Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A music recommendation system based on music data grouping and user interests
Proceedings of the tenth international conference on Information and knowledge management
A Personalized Music Filtering System Based on Melody Style Classification
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Extracting information about emotions in films
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Automatic multimedia cross-modal correlation discovery
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
PersonalSoundtrack: context-aware playlists that adapt to user pace
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Emotion-based impressionism slideshow with automatic music accompaniment
Proceedings of the 15th international conference on Multimedia
A novel method for personalized music recommendation
Expert Systems with Applications: An International Journal
A Proposed Movie Recommendation Method Using Emotional Word Selection
OCSC '09 Proceedings of the 3d International Conference on Online Communities and Social Computing: Held as Part of HCI International 2009
Motivating expressive writing with a text-to-sound application
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SAMMI: semantic affect-enhanced multimedia indexing
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
SceneMaker: automatic visualisation of screenplays
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Towards multimodal emotion recognition: a new approach
Proceedings of the ACM International Conference on Image and Video Retrieval
New approaches to mood-based hybrid collaborative filtering
Proceedings of the Workshop on Context-Aware Movie Recommendation
SceneMaker: multimodal visualisation of natural language film scripts
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part IV
SceneMaker: intelligent multimodal visualization of natural language scripts
AICS'09 Proceedings of the 20th Irish conference on Artificial intelligence and cognitive science
Building a personalized music emotion prediction system
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
MuseSync: standing on the shoulders of Hollywood
Proceedings of the 20th ACM international conference on Multimedia
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With the growth of digital music, the development of music recommendation is helpful for users. The existing recommendation approaches are based on the users' preference on music. However, sometimes, recommending music according to the emotion is needed. In this paper, we propose a novel model for emotion-based music recommendation, which is based on the association discovery from film music. We investigated the music feature extraction and modified the affinity graph for association discovery between emotions and music features. Experimental result shows that the proposed approach achieves 85% accuracy in average.