Music is the language of emotions. In recent years, music emotion recognition has attracted
widespread attention in the academic and industrial community since it can be widely used …

Recently, graph neural networks (GNNs) have gained increasing popularity due to their
convincing performance in various applications. Many previous studies also attempted to …

There is an increasing attention on next-item recommendation systems to infer the dynamic
user preferences with sequential user interactions. While the semantics of an item can …

Convolutional Neural Networks (CNNs) have been recently introduced in the domain of
session-based next item recommendation. An ordered collection of past items the user has …

Recurrent neural networks for session-based recommendation have attracted a lot of
attention recently because of their promising performance. repeat consumption is a common …

Although latent factor models (eg, matrix factorization) achieve good accuracy in rating
prediction, they suffer from several problems including cold-start, non-transparency, and …

Session-based recommendation is the task of predicting the next item to recommend when
the only available information consists of anonymous behavior sequences. Previous …

With the prevalence of multimedia content on the Web, developing recommender solutions
that can effectively leverage the rich signal in multimedia data is in urgent need. Owing to …

Recently, the booming fashion sector and its huge potential benefits have attracted
tremendous attention from many research communities. In particular, increasing research …

Food recommendation has become an important means to help guide users to adopt
healthy dietary habits. Previous works on food recommendation either i) fail to consider …