This book includes the proceedings of the first workshop on Recommender Systems in Fashion 2019. It presents a state of the art view of the advancements within the field of recommendation systems with focused application to e-commerce, retail and fashion. The volume covers contributions from academic as well as industrial researchers active within this emerging new field.
Recommender Systems are often used to solve different complex problems in this scenario, such as social fashion-based recommendations (outfits inspired by influencers), product recommendations, or size...
This book includes the proceedings of the first workshop on Recommender Systems in Fashion 2019. It presents a state of the art view of the ...
This edited book provides techniques which address various aspects of big data collection and analysis from social media platforms and beyond. It covers efficient compression of large networks, link prediction in hashtag graphs, visual exploration of social media data, identifying motifs in multivariate data, social media surveillance to enhance search and rescue missions, recommenders for collaborative filtering and safe travel plans to high risk destinations, analysis of cyber influence campaigns on YouTube, impact of location on business rating, bibliographical and co-authorship...
This edited book provides techniques which address various aspects of big data collection and analysis from social media platforms and beyond...
This book examines modern paradigms of disease control based on social network surveillance applications, including electronic sentinel surveillance and wireless application-based surveillance science. It also highlights topics that integrate statistical and epidemiological sciences with surveillance practice and, in order to reflect the evolution of social networking practices, discusses topics concerning the challenges for surveillance theory and practice.
In turn, the book goes a step further by providing insights on how we need to analyse epidemiological...
This book examines modern paradigms of disease control based on social network surveillance applications, including electronic sent...
This book examines modern paradigms of disease control based on social network surveillance applications, including electronic sentinel surveillance and wireless application-based surveillance science. It also highlights topics that integrate statistical and epidemiological sciences with surveillance practice and, in order to reflect the evolution of social networking practices, discusses topics concerning the challenges for surveillance theory and practice.
In turn, the book goes a step further by providing insights on how we need to analyse epidemiological...
This book examines modern paradigms of disease control based on social network surveillance applications, including electronic sent...
This book includes chapters which discuss effective and efficient approaches in dealing with various aspects of social media analysis by using machine learning techniques from clustering to deep learning. A variety of theoretical aspects, application domains and case studies are covered to highlight how it is affordable to maximize the benefit of various applications from postings on social media platforms. Social media platforms have significantly influenced and reshaped various social aspects. They have set new means of communication and interaction between people, turning the...
This book includes chapters which discuss effective and efficient approaches in dealing with various aspects of social media analysis by usin...
This book offers an excellent source of knowledge for readers who are interested in keeping up with the developments in the field of cyber security and social media analysis. It covers the possibility of using augmented reality to monitor cyber security feeds in a multitasking environment. It describes a real-time scheduled security scanner. E-commerce concept labeling is tackled by introducing a lightweight global taxonomy induction system. Blogsphere analytics and online video narratives and networks are explored. The effect of global and local network structure, credibility based...
This book offers an excellent source of knowledge for readers who are interested in keeping up with the developments in the field of cyber security...
The U.S. no longer has a free marketplace of ideas. Instead, the marketplace is saturated with covert foreign-backed disinformation. And despite the ethical obligations to act, successive administrations have done nothing. Additionally, the decline in trust has left the door open for populism and illiberalism to enter. Some believe the very fabric of American liberalism is at stake. So what are the ethical responsibilities of the executive branch to counter covert campaigns such as the one coming from Russian-backed disinformation circulating within the US? Why has the government...
The U.S. no longer has a free marketplace of ideas. Instead, the marketplace is saturated with covert foreign-backed disinformation. And despite ...
This book offers an excellent source of knowledge for readers who are interested in keeping up with the developments in the field of cyber security and social media analysis. It covers the possibility of using augmented reality to monitor cyber security feeds in a multitasking environment. It describes a real-time scheduled security scanner. E-commerce concept labeling is tackled by introducing a lightweight global taxonomy induction system. Blogsphere analytics and online video narratives and networks are explored. The effect of global and local network structure, credibility based...
This book offers an excellent source of knowledge for readers who are interested in keeping up with the developments in the field of cyber security...
Community detection in social networks is an important but challenging problem. This book develops a new technique for finding communities that uses both structural similarity and attribute similarity simultaneously, weighting them in a principled way. The results outperform existing techniques across a wide range of measures, and so advance the state of the art in community detection. Many existing community detection techniques base similarity on either the structural connections among social-network users, or on the overlap among the attributes of each user. Either way loses useful...
Community detection in social networks is an important but challenging problem. This book develops a new technique for finding communities that use...
