The web contains a huge volume of data, and it's populating every moment to the point that
human beings cannot deal with the vast amount of data manually or via traditional tools …

Recommender Systems (RS) are established to deal with the preferences of users to
enhance their experience and interest in innumerable online applications by streamlining …

In recent times, selection of a suitable hotel location and reservation of accommodation have
become a critical issue for the travelers. The online hotel search has been increased at a …

Social recommender systems have attracted a lot of attention from academia and industry.
On social media, users' ratings and reviews can be observed by all users, and have implicit …

Deep learning is a methodology applied across many fields. User comments are important
for recommender systems because they include various types of emotional information that …

As a method of information filtering, the Recommender System (RS) has gained
considerable popularity because of its efficiency and provision of the most superior numbers …

Electronic Learning (e-learning) has made a great success and recently been estimated as
a billion-dollar industry. The users of e-learning acquire knowledge of diversified content …

Recommendation services become an essential and hot research topic for researchers
nowadays. Social data such as Reviews play an important role in the recommendation of the …

Recommendation systems have recently gained a lot of popularity in various industries such
as entertainment and tourism. They can act as filters of information by providing relevant …

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 …