In the last years, information flood is becoming a common reality, and the general user, hit
by thousands of possible interesting information, has great difficulties identifying the best …

The personalized news recommendation has been very popular in the news
recommendation field. In most research, the picture information in the news is ignored, but …

Due to the rapid growth of Internet broadband access and proliferation of modern mobile
devices, various types of multimedia (eg, text, images, audios, and videos) have become …

Facing massive multimedia services and contents in the Internet, mobile users usually waste
a lot of time to obtain their interests. Therefore, various context-aware recommendation …

Multimedia content is dominating the current Web. In popular social media platforms such as
FaceBook, Twi er, and Instagram, there are over millions of multimedia items being created …

Nowadays, the huge amount of information available may easily overwhelm users when
they need to take a decision that involves choosing among several options. On the one …

In recent years, we have witnessed a rapid growth in the availability of digital multimedia on
various application platforms and domains. Consequently, the problem of information …

Over the last few years consumption of news articles has shifted more and more from the
written versions towards the web. Mobile devices, which became more powerful, with larger …

Recommender systems try to provide users with accurate personalized suggestions for
items based on an analysis and assessment of previous user behaviour and satisfaction …

The existing content-based recommendation methods have two major limitations. First, due
to the defects of the items and the user model matching algorithms, the recommendation …