Sally Jo Cunningham

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Music is traditionally retrieved by title, composer or subjectclassification. It is possible, with current technology, toretrieve music from a database on the basis of a few notes sung orhummed into a microphone. This paper describes the implementationof such a system, and discusses several issues pertaining to musicretrieval. We first describe an interface(More)
At present, music digital library systems are being developed based on anecdotal evidence of user needs, intuitive feelings for user information seeking behavior, and a priori assumptions of typical usage scenarios. Emphasis has been placed on basic research into music document representation, efficient searching, and audio-based searching, rather than on(More)
This paper analyzes a set of 161 music-related information requests posted to the newsgroup. These postings are categorized by the types of detail used to characterize the poster's information need, the type of music information requested, the intended use for the information, and additional social and contextual elements present(More)
As experimental digital library testbeds gain wider acceptance and develop significant user bases, it becomes important to investigate the ways in which users interact with the systems in practice. Transaction logs are one source of usage information, and the information on user behavior can be culled from them both automatically (through calculation of(More)
The WEKA (Waikato Environment for Knowledge Analysis) system provides a comprehensive suite of facilities for applying data mining techniques to large data sets. This paper discusses a process model for analyzing data, and describes the support that WEKA provides for this model. The domain model ‘learned’ by the data mining algorithm can then be readily(More)
Phrase browsing techniques use phrases extracted automatically from a large information collection as a basis for browsing and accessing it. This paper describes a case study that uses an automatically constructed phrase hierarchy to facilitate browsing of an ordinary large Web site. Phrases are extracted from the full text using a novel combination of(More)
This paper presents an analysis of how people construct playlists and mixes. Interviews with practitioners and postings made to a web site are analyzed using a grounded theory approach to extract themes and categorizations. The information sought is often encapsulated as music information retrieval tasks, albeit not as the traditional “known item search”(More)