published as a special issue of the International Journal of
Advertising.
Recent years have seen digital advertising grow to the point where
it will soon overtake television as the no. 1 advertising medium.
In the online environment, consumers interact and share their
thoughts on brands and their experiences using them. These
electronic word-of-mouth (eWOM) communications have become a very
important to the success of products. In today's cluttered
environment, it is especially important to study how the practice
of eWOM advertising operates, and how marketers can influence eWOM
in social media and other online sites. This volume starts with a
chapter on the current state of knowledge on eWOM and then turns
its attention to current research articles on a variety of eWOM
formats. These include the posting of selfies on social media, the
influence of review types on consumer perception and purchase
intention, the effects of preannouncement messages, and how
user-generated content can be used to induce effectiveness of eWOM
on social media. The relationship of eWOM to brand building is
emphasized in several of the chapters. This book was originally
published as a special issue of the International Journal of
Advertising.
This book gathers papers presented at the 13th International
Conference on Genetic and Evolutionary Computing (ICGEC 2019),
which was held in Qingdao, China, from 1st to 3rd, November 2019.
Since it was established, in 2006, the ICGEC conference series has
been devoted to new approaches with a focus on evolutionary
computing. Today, it is a forum for the researchers and
professionals in all areas of computational intelligence including
evolutionary computing, machine learning, soft computing, data
mining, multimedia and signal processing, swarm intelligence and
security. The book appeals to policymakers, academics, educators,
researchers in pedagogy and learning theory, school teachers, and
other professionals in the learning industry, and further and
continuing education.
This volume of Advances in Intelligent Systems and Computing
highlights papers presented at the 11th International Conference on
Genetic and Evolutionary Computing (ICGEC 2017). Held from 6 to 8
November 2017 in Kaohsiung, Taiwan, the conference was co-sponsored
by Springer, Fujian University of Technology in China, National
University of Kaohsiung, Harbin Institute of Technology, National
Kaohsiung University of Applied Sciences, and VSB -Technical
University of Ostrava. The conference was intended as an
international forum for researchers and professionals engaged in
all areas of genetic computing, intelligent computing, evolutionary
and grid computing.
Kernel Learning Algorithms for Face Recognition covers the
framework of kernel based face recognition. This book discusses the
advanced kernel learning algorithms and its application on face
recognition. This book also focuses on the theoretical deviation,
the system framework and experiments involving kernel based face
recognition. Included within are algorithms of kernel based face
recognition, and also the feasibility of the kernel based face
recognition method. This book provides researchers in pattern
recognition and machine learning area with advanced face
recognition methods and its newest applications.
Kernel Learning Algorithms for Face Recognition covers the
framework of kernel based face recognition. This book discusses the
advanced kernel learning algorithms and its application on face
recognition. This book also focuses on the theoretical deviation,
the system framework and experiments involving kernel based face
recognition. Included within are algorithms of kernel based face
recognition, and also the feasibility of the kernel based face
recognition method. This book provides researchers in pattern
recognition and machine learning area with advanced face
recognition methods and its newest applications.
The book presents selected papers from the 17th International
Conference on Intelligent Information Hiding and Multimedia Signal
Processing, in conjunction with the 14th International Conference
on Frontiers of Information Technology, Applications and Tools,
held on October 29 – 31, 2021, in Kaohsiung, Taiwan. It is
divided into two volumes and discusses latest research outcomes in
the field of information technology (IT) including but not limited
to information hiding, multimedia signal processing, big data, data
mining, bioinformatics, database, industrial and Internet of
things, and their applications.
This book includes selected papers from the fourth International
Conference on Smart Vehicular Technology, Transportation,
Communication and Applications (VTCA 2021), held in Chengdu City,
Sichuan Province, China, during May 22-24, 2021. The conference is
technically co-sponsored by Southwest Jiaotong University, Shandong
University of Science and Technology, Fujian University of
Technology, and Minjiang University. The book includes research
works from engineers, researchers, and practitioners interested in
the advances and applications in the field of vehicle technology
and communication. The book covers four tracks, namely (1)
vehicular networking security, (2) vehicular electronics, (3)
intelligent transportation systems, and (4) smart vehicular
communication networks and telematics.
The book presents selected papers from the 17th International
Conference on Intelligent Information Hiding and Multimedia Signal
Processing, in conjunction with the 14th International Conference
on Frontiers of Information Technology, Applications and Tools,
held on October 29 - 31, 2021, in Kaohsiung, Taiwan. It is divided
into two volumes and discusses latest research outcomes in the
field of information technology (IT) including but not limited to
information hiding, multimedia signal processing, big data, data
mining, bioinformatics, database, industrial and Internet of
things, and their applications.
The book is a collection of high-quality research papers presented
at 7th Euro-China Conference on Intelligent Data Analysis and
Applications, hosted by Communication University of Zhejiang, China
and technically co-sponsored by Shandong University of Science and
Technology, China; Zhejiang Lab, China; and Fujian University of
Technology, China. The book covers areas like intelligent data
analysis, computational intelligences, signal processing, and all
associated applications of artificial intelligence.
This book contains selected papers presented at ICGEC 2021, the
14th International Conference on Genetic and Evolutionary
Computing, held from October 21-23, 2021 in Jilin City, China. The
conference was technically co-sponsored by Springer, Northeast
Electric Power University Fujian University of Technology, Shandong
University of Science and Technology, and Western Norway University
of Applied Sciences. It is intended as an international forum for
the researchers and professionals in all areas of genetic and
evolutionary computing. And the readers may learn the up-to-date
techniques of the mentioned topics, including swarm intelligence,
artificial intelligence, information hiding and data mining
techniques, which can help them to bring new ideas or apply the
designed approaches from the collected papers to their professional
jobs.
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