In this technical survey, the latest advancements in the field of recommender systems are
comprehensively summarized. The objective of this study is to provide an overview of the …

This paper provides a thorough review of recommendation methods from academic
literature, offering a taxonomy that classifies recommender systems (RSs) into categories …

Numerous research efforts are endeavoring to boost the performance of dynamic user
preferences and next-item recommendations, which are pivotal tasks within sequential …

In this article, we present an extensive survey of music information retrieval (MIR) research
into music playlists. Our survey spans more than 20 years, and includes around 300 papers …

This paper presents a recommender system to assist human operators in industrial
automation applications, which suggests proper actions to take during process operation …

Category information plays a crucial role in enhancing the quality and personalization of
recommender systems. Nevertheless, the availability of item category information is not …

Because of COVID-19 pandemic, online movies are now extremely popular. While the movie
theaters have not serviced and people are staying quarantine, movies are the best choice …

User-curated item lists, such as video-based playlists on Youtube and book-based lists on
Goodreads, have become prevalent for content sharing on online platforms. Item list …

Streaming services have become a central platform for music consuming. Often, they rely on
large archives on which playlists are created. While many playlists are handcrafted …

In recent years, the rapid advancement of artificial intelligence (AI) technology has made
remarkable strides in the music industry, profoundly impacting various aspects of our lives …