Integrating information about the listener's cultural background when building music
recommender systems has recently been identified as a means to improve recommendation …

Provides an up-to-date analysis of big data and multi-agent systems The term Big Data
refers to the cases, where data sets are too large or too complex for traditional data …

As the digitization of travel industry accelerates, analyzing and understanding travelers'
behaviors becomes increasingly important. However, traveler data frequently exhibit high …

Due to the convergence of digital marketing and advertising efforts with variety of digital
devices like tablets, smart-phones, PCs, smart TVs and even wearable devices, tracking the …

We evaluate the impact of probabilistically-constructed digital identity data collected
between Sep. 2017 and Dec. 2017, approximately, in the context of Lookalike-targeted …

As the world becomes more and more digitized, we are now able to collect enormous
amounts of data about everything, from how customers shop for groceries to how Formula …

Companies around the world spent millions of dollars purchasing state-of-the-art network
intrusion detection system to protect their network infrastructure from cyberattacks. Yet, they …

Search engines and recommender systems have an important influence on the recruitment
process, both for recruiters and job seekers. For both, they determine which job …

In this paper, we propose a click simulation model capable of simulating users' interactions
with a search engine, in particular in the presence of user censoring. We illustrate the …

Due to the convergence of digital marketing and advertising efforts with variety of digital
devices like tablets, smartphones, PCs, smart TVs, and even wearable devices, tracking the …