Travelling is a combination of journey, transportation, travel-time, accommodation, weather,
events, and other aspects which are likely to be experienced by most of the people at some …

Recommendation systems have overcome the overload of irrelevant information by
considering users' preferences and emotional states in the fields of tourism, health, e …

Social applications foster the involvement of end users in Web content creation, as a result
of which a new source of vast amounts of data about users and their likes and dislikes has …

The recent rapid growth of the Internet content has led to building recommendation systems
that guide users to their needs through an information retrieving process. An expert …

E-learning accounts for the emergence of re-skilling, up-skilling, and augmenting the
traditional education system by providing knowledge delivery. The meaningful learning …

Most recommender systems are evaluated on how they accurately predict user ratings.
However, individuals use them for more than an anticipation of their preferences. The …

Recommender systems are intelligent programs to suggest relevant contents to users
according to their interests which are widely expressed as numerical ratings. Collaborative …

Predicting the popularity of posts on social networks has taken on significant importance in
recent years, and several social media management tools now offer solutions to improve …

Discussion groups are one of the most important elements of collaborative learning which
utilize recommender systems to improve their performance in several aspects. This type of …

Recommendation systems are used to suggest items that users can be interested in. These
systems are based on the user preference historic to create a recommendation list with items …