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Only the first results count: user-feedback-modified relevance ranking in E-LIB Bremen

机译:仅第一个结果计数:E-LIB不来梅中用户反馈修改的相关性排名

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Since the introduction of new search engine-based library catalogues and resources discovery systems, users have been able to find millions of online documents that are available in parallel to local holdings. Users of these new, continually expanding catalogue systems need to be able to find titles in a convenient way. The quality of recommendation systems and especially relevance ranking methods is very important for the success of discovery catalogues. Up to now, library catalogue ranking methods have largely ignored user feedback. However, in 2011, the State and University Library Bremen (SuUB) developed modified ranking methods for its own discovery system, Electronic Library Bremen (E-LIB Bremen). These make use of popularity factors such as click statistics and information about the number of editions published as well as how many copies of a given title are available. This customized development has enabled fast and flexible new retrieval functions to meet the needs of local users.
机译:自从引入新的基于搜索引擎的图书馆目录和资源发现系统以来,用户已经能够找到与本地馆藏同时提供的数百万个在线文档。这些不断扩展的新目录系统的用户需要能够以方便的方式查找标题。推荐系统的质量,尤其是相关性排名方法,对于发现目录的成功非常重要。到目前为止,图书馆目录排名方法基本上忽略了用户反馈。但是,2011年,不来梅州立大学和大学图书馆(SuUB)为自己的发现系统电子不来梅电子图书馆(E-LIB Bremen)开发了改进的排名方法。这些利用了诸如点击统计和有关已发行版本的数量以及给定标题的可用数量的信息之类的受欢迎程度因素。这种定制的开发使快速,灵活的新检索功能可以满足本地用户的需求。

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