Information access research (and development) sometimes makes use of gender, whether
to report on the demographics of participants in a user study, as inputs to personalized …

The emergence of sophisticated Artificial Intelligence (AI) and machine learning tools poses
a challenge to archives and records professionals, who are accustomed to understanding …

Mouse dynamics, information on user's interaction with a computer mouse, are in vogue in
machine learning for purposes such as recommendations, personalization, prediction of …

Sensing and processing peripheral input is a ubiquitous capability of personal computers.
Text entry on physical and virtual keyboards, mouse pointer motion, and touchscreen …

Session-replay bots are believed to be the latest and most sophisticated generation of web
bots, and they are also very difficult to defend against. Combating session-replay bots is …

The mouse is a pervasive input device used for a wide range of interactive applications.
However, computational modelling of mouse behaviour typically requires time-consuming …

Personalized information systems are information-filtering systems that endeavor to tailor
information-exchange functionality to the specific interests of their users. The ability of these …

Within the online advertising ecosystem, viewability is defined as the metric that measures if
an ad impression had the chance of being viewable by a potential consumer. Although this …

The growing interest in bot detection can be attributed to the fact that fraudulent actions
performed by bots cause surprisingly high economical damage. State-of-the-art bots aim at …

This chapter explores personalization and its connection to the philosophical concept of the
person, arguing that a deeper understanding of the human person and a good society is …