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
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
Efficient bayesian hierarchical user modeling for recommendation system
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
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
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
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A context-aware music recommendation system using fuzzy bayesian networks with utility theory
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Foafing the music: bridging the semantic gap in music recommendation
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Mining social networks and their visual semantics from social photos
Proceedings of the International Conference on Web Intelligence, Mining and Semantics
Efficient manifold ranking for image retrieval
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Using rich social media information for music recommendation via hypergraph model
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section on ACM multimedia 2010 best paper candidates, and issue on social media
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Hypergraph spectral hashing for similarity search of social image
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Tag-based social image search with visual-text joint hypergraph learning
MM '11 Proceedings of the 19th ACM international conference on Multimedia
A Probabilistic Model to Combine Tags and Acoustic Similarity for Music Retrieval
ACM Transactions on Information Systems (TOIS)
What's the best music you have?: designing music recommendation for group enjoyment in groupfun
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Finding the hidden gems: recommending untagged music
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Context-aware social media recommendation based on potential group
Proceedings of the 1st International Workshop on Context Discovery and Data Mining
Hyperspectral image classification with hypergraph modelling
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
Proceedings of the 2012 international workshop on Socially-aware multimedia
Proceedings of the 20th ACM international conference on Multimedia
News recommendation via hypergraph learning: encapsulation of user behavior and news content
Proceedings of the sixth ACM international conference on Web search and data mining
Image ranking via attribute boosted hypergraph
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Folksonomy link prediction based on a tripartite graph for tag recommendation
Journal of Intelligent Information Systems
Link prediction in social networks based on hypergraph
Proceedings of the 22nd international conference on World Wide Web companion
Hybrid image summarization by hypergraph partition
Neurocomputing
Cross domain recommendation based on multi-type media fusion
Neurocomputing
Social-oriented visual image search
Computer Vision and Image Understanding
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Acoustic-based music recommender systems have received increasing interest in recent years. Due to the semantic gap between low level acoustic features and high level music concepts, many researchers have explored collaborative filtering techniques in music recommender systems. Traditional collaborative filtering music recommendation methods only focus on user rating information. However, 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 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. In this paper, 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. Experiments on a data set collected from the music social community Last.fm have demonstrated the effectiveness of our proposed algorithm.