In recent years, deep learning's revolutionary advances in speech recognition, image
analysis, and natural language processing have gained significant attention. Deep learning …

Abstract A Recommendation System (RS) is an intelligent computer based system which
provide valuable suggestions to the user and are used in several domains. Social media …

Deep learning research in the area of recommender systems is still in its infancy. A
recommendation system's primary goal is to establish connections between users and …

Data sparsity and cold start are two critical issues which need to be addressed in
recommender systems (RSs). Currently, most methods address these issues by applying …

Course recommendation aims at finding proper and attractive courses from massive
candidates for students based on their needs, and it plays a significant role in the curricula …

Recommendation systems (RS) have become prevalent across different domains including
music, e-commerce, e-learning, entertainment, and social media to address the issue of …

In recommender systems, the user items are offered tailored to users' requirements.
Because there are multiple cloud services, recommending a suitable service for users' …

During the last decade, in parallel with the rapid growth of mobile communications and
devices, location-based social networks have met a tremendous growth with the acceptance …

A lot of information is being gathered on social networks; this information is used for various
purposes, one of them is to build a recommendation system. Although it has evolved so …

A point of interest (POI) is a specific location that people may find useful or interesting.
Examples include restaurants, stores, attractions, and hotels. With recent proliferation of …