Abstract In the Big Data era, every sector has adapted to technological development to
service the vast amount of information available. In this way, each field has benefited from …

Recommender systems are similar to an information filtering system that helps identify items
that best satisfy the users' demands based on their preference profiles. Context-aware …

This paper presents a design and implementation of a multi-type, proactive and context-
aware recommender system that supports a healthy lifestyle for patients who suffer Diabetes …

For more than a century, Markov chain models have had a tremendous effect on research
and industry alike in various domains such as physics, chemistry, biology, and computer …

We study the problem of contextual feature selection, where the goal is to learn a predictive
function while identifying subsets of informative features conditioned on specific contexts …

Being able to generate personalized recommendations is a widespread objective in (online)
retail. The focus of this research is to estimate the relevance of user-item combinations …

While nearly seventy five of customers prefer a cell phone-friendly web site, ninety six of
customers say they've encountered sites that have been sincerely not designed for cell …

In view of the fact that the prediction effect of influential financial customer churn in the
Internet of Things environment is difficult to achieve the expectation, at the smart contract …