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

Recommender Systems (RS) currently represent a fundamental tool in online services,
especially with the advent of Online Social Networks (OSN). In this case, users generate …

In the past decade, Social Tagging Systems have attracted increasing attention from both
physical and computer science communities. Besides the underlying structure and dynamics …

A social tagging system provides users an effective way to collaboratively annotate and
organize items with their own tags. A social tagging system contains heterogeneous …

Many researchers have introduced tag information to recommender systems to improve the
performance of traditional recommendation techniques. However, user-defined tags will …

Social media has gained huge importance in our lives wherein there is an enormous
demand of getting high social popularity. With the emergence of many social media …

Recommender systems generally face the challenge of making predictions using only the
relatively few user ratings available for a given domain. Cross-domain collaborative filtering …

With the popularity of social media services, the sheer amount of content is increasing
exponentially on the Social Web that leads to attract considerable attention to recommender …

In an era dominated by information overload, effective recommender systems are essential
for managing the deluge of data across digital platforms. Multi-stage cascade ranking …

With the development of social networking applications, microblog has turned to be an
indispensable online communication network in our daily life. For microblog users …