Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Query by humming: musical information retrieval in an audio database
Proceedings of the third ACM international conference on Multimedia
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
VLDB '97 Proceedings of the 23rd International Conference on Very Large Data Bases
An industrial-strength content-based music recommendation system
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Learning the meaning of music
Music structure based vector space retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
An innovative three-dimensional user interface for exploring music collections enriched
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Using natural language input and audio analysis for a human-oriented MIR system
WEDELMUSIC'02 Proceedings of the Second international conference on Web delivering of music
"The way it Sounds": timbre models for analysis and retrieval of music signals
IEEE Transactions on Multimedia
MusicSense: contextual music recommendation using emotional allocation modeling
Proceedings of the 15th international conference on Multimedia
Searching for Music Using Natural Language Queries and Relevance Feedback
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
Automatically Detecting Members and Instrumentation of Music Bands Via Web Content Mining
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
Can all tags be used for search?
Proceedings of the 17th ACM conference on Information and knowledge management
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Music search engines: Specifications and challenges
Information Processing and Management: an International Journal
Sentiment vector space model for lyric-based song sentiment classification
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Combining audio content and social context for semantic music discovery
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
User-centered design of a social game to tag music
Proceedings of the ACM SIGKDD Workshop on Human Computation
Learning to rank videos personally using multiple clues
Proceedings of the ACM International Conference on Image and Video Retrieval
Music information retrieval using social tags and audio
IEEE Transactions on Multimedia - Special section on communities and media computing
Clustering for music search results
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Modeling music as a dynamic texture
IEEE Transactions on Audio, Speech, and Language Processing
Towards an automatically generated music information system via web content mining
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
A document-centered approach to a natural language music search engine
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
Web Semantics: Science, Services and Agents on the World Wide Web
Three web-based heuristics to determine a person's or institution's country of origin
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
A music information system automatically generated via Web content mining techniques
Information Processing and Management: an International Journal
Exploring the music similarity space on the web
ACM Transactions on Information Systems (TOIS)
The need for music information retrieval with user-centered and multimodal strategies
MIRUM '11 Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies
A Probabilistic Model to Combine Tags and Acoustic Similarity for Music Retrieval
ACM Transactions on Information Systems (TOIS)
Mining microblogs to infer music artist similarity and cultural listening patterns
Proceedings of the 21st international conference companion on World Wide Web
Machine learning as an objective approach to understanding music
NFMCP'12 Proceedings of the First international conference on New Frontiers in Mining Complex Patterns
Personalization in multimodal music retrieval
AMR'11 Proceedings of the 9th international conference on Adaptive Multimedia Retrieval: large-scale multimedia retrieval and evaluation
Temporal influence over the Last.fm social network
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
A survey of music similarity and recommendation from music context data
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
The neglected user in music information retrieval research
Journal of Intelligent Information Systems
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An approach is presented to automatically build a search engine for large-scale music collections that can be queried through natural language. While existing approaches depend on explicit manual annotations and meta-data assigned to the individual audio pieces, we automatically derive descriptions by making use of methods from Web Retrieval and Music Information Retrieval. Based on the ID3 tags of a collection of mp3 files, we retrieve relevant Web pages via Google queries and use the contents of these pages to characterize the music pieces and represent them by term vectors. By incorporating complementary information about acous tic similarity we are able to both reduce the dimensionality of the vector space and improve the performance of retrieval, i.e. the quality of the results. Furthermore, the usage of audio similarity allows us to also characterize audio pieces when there is no associated information found on the Web.