Enhanced Digital Libraries Through Recommendation: Exploring the Use of Citations, Personal Bibliographies, and Metadata to Synthesize Library Services for Individuals

该建议探讨了使用推荐系统技术来引导个人到一个大的集合的一部分，作为一种工具，以帮助图书馆用户和图书馆员一样。建议的研究是建立在研究表明，检索器可以有效地帮助研究人员找到额外的引文密切相关的现有document.Applications的具体任务将在三个关键的研究问题集的设计新的图书馆服务的背景下进行研究：（1）关于文章元数据的问题，关于作者，引用，地点，以及如何挖掘元数据以更好地指导图书馆用户。(2)针对不同信息需求的推荐算法的问题，特别关注跨元数据类型的算法（例如，从引文中找人或从分类数据中找引文），以及设计一个模块化的算法工具包，可供图书馆员和其他高级用户使用，以综合新的推荐类型。(3)关于用户界面的问题，需要使这些工具对各种不同的用户（从学生到有经验的图书馆员）都有效。最后，本文的研究将为数字图书馆领域以及推荐系统和人机交互领域的研究做出新的贡献。

This proposal explores the use of recommender systems technology for guidingindividuals to parts of a large collection as a tool to help library users and librarians alike. Theproposed research is built upon research showing that recommenders can be effective for helpingresearchers with the specific task of finding additional citations germane to an existing document.Applications will be studied in the context of three key sets of research questions about the designof new library services: (1) Questions about article metadata the valuable information about authors,citations, venues, and other related information and how metadata can be mined to better guide libraryusers. (2) Questions about recommender algorithms for a diverse set of information needs, with particularinterest in algorithms that cross metadata types (e.g., finding people from citations or finding citationsfrom taxonomy data) and on the design of a modular toolkit of algorithms that can be used by librariansand other power users to synthesize new recommendation types. (3) Questions about the user interfacesneeded to make such tools accessible to and effective for a variety of different users, from students toexperienced librarians. In the end, the research will make novel contributions to the field of digitallibraries and the research areas of recommender systems and human-computer interaction.