Alleviating the cold-start playlist continuation in music recommendation using latent semantic indexing
The cold-start problem is a grand challenge in music recommender systems aiming to
provide users with a better and continuous music listening experience. When a new user …
provide users with a better and continuous music listening experience. When a new user …
Exploring playlist titles for cold-start music recommendation: an effectiveness analysis
In music recommender systems, automatic playlist continuation is an emerging task that
aims to improve users' listening experience by recommending music in line with their …
aims to improve users' listening experience by recommending music in line with their …
Algorithmic balancing of familiarity, similarity, & discovery in music recommendations
R Mehrotra - Proceedings of the 30th ACM International Conference …, 2021 - dl.acm.org
Algorithmic recommendations shape music consumption at scale, and understanding the
role different behavioral aspects play in how content is consumed, is a central question for …
role different behavioral aspects play in how content is consumed, is a central question for …
Automatic music playlist continuation via neighbor-based collaborative filtering and discriminative reweighting/reranking
The focus of RecSys Challenge 2018 is automatic playlist continuation (APC), which refers
to the task of adding one or more tracks to a playlist in a manner that does not alter the …
to the task of adding one or more tracks to a playlist in a manner that does not alter the …
Contextual and sequential user embeddings for large-scale music recommendation
Recommender systems play an important role in providing an engaging experience on
online music streaming services. However, the musical domain presents distinctive …
online music streaming services. However, the musical domain presents distinctive …
A hybrid recommender system for improving automatic playlist continuation
Although widely used, the majority of current music recommender systems still focus on
recommendations' accuracy, user preferences and isolated item characteristics, without …
recommendations' accuracy, user preferences and isolated item characteristics, without …
Semantic music information retrieval using collaborative indexing and filtering
CHC Leung, WS Chan - … and Information Sciences: Proceedings of the …, 2010 - Springer
With the rapid development of multimedia technology, digital music has become
increasingly available and it constitutes a significant component of multimedia contents on …
increasingly available and it constitutes a significant component of multimedia contents on …
Exploiting and exploring hierarchical structure in music recommendation
Collaborative Filtering (CF) approaches have been widely applied in music
recommendation as they provide users with personalized song lists. However, CF methods …
recommendation as they provide users with personalized song lists. However, CF methods …
Context-aware music recommendation based on latenttopic sequential patterns
Contextual factors can greatly influence the users' preferences in listening to music.
Although it is hard to capture these factors directly, it is possible to see their effects on the …
Although it is hard to capture these factors directly, it is possible to see their effects on the …
[PDF][PDF] Recsys challenge 2018: Automatic playlist continuation
In recent years, considerable attention has been given to studies on the role of playlists in
music consumption. A study carried out in 2016, by the Music Business Association [6] …
music consumption. A study carried out in 2016, by the Music Business Association [6] …