One of the most essential parts of any recommender system is personalization– how acceptable the recommendations are from the user’s perspective. However, in many real-world applications, there are other stakeholders whose needs and interests should be ...

With billions of users, social networks have become the go to platform for information diffusion for news media outlets. Lately, certain entities (users and/or organizations) have been active in generating misinformation in order to attract users to ...

The scientific literature is a large information network linking various actors (laboratories, companies, institutions, etc.). The vast amount of data generated by this network constitutes a dynamic heterogeneous attributed network (HAN), in which new ...

Complex networks are a powerful paradigm to model complex systems. Specific network models, e.g., multilayer networks, temporal networks, and signed networks, enrich the standard network representation with additional information to better capture real-...

The goal of this work is to systematically extract information from hacker forums, whose information would be in general described as unstructured: the text of a post is not necessarily following any writing rules. By contrast, many security initiatives ...

The study of information-sharing cascades has been a constant endeavor since the emergence of social networks. Internet memes which mostly consist of catchphrases, viral images, or small videos shared over the social network are notorious for attracting ...

The rise of big data frameworks has given website administrators the ability to track user clickstream data with more detail than ever before. These clickstreams can represent the user’s intent and purpose in visiting the site. While existing work has ...

Advancements in technology have enabled society to become increasingly globalised, both with regard to physical migration, as well as through the use of information and communication technologies (ICTs) to enable the maintenance of transnational ties. ...

There are many online courses and contents on the web, so each learner can find the best one and choose it. However, sometimes many online courses are poorly accessible due to the limits of the search engines on the web. The advent of intelligent ...

The Entity Linking (EL) task is concerned with linking entity mentions in a text collection with their corresponding knowledge-base entries. Despite the progress made in the evaluation of EL systems, there is still much work to be done, where this Ph.D. ...

It is a streaming world: a new generation of Web Applications is pushing the Web infrastructure to evolve and process data as soon as they arrive. However, the Web of Data is not appealing to the growing number of Web Applications demanding to tame Data ...

The potentially detrimental effects of cyberbullying have led to the development of numerous automated, data–driven approaches, with an emphasis on classification accuracy. Cyberbullying, as a form of abusive online behavior, although not well–defined, ...

Eye tracking provides an effective solution to users’ attention, interest, and engagement. While gaze estimation based on a standard camera can be versatile, it remains challenging to achieve an accurate, robust, and scalable solution on mobile devices. ...

Visual attention and eye movements in primates have been widely shown to be guided by a combination of stimulus-dependent or 'bottom-up' cues, as well as task-dependent or 'top-down' cues. Both the bottom-up and top-down aspects of attention and eye ...

In this paper, we study the effectiveness of personalized persuasive interventions to change urban travelers’ mobility behavior and nudge them towards more sustainable transport choices. More specifically, we embed a set of persuasive design elements in ...

MAAS as a mobility model leans on the idea that a gap between private and public transport systems needs to be bridged as well as on a city, intercity, national and supranational level. The current situation is felt problematic due to the fragmented ...

Looking ahead, in about 20 years, there is likely to be urban air mobility in larger cities across the globe. If economic predictions come true, thousands of air taxi flights will take place daily in capital cities – not only in megacities. Noise ...

Tourist trip recommender systems (RSs) support travelers in identifying the most attractive points of interests (POIss) and combine the POIss along a route for single- or multi-day trips. Most RSs consider only the quality of POIss when searching for ...

Sustainable mobility is one of the main goals of both European and United Nations plans for 2030. The concept of Smart Cities has arisen as a way to achieve this goal by leveraging IoT interconnected devices to collect and analyse large quantities of ...

Managing the ever increasing road traffic congestion due to enormous vehicular growth is a big concern all over the world. Tremendous air pollution, loss of valuable time and money are the common consequences of traffic congestion in urban areas. IoT ...

Cities have entered the age of the sensor and located sensors everywhere over and under cities. The sensors monitor a host of factors that assess City operations and life such as air quality, noise, city services and traffic. Further, the sensors have “...

Smart technologies advancements, emerging markets competition and sustainability needs have radically changed tourism and transport sectors. The key features of this change are the exploitation of evolving Big Data in the business intelligence context, ...

Travel time estimates are highly useful in planning urban mobility events. This paper investigates the quality of travel time estimates in the Indian capital city of Delhi and the National Capital Region (NCR). Using Uber mobile and web applications, we ...

With the increasing availability of mobility-related data, such as GPS-traces, Web queries and climate conditions, there is a growing demand to utilize this data to better understand and support urban mobility needs. However, data available from the ...

Spam Bots have become a threat to online social networks with their malicious behavior, posting misinformation messages and influencing online platforms to fulfill their motives. As spam bots have become more advanced over time, creating algorithms to ...