GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
The Earth Mover's Distance as a Metric for Image Retrieval
International Journal of Computer Vision
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
K-BOX: a query-by-singing based music retrieval system
Proceedings of the 12th annual ACM international conference on Multimedia
Fast monte-carlo algorithms for finding low-rank approximations
Journal of the ACM (JACM)
IEEE Transactions on Knowledge and Data Engineering
Content-based music audio recommendation
Proceedings of the 13th annual ACM international conference on Multimedia
Inferring similarity between music objects with application to playlist generation
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
A Large-Scale Evaluation of Acoustic and Subjective Music-Similarity Measures
Computer Music Journal
Higher order learning with graphs
ICML '06 Proceedings of the 23rd international conference on Machine learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
A probabilistic music recommender considering user opinions and audio features
Information Processing and Management: an International Journal - Special issue: AIRS2005: Information retrieval research in Asia
Scalable music recommendation by search
Proceedings of the 15th international conference on Multimedia
Towards ensemble learning for hybrid music recommendation
Proceedings of the 2007 ACM conference on Recommender systems
A hybrid social-acoustic recommendation system for popular music
Proceedings of the 2007 ACM conference on Recommender systems
Simultaneous Heterogeneous Data Clustering Based on Higher Order Relationships
ICDMW '07 Proceedings of the Seventh IEEE International Conference on Data Mining Workshops
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Proceedings of the 2008 ACM symposium on Applied computing
EigenRank: a ranking-oriented approach to collaborative filtering
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Personalized active learning for collaborative filtering
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Real-time automatic tag recommendation
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Hypergraph spectral learning for multi-label classification
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
If you like the beatles you might like...: a tutorial on music recommendation
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Tagommenders: connecting users to items through tags
Proceedings of the 18th international conference on World wide web
MetaFac: community discovery via relational hypergraph factorization
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
On social networks and collaborative recommendation
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Learning to recommend with social trust ensemble
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Personalized tag recommendation using graph-based ranking on multi-type interrelated objects
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
SVR-based music mood classification and context-based music recommendation
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Document recommendation in social tagging services
Proceedings of the 19th international conference on World wide web
Music recommendation by unified hypergraph: combining social media information and music content
Proceedings of the international conference on Multimedia
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Foafing the music: bridging the semantic gap in music recommendation
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
Knowledge-Based Systems
G-Optimal Feature Selection with Laplacian regularization
Neurocomputing
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There are various kinds of social media information, including different types of objects and relations among these objects, in music social communities such as Last.fm and Pandora. This information is valuable for music recommendation. However, there are two main challenges to exploit this rich social media information: (a) There are many different types of objects and relations in music social communities, which makes it difficult to develop a unified framework taking into account all objects and relations. (b) In these communities, some relations are much more sophisticated than pairwise relation, and thus cannot be simply modeled by a graph. We propose a novel music recommendation algorithm by using both multiple kinds of social media information and music acoustic-based content. Instead of graph, we use hypergraph to model the various objects and relations, and consider music recommendation as a ranking problem on this hypergraph. While an edge of an ordinary graph connects only two objects, a hyperedge represents a set of objects. In this way, hypergraph can be naturally used to model high-order relations.