Over the past two decades, a large amount of research effort has been devoted to
develo** algorithms that generate recommendations. The resulting research progress has …

In recent years, a variety of review-based recommender systems have been developed, with
the goal of incorporating the valuable information in user-generated textual reviews into the …

Intelligence is the ability to learn from experience and use domain experts' knowledge to
adapt to new situations. In this context, an intelligent Recommender System should be able …

In recent years, the boundaries between e-commerce and social networking have become
increasingly blurred. Many e-commerce Web sites support the mechanism of social login …

In the context of recommendation systems, metadata information from reviews written for
businesses has rarely been considered in traditional systems developed using content …

In recent times, the recommender systems (RSs) have considerable importance in
academia, commercial activities, and industry. They are widely used in various domains …

As a tremendous number of mobile applications (apps) are readily available, users have
difficulty in identifying apps that are relevant to their interests. Recommender systems that …

Collaborative Filtering (CF) is one of the most extensively used technologies for
Recommender Systems (RS), it shows an improved intelligent searching mechanism for …

Recommender systems that predict the preference of users have attracted more and more
attention in decades. One of the most popular methods in this field is collaborative filtering …

Most practical recommender systems focus on estimating immediate user engagement
without considering the long-term effects of recommendations on user behavior …