The nature of statistical learning theory
The nature of statistical learning theory
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Web-collaborative filtering: recommending music by crawling the Web
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
A vector space model for automatic indexing
Communications of the ACM
Modern Information Retrieval
The Journal of Machine Learning Research
A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
Towards the self-annotating web
Proceedings of the 13th international conference on World Wide Web
ACM SIGKDD Explorations Newsletter
A geometric interpretation and analysis of R-precision
Proceedings of the 14th ACM international conference on Information and knowledge management
An innovative three-dimensional user interface for exploring music collections enriched
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
A music search engine built upon audio-based and web-based similarity measures
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
User language model for collaborative personalized search
ACM Transactions on Information Systems (TOIS)
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Power-Law Distributions in Empirical Data
SIAM Review
A statistical approach to mechanized encoding and searching of literary information
IBM Journal of Research and Development
TwitterRank: finding topic-sensitive influential twitterers
Proceedings of the third ACM international conference on Web search and data mining
Time is of the essence: improving recency ranking using Twitter data
Proceedings of the 19th international conference on World wide web
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
Short text classification in twitter to improve information filtering
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Summarizing microblogs automatically
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Music Recommendation and Discovery: The Long Tail, Long Fail, and Long Play in the Digital Music Space
You are where you tweet: a content-based approach to geo-locating twitter users
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
An empirical study on learning to rank of tweets
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
#TwitterSearch: a comparison of microblog search and web search
Proceedings of the fourth ACM international conference on Web search and data mining
“Reinventing the Wheel”: A Novel Approach to Music Player Interfaces
IEEE Transactions on Multimedia
Personalization in multimodal music retrieval
AMR'11 Proceedings of the 9th international conference on Adaptive Multimedia Retrieval: large-scale multimedia retrieval and evaluation
Leveraging microblogs for spatiotemporal music information retrieval
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
A survey of music similarity and recommendation from music context data
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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This paper aims at leveraging microblogs to address two challenges in music information retrieval (MIR), similarity estimation between music artists and inferring typical listening patterns at different granularity levels (city, country, global). From two collections of several million microblogs, which we gathered over ten months, music-related information is extracted and statistically analyzed. We propose and evaluate four co-occurrence-based methods to compute artist similarity scores. Moreover, we derive and analyze culture-specific music listening patterns to investigate the diversity of listening behavior around the world.