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MusicLand Exploratory Browsing in Music Space University of British Columbia Heidi Lam, Tamara Munzner. 1. 3. 2. 1. 3. 2. Imager Laboratory. Exploratory browsing: not well supported by current search tools Exploratory: discover local neighborhood of interest
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MusicLandExploratory Browsing in Music SpaceUniversity of British ColumbiaHeidi Lam, Tamara Munzner 1 3 2 1 3 2 Imager Laboratory Exploratory browsing:not well supported by current search tools Exploratory: discover local neighborhood of interest Browsing: surf neighborhoods in detail • Users only have a fuzzy target in mind • Need to refine or even define their search target while searching Imagine exploring and browsing in a large music collection… hm… I want to find something soothing, peacefulandcarefree User selects and zooms into music record User initializes search with possible query terms Provides structure for search results as a modified 3-term Venn diagram 0.19" Maximizes information density with 4 levels of semantic zooming User selects terms to generate a new query The ideal visualization should… Provide context as input terms to interpret query results—“what am I looking at?” Suggest options for browsing —“what can I look for?” Guide navigation into new queries—“given where I have been, where should I go next?” Provides descriptors of pre-tagged music* *MusicLand uses the MILQ machine-learning software (http://www.cs.ubc.ca/~ebrochu/milq.htm) User continues with query activities Retains all the previous queries as a trail of the user’s query history Links old query to new query to depict query evolution