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Mining and Analyzing Digital Archive Usage Data to Support Collection Development Decisions

机译:挖掘和分析数字归档使用数据以支持集合开发决策

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We demonstrate a "collection development decision support tool" that mines digital archive usage data. We want to better understand the University of Southern California (USC) Digital Archive's collection structure by analyzing the objects' characteristics, by analyzing the relationships between viewed objects, and by understanding usage trends over time. By relying on implicit patterns of usage data, such as co-retrievals, rather than explicit data, such as hit counts, we believe we can make more informed decisions about where to expend our resources.
机译:我们展示了挖掘数字归档使用数据的“集合开发决策支持工具”。我们希望通过分析观看对象之间的关系,通过分析对象的特征来更好地了解南加州大学(USC)数字档案的集合结构,并通过了解使用趋势随着时间的推移。通过依靠隐含的使用数据模式,例如共同检索,而不是明确的数据,例如打击计数,我们相信我们可以为支出我们的资源的地方做出更明智的决策。

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