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- 11 creator julian-urbano.
- 11 creator markus-schedl.
- 11 type InProceedings.
- 11 label "Towards Minimal Test Collections for Evaluation of Audio Music Similarity and Retrieval".
- 11 sameAs 11.
- 11 abstract "Reliable evaluation of Information Retrieval systems requires large amounts of relevance judgments. Making these annotations is quite complex and tedious for many Music Information Retrieval tasks, so performing such evaluations requires too much effort. A low-cost alternative is the application of Minimal Test Collection algorithms, which offer quite reliable results while significantly reducing the annotation effort. The idea is to incrementally select what documents to judge so that we can compute estimates of the effectiveness differences between systems with some degree of confidence. In this paper we show a first approach towards its application to the evaluation of the Audio Music Similarity and Retrieval task. An analysis with the MIREX 2009 and 2011 data shows that the judging effort can be reduced to about 30-40% to obtain results with 95% confidence.".
- 11 hasAuthorList authorList.
- 11 isPartOf proceedings.
- 11 keyword "evaluation".
- 11 keyword "music information retrieval".
- 11 keyword "relevance judgments".
- 11 keyword "test collections".
- 11 title "Towards Minimal Test Collections for Evaluation of Audio Music Similarity and Retrieval".
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- 12 creator andrew-hankinson.
- 12 creator gabriel-vigliensoni.
- 12 creator ichiro-fujinaga.
- 12 creator john-ashley-burgoyne.
- 12 type InProceedings.
- 12 label "Creating Large-Scale Searchable Digital Collections from Printed Music Materials".
- 12 sameAs 12.
- 12 abstract "In this paper we present our work towards developing a large-scale web application for digitizing, recognizing (via optical music recognition), correcting, displaying, and searching printed music texts. We present the results of a recently completed prototype implementation of our workflow process, from document capture to presentation on the web. We discuss a number of lessons learned from this prototype. Finally, we present some open-source Web 2.0 tools developed to provide essential infrastructure components for making searchable printed music collections available online. Our hope is that these experiences and tools will help in creating next-generation globally accessible digital music libraries.".
- 12 hasAuthorList authorList.
- 12 isPartOf proceedings.
- 12 keyword "digital collections".
- 12 keyword "music notation".
- 12 keyword "optical music recognition".
- 12 keyword "search".
- 12 keyword "web applications".
- 12 title "Creating Large-Scale Searchable Digital Collections from Printed Music Materials".
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- 15 creator david-hauger.
- 15 creator markus-schedl.
- 15 type InProceedings.
- 15 label "Mining Microblogs to Infer Music Artist Similarity and Cultural Listening Patterns".
- 15 sameAs 15.
- 15 abstract "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.".
- 15 hasAuthorList authorList.
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- 15 keyword "evaluation".
- 15 keyword "music information retrieval".
- 15 keyword "similarity measurement".
- 15 keyword "social media mining".
- 15 title "Mining Microblogs to Infer Music Artist Similarity and Cultural Listening Patterns".
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- 2 creator alipio-mario-jorge.
- 2 creator fabien-gouyon.
- 2 creator joao-vinagre.
- 2 creator jose-paulo-leal.
- 2 creator luis-lemos.
- 2 creator marcos-aurelio-domingues.
- 2 creator mohamed-sordo.
- 2 type InProceedings.
- 2 label "Combining Usage and Content in an Online Music Recommendation System for Music in the Long-Tail".
- 2 sameAs 2.
- 2 abstract "In this paper we propose a hybrid music recommender system, which combines usage and content data. We describe an online evaluation experiment performed in real time on a commercial music web site, specialised in content from the very long tail of music content. We compare it against two stand-alone recommenders, the first system based on usage and the second one based on content data. The results show that the proposed hybrid recommender shows advantages with respect to usage- and content-based systems, namely, higher user absolute acceptance rate, higher user activity rate and higher user loyalty.".