Recommender System (RS) helps to find the items according to user interest and provides
various suggestions that help in the decision‐making process. These suggestions depend …

Group formation is a complex task requiring computational support to succeed. In the
literature, there has been considerable effort in the development of algorithms for composing …

Recommender systems can offer a fertile ground in e-learning software, since they can
assist users by presenting them with learning material in which they can be more interested …

Extraneous growth of scientific information over the Internet makes the searching task non-
trivial and as a consequence researchers are facing difficulties in finding relevant papers …

Sentiment analysis is one of the recent technologies under NLP (an application of Al and
ML). Sentiment analysis is used in many applications for recommendation and feedback …

Digital repositories contain a large amount of content, which is available to heterogeneous
groups of people. As such, in many cases people encounter difficulties in finding specific …

A recommender system is considered to provide user-specific recommendations of products
or any kind of services depending upon different sectors such as business, marketing …

Recommendation systems are obtaining more attention in various application fields
especially e-commerce, social networks and tourism etc. The top items are recommended …

The way that computing systems digest geographic space is fundamentally different from
people's understanding of space. In human discourse, a geographic space is referred to by …

Mobile crowd sensing is a data collection model that combines crowdsourcing ideas and
mobile device sensing abilities. In the decision-making process of mobile crowd sensing …