Music Recommendation and Discovery


Book Description

In the last 15 years we have seen a major transformation in the world of music. - sicians use inexpensive personal computers instead of expensive recording studios to record, mix and engineer music. Musicians use the Internet to distribute their - sic for free instead of spending large amounts of money creating CDs, hiring trucks and shipping them to hundreds of record stores. As the cost to create and distribute recorded music has dropped, the amount of available music has grown dramatically. Twenty years ago a typical record store would have music by less than ten thousand artists, while today online music stores have music catalogs by nearly a million artists. While the amount of new music has grown, some of the traditional ways of ?nding music have diminished. Thirty years ago, the local radio DJ was a music tastemaker, ?nding new and interesting music for the local radio audience. Now - dio shows are programmed by large corporations that create playlists drawn from a limited pool of tracks. Similarly, record stores have been replaced by big box reta- ers that have ever-shrinking music departments. In the past, you could always ask the owner of the record store for music recommendations. You would learn what was new, what was good and what was selling. Now, however, you can no longer expect that the teenager behind the cash register will be an expert in new music, or even be someone who listens to music at all.




Music Recommendation and Discovery in the Long Tail


Book Description

Resum Avui en dia, la música està esbiaixada cap al consum d'alguns artistes molt populars. Per exemple, el 2007 només l'1% de totes les cançons en format digital va representar el 80% de les vendes. De la mateixa manera, només 1.000 àlbums varen representar el 50% de totes les vendes, i el 80% de tots els àlbums venuts es varen comprar menys de 100 vegades. Es clar que hi ha una necessitat per tal d'ajudar a les persones a filtrar, descobrir, personalitzar i recomanar música, a partir de l'enorme quantitat de contingut musical disponible. Els algorismes de recomanació de música actuals intenten predir amb precisió el que els usuaris demanen escoltar. Tanmateix, molt sovint aquests algoritmes tendeixen a recomanar artistes famosos, o coneguts d'avantmà per l'usuari. Això fa que disminueixi l'eficàcia i utilitat de les recomanacions, ja que aquests algorismes es centren bàsicament en millorar la precisió de les recomanacions. És a dir, tracten de fer prediccions exactes sobre el que un usuari pugui escoltar o comprar, independentment de quant útils siguin les recomanacions generades. En aquesta tesi destaquem la importància que l'usuari valori les recomanacions rebudes. Per aquesta raó modelem la corba de popularitat dels artistes, per tal de poder recomanar música interessant i desconeguda per l'usuari. Les principals contribucions d'aquesta tesi són: (i) un nou enfocament basat en l'anàlisi de xarxes complexes i la popularitat dels productes, aplicada als sistemes de recomanació, (ii) una avaluació centrada en l'usuari, que mesura la importància i la desconeixença de les recomanacions, i (iii) dos prototips que implementen la idees derivades de la tasca teòrica. Els resultats obtinguts tenen una clara implicació per aquells sistemes de recomanació que ajuden a l'usuari a explorar i descobrir continguts que els pugui agradar. Resumen Actualmente, el consumo de música está sesgada hacia algunos artistas muy populares. Por ejemplo, en el año 2007 sólo el 1% de todas l.




Advances in Information Retrieval


Book Description

This two-volume set LNCS 13185 and 13186 constitutes the refereed proceedings of the 44th European Conference on IR Research, ECIR 2022, held in April 2022, due to the COVID-19 pandemic. The 35 full papers presented together with 11 reproducibility papers, 13 CLEF lab descriptions papers, 12 doctoral consortium papers, 5 workshop abstracts, and 4 tutorials abstracts were carefully reviewed and selected from 395 submissions.




Music Data Analysis


Book Description

This book provides a comprehensive overview of music data analysis, from introductory material to advanced concepts. It covers various applications including transcription and segmentation as well as chord and harmony, instrument and tempo recognition. It also discusses the implementation aspects of music data analysis such as architecture, user interface and hardware. It is ideal for use in university classes with an interest in music data analysis. It also could be used in computer science and statistics as well as musicology.




Case-Based Reasoning Research and Development


Book Description

This book constitutes the refereed proceedings of the 23rd International Conference on Case-Based Reasoning Research and Development, ICCBR 2015, held in Frankfurt am Main, Germany, in September 2015. The 26 revised full papers presented were carefully reviewed and selected from 37 submissions. The papers cover a wide range of CBR topics that are of interest both to researchers and practitioners from foundations of Case-Based Reasoning; over CBR systems for specific tasks and related fields; up to CBR systems, applications and lessons learned in specific areas of expertise such as health; e-science; finance; energy, logistics, traffic; game/AI; cooking; diagnosis, technical support; as well as knowledge and experience management




Advanced Data Mining and Applications


Book Description

This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, held in Singapore in November 2017. The 20 full and 38 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers were organized in topical sections named: database and distributed machine learning; recommender system; social network and social media; machine learning; classification and clustering methods; behavior modeling and user profiling; bioinformatics and medical data analysis; spatio-temporal data; natural language processing and text mining; data mining applications; applications; and demos.




This is the Sound of Irony: Music, Politics and Popular Culture


Book Description

The use of irony in music is just beginning to be defined and critiqued, although it has been used, implied and decried by composers, performers, listeners and critics for centuries. Irony in popular music is especially worthy of study because it is pervasive, even fundamental to the music, the business of making music and the politics of messaging. Contributors to this collection address a variety of musical ironies found in the ’notes themselves,’ in the text or subtext, and through performance, reception and criticism. The chapters explore the linkages between irony and the comic, the tragic, the remembered, the forgotten, the co-opted, and the resistant. From the nineteenth to twenty-first centuries, through America, Europe and Asia, this provocative range of ironies course through issues of race, religion, class, the political left and right, country, punk, hip hop, folk, rock, easy listening, opera and the technologies that make possible our pop music experience. This interdisciplinary volume creates new methodologies and applies existing theories of irony to musical works that have made a cultural or political impact through the use of this most multifaceted of devices.




E-Commerce and Web Technologies


Book Description

This book constitutes the refereed proceedings of the 13th International Conference on Electronic Commerce and Web Technologies (EC-Web) held in Vienna, Austria, in September 2012. The 15 full and four short papers accepted for EC-Web, selected from 45 submissions, were carefully reviewed based on their originality, quality, relevance, and presentation. They are organized into topical sections on recommender systems, security and trust, mining and semantic services, negotiation, and agents and business services.




Advances in Artificial Intelligence and Applied Cognitive Computing


Book Description

The book presents the proceedings of two conferences: The 22nd International Conference on Artificial Intelligence (ICAI’20) and The 4th International Conference on Applied Cognitive Computing (ACC’20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Topics include: deep learning; neural networks; brain models; cognitive science; natural language processing; fuzzy logic and soft computing (ICAI) and novel computationally intelligent algorithms; bio inspired cognitive algorithms; modeling human brain processing systems (ACC); and more. Authors include academics, researchers, and professionals. Presents the proceedings of two conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks: artificial intelligence and applied cognitive computing; Features papers from the 22nd International Conference on AI (ICAI’20) and the 4th International Conference on Applied Cognitive Computing (ACC’20).




The SAGE International Encyclopedia of Music and Culture


Book Description

The SAGE Encyclopedia of Music and Culture presents key concepts in the study of music in its cultural context and provides an introduction to the discipline of ethnomusicology, its methods, concerns, and its contributions to knowledge and understanding of the world's musical cultures, styles, and practices. The diverse voices of contributors to this encyclopedia confirm ethnomusicology's fundamental ethos of inclusion and respect for diversity. Combined, the multiplicity of topics and approaches are presented in an easy-to-search A-Z format and offer a fresh perspective on the field and the subject of music in culture. Key features include: Approximately 730 signed articles, authored by prominent scholars, are arranged A-to-Z and published in a choice of print or electronic editions Pedagogical elements include Further Readings and Cross References to conclude each article and a Reader’s Guide in the front matter organizing entries by broad topical or thematic areas Back matter includes an annotated Resource Guide to further research (journals, books, and associations), an appendix listing notable archives, libraries, and museums, and a detailed Index The Index, Reader’s Guide themes, and Cross References combine for thorough search-and-browse capabilities in the electronic edition