Algorithms for clustering data
Algorithms for clustering data
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fab: content-based, collaborative recommendation
Communications of the ACM
Siteseer: personalized navigation for the Web
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Manipulation of music for melody matching
MULTIMEDIA '98 Proceedings of the sixth ACM international conference on Multimedia
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
A hybrid user model for news story classification
UM '99 Proceedings of the seventh international conference on User modeling
Introduction to data compression (2nd ed.)
Introduction to data compression (2nd ed.)
Content-based book recommending using learning for text categorization
DL '00 Proceedings of the fifth ACM conference on Digital libraries
A personalized television listings service
Communications of the ACM
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
A Personalized Music Filtering System Based on Melody Style Classification
ICDM '02 Proceedings of the 2002 IEEE International Conference on Data Mining
Enabling Personalized Recommendation on the Web Based on User Interests and Behaviors
RIDE '01 Proceedings of the 11th International Workshop on research Issues in Data Engineering
Learning User Similarity and Rating Style for Collaborative Recommendation
Information Retrieval
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Examining user resistance and management strategies in enterprise system implementations
Proceedings of the 2007 ACM SIGMIS CPR conference on Computer personnel research: The global information technology workforce
Using Evolving Agents to Critique Subjective Music Compositions
Computational Intelligence and Security
An intelligent music playlist generator based on the time parameter with artificial neural networks
Expert Systems with Applications: An International Journal
Intelligent Music Playlist Recommendation Based on User Daily Behavior and Music Content
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Commodity recommendations of retail business based on decisiontree induction
Expert Systems with Applications: An International Journal
Context awareness by case-based reasoning in a music recommendation system
UCS'07 Proceedings of the 4th international conference on Ubiquitous computing systems
Social-based planning model for multiagent systems
Expert Systems with Applications: An International Journal
Personalizing group recommendation to social network users
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part I
Evaluating subjective compositions by the cooperation between human and adaptive agents
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Building a personalized music emotion prediction system
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Music for my mood: a music recommendation system based on context reasoning
EuroSSC'06 Proceedings of the First European conference on Smart Sensing and Context
Automatic user preference elicitation for music recommendation
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Building Tag-Aware Groups for Music High-Order Ranking and Topic Discovery
International Journal of Multimedia Data Engineering & Management
Clustering-based diversity improvement in top-N recommendation
Journal of Intelligent Information Systems
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In this paper, we present a music recommendation system, which provides a personalized service of music recommendation. The polyphonic music objects of MIDI format are first analyzed for deriving information for music grouping. For this purpose, the representative track of each polyphonic music object is first determined, and then six features are extracted from this track for proper music grouping. Moreover, the user access histories are analyzed to derive the profiles of user interests and behaviors for user grouping. The content-based, collaborative, and statistics-based recommendation methods are proposed based on the favorite degrees of the users to the music groups, and the user groups they belong to. A series of experiments are carried out to show that our approach performs well.