Aiming at the shortcomings of single network classification model, this paper applies CNN‐
LSTM (convolutional neural networks‐long short‐term memory) combined network in the …

With the rapid development of the Internet of Vehicles (IoV), the data in the network have
become more complicated, and user demand for popular content has been growing. The …

In the process of the rapid development of mobile networks, music recommendation systems
(MRSs) have experienced considerable success in recent years. Conventional music …

Music plays a significant role in evoking human emotions. Thanks to the quick proliferation
of smartphones and mobile internet, music streaming applications and websites have made …

Throughout the decades, music has been involved with human emotions and inner
imaginations. Along with the overgrowing demands for the overhead reduction of human …

The use of rumors and denigration in cyberbullying have been studied in the contexts of
public opinion and public policy, but questions remain. The study presented here examines …

The type of song or music a person is listening to, usually represents his state of mind. We
find many online music libraries/repositories and music streaming and media services …

The study of Music Recommender Systems (MRS) has become crucial in digital music
consumption, influencing how people discover and interact with music. This comprehensive …

In the current state of the situations around the world, song and music are the true helpers to
calm the depressed minds. People try to listen to the songs which sync with their emotions …

In the present advanced world, a suggestion/recommendation engine is quite possibly the
most incredible asset for showcasing. A recommender system is only a data separating …