Collaborative Filtering (CF) filters the flow of data that can be recommended, by a
Recommender System (RS), to a target user according to his taste and his preferences. The …

Big data has become a significant research area due to the birth of enormous data
generated from various sources like social media, internet of things and multimedia …

Abstract Machine learning holds great promise for lowering product and service costs,
speeding up business processes, and serving customers better. It is recognized as one of …

In the era of big data, recommender system (RS) has become an effective information
filtering tool that alleviates information overload for Web users. Collaborative filtering (CF) …

Smart grids have been gradually replacing the traditional power grids since the last decade.
Such transformation is linked to adding a large number of smart meters and other sources of …

In recent years there has been an enormous increase in learning resources available online
through massive open online courses and learning management systems. In this context …

A theoretical framework to deal with incomplete preference information in social network
group decision making (SN-GDM) is put forward. Firstly, the concept of the type-2 linguistic …

The tremendous expansion of information available on the web voraciously bombards
users, leaving them unable to make decisions and having no way of stepping back to …

Providing the right products, at the right place and time, according to their customer's
preferences, is a problem-seeking solution, especially for companies operating in the retail …

Background Decision-making in the stock market is convoluted as it requires significant
trading experience and knowledge. Faced with a huge range of stocks, investors in the stock …