Recommender Systems (RS) have proven to be effective tools to help users overcome
information overload, and significant advances have been made in the field over the past …

Over the years, the recommender systems (RS) have witnessed an increasing growth for its
enormous benefits in supporting users' needs through map** the available products to …

Point-of-Interest (POI) recommendation has become an important means to help people
discover attractive and interesting places, especially when users travel out of town …

This article presents GRAPE, a parallel GRAP h E ngine for graph computations. GRAPE
differs from prior systems in its ability to parallelize existing sequential graph algorithms as a …

Abstract Streaming Recommender Systems (SRSs) have emerged to deliver
recommendations based on pervasive data streams, which are a sequence of user-item …

Although widely used, the majority of current music recommender systems still focus on
recommendations' accuracy, user preferences and isolated item characteristics, without …

Cognitive diagnosis, aiming at providing an approach to reveal the proficiency level of
learners on knowledge concepts, plays an important role in intelligent education area and …

Recommender Systems (RSs) in real-world applications often deal with billions of user
interactions daily. To capture the most recent trends effectively, it is common to update the …

To provide useful and accurate recommendations, the role of recommender systems for e-
commerce industry is to predict users' interest by approximating users' preferences and …

Video recommendation has attracted growing attention in recent years. However,
conventional techniques have limitations in real-time processing, accuracy or scalability for …