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 …

Recommender Systems are more and more playing an important role in our life,
representing useful tools helping users to find “what they need” from a very large number of …

The e‐commerce recommendation system mainly includes content recommendation
technology, collaborative filtering recommendation technology, and hybrid recommendation …

Recommender systems have become an integral part of many social networks and extract
knowledge from a user's personal and sensitive data both explicitly, with the user's …

With the explosive growth of information on the web and the quick provision of novel web
services, recommendation systems have emerged as efficient mechanism for providing …

In the last decade, sentiment analysis, opinion mining, and subjectivity of microblogs in
social media have attracted a great deal of attention of researchers. Movie recommendation …

With the progressive role of computers and their users as actors in social networks,
computations alike social network analysis (SNA) are gaining in attention. This work …

Batsmen are accorded a certain precedence for better batting ability over their peers. The
batsmen in cricket are assessed mostly based on their batting average. However, comparing …

Social media recommendation differs from traditional recommendation approaches as it
needs considering not only the content information and users' similarities, but also users' …

This paper introduces an Adaptive Context Aware Recommender system based on the Slow
Intelligence approach. The system is made available to the user as an adaptive mobile …