Remote heart rate estimation is the measurement of heart rate without any physical contact
with the subject and is accomplished using remote photoplethysmography (rPPG) in this …

'Explicit'and'implicit'feedback in recommender systems have been studied for many years,
as two relatively isolated areas. However many real-world systems involve a spectrum of …

In this chapter, we give an overview of the main Data Mining techniques used in the context
of Recommender Systems. We first describe common preprocessing methods such as …

Often software systems are developed by organizations consisting of many teams of
individuals working together. Brooks states in the Mythical Man Month book that product …

Recommender systems are firmly established as a standard technology for assisting users
with their choices; however, little attention has been paid to the application of the user model …

Recommender Systems are a prime example of the mainstream industry use of large-scale
machine learning and data mining. Diverse applications in areas such as e-commerce …

The Netflix Prize put the spotlight on the use of data mining and machine learning methods
for predicting user preferences. Many lessons came out of the competition. But since then …

Recommender systems have shown to be valuable tools for filtering, ranking, and discovery
in a variety of application domains such as e-commerce, media repositories or document …

When the Netflix Prize launched in 2006, it put a spotlight on the importance and use of
recommender systems in real-world applications. The competition provided many lessons …

Learning useful interactions between input features is crucial for tabular data modeling.
Recent efforts start to explicitly model the feature interactions with graph, where each feature …