“Sources of information on specific subjects”
Journal of Information Science - Lecture notes in computer science, No. 207
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Towards the digital music library: tune retrieval from acoustic input
Proceedings of the first ACM international conference on Digital libraries
An algorithm for suffix stripping
Readings in information retrieval
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
Listening in: practices surrounding iTunes music sharing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A Large-Scale Evaluation of Acoustic and Subjective Music-Similarity Measures
Computer Music Journal
Usability evaluation considered harmful (some of the time)
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Co-authorship networks in the digital library research community
Information Processing and Management: an International Journal - Special issue: Infometrics
Analyzing Social Media Networks with NodeXL: Insights from a Connected World
Analyzing Social Media Networks with NodeXL: Insights from a Connected World
What does music mood mean for real users?
Proceedings of the 2012 iConference
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Most Music Information Retrieval (MIR) researchers will agree that understanding users' needs and behaviors is critical for developing a good MIR system. The number of user studies in the MIR domain has been gradually increasing since the early 2000s, reflecting this growing appreciation of the need for empirical studies of users. However, despite the growing number of user studies and the wide recognition of their importance, it is unclear how great their impact has been in the field: on how systems are developed, how evaluation tasks are created, and how MIR system developers in particular understand critical concepts such as music similarity or music mood. In this paper, we present our analysis on the growth, publication and citation patterns, topics, and design of 198 user studies. This is followed by a discussion of a number of issues/challenges in conducting MIR user studies and distributing the research results. We conclude by making recommendations to increase the visibility and impact of user studies in the field.