In recent years, big data has emerged as one of the prominent buzzwords in business and
management. In spite of the mounting body of research on big data across the social …

Although web personalization has been examined by earlier literature reviews, an updated
analysis of recent advances in the field is needed. The authors extend prior reviews of web …

Abstract Content-based filtering (CBF), one of the most successful recommendation
techniques, is based on correlations between contents. CBF uses item information …

Modern companies generate value by digitalizing their services and products. Knowing what
customers are saying about the firm through reviews in social media content constitutes a …

Motivated by emerging need of learning algorithms for large scale networked and
decentralized systems, we introduce a distributed version of the classical stochastic Multi …

Recommender systems are increasingly playing an important role in our life, enabling users
to find “what they need” within large data collections and supporting a variety of applications …

Abstract The use of Online Social Networks has been rapidly increased over the last years.
In particular, Social Media Networks allow people to communicate, share, comment and …

Selecting a movie often requires users to perform numerous operations when faced with
vast resources from online movie platforms. Personalized recommendation services can …

Recommender Systems deal with the issue of overloading information by retrieving the most
relevant sources in the wide range of web services. They help users by predicting their …

Although big data, big data analytics (BDA) and business intelligence have attracted
growing attention of both academics and practitioners, a lack of clarity persists about how …