| Component id | Jorge#3_DynamicExploration |
|---|---|
| Type | Story |
| Name | Dynamic exploration |
| Description | Jorge accesses to a part of the collection and is overwhelmed by the number of scores and their heterogeneity. |
| Work package | |
| Pilot | |
| Related components |
Persona:
Story:
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| Persona |
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Dynamic exploration
Persona
Jorge
Goal
Jorge accesses to a part of the collection and is overwhelmed by the number of scores and their heterogeneity. Thus he expects the system to propose a set of means to refine the search, based on “facets” that partition the current result in a meaningful way.
Scenario
Instead of showing a list containing thousands of scores, the result is organized in groups, and each group is characterized by a distinctive property value. These group can be determined on the fly: if one accesses to the collection of a composer for instance, then relevant groups are the period of composition, the style, the genre, etc. If, instead, the initial access is on a genre, then grouping include composers.
A nice feature would be to determine on the fly a partitioning of scores based on their salient patterns, if relevant.
Competency questions
CQ1: What are the most relevant dimensions to classify on the fly a result set ?
CQ2: What features can be extracted on the fly from a score content to partition in a meaning ful way a score collection?