Nowadays, people prefer to read news articles from online sources worldwide due to their
easiness and availability. For the last few years, online searching for required information or …

With the growing volume of online information, recommender systems have been an
effective strategy to overcome information overload. The utility of recommender systems …

Deep Learning is one of the next big things in Recommendation Systems technology. The
past few years have seen the tremendous success of deep neural networks in a number of …

Recommender systems have been in existence everywhere with most of them using single
ratings in prediction. However, multi-criteria predictions have been proved to be more …

A recommender system plays a vital role in information filtering and retrieval, and its
application is omnipresent in many domains. There are some drawbacks such as the cold …

Deep neural networks have yielded immense success in speech recognition, computer
vision and natural language processing. However, the exploration of deep neural networks …

Research on recommendation systems is swiftly producing an abundance of novel methods,
constantly challenging the current state-of-the-art. Inspired by advancements in many …

Deep learning-based collaborative filtering methods are studied in recommendation
systems as efficient feature mapping techniques. The aim of these methods is to project the …

The exponential outbreak of news articles makes it troublesome for the readers to find,
select and read the most relevant ones and alleviate the resulting information and cognitive …

For many years user textual reviews have been exploited to model user/item representations
for enhancing the performance of the Recommender System (RS). However, the traditional …