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 …

Course recommendation systems are applied to help students with different needs select
courses in a large range of course resources. However, a student's needs are not always …

The recommender system is widely used in the field of e-commerce and plays an important
role in guiding customers to make smart decisions. Although many algorithms are available …

Movie recommender systems have been widely used in a variety of online networking
platforms to give users reasonable advice from a large number of choices. As a …

Travel recommendation agents have been a helpful tool for travelers in their decision‐
making for destination choices. It has been shown that sparsity can significantly impact on …

In order to improve recommendation quality of recommendation algorithms, this paper
proposes a hybrid recommendation algorithm based on user comments sentiment and …

Personalized recommender systems are the most effective way to solve the problem of
information overload. The majority of traditional personalized recommender systems employ …

Despite being studied for more than twenty years, state-of-the-art recommendation systems
still suffer from important drawbacks which limit their usage in real-world scenarios. Among …

With the boom in online clothing e-commerce, various web portals and mobile applications
apply recommendation methods to improve the sales and consumer satisfaction based on …

In many personalized recommendation problems available data consists only of positive
interactions (implicit feedback) between users and items. This problem is also known as One …