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

该提案探讨了使用推荐系统技术将个人引导到大量藏书的一部分，作为帮助图书馆用户和图书馆管理员的工具。这项拟议的研究建立在研究表明推荐者可以有效地帮助研究人员完成与现有文献相关的额外引用这一特定任务的基础上。应用程序将在关于新图书馆服务设计的三组关键研究问题的背景下进行研究：(1)关于文章元数据的问题关于作者、引文、地点和其他相关信息的有价值的信息，以及如何挖掘元数据以更好地指导图书馆用户。(2)关于针对不同信息需求的推荐算法的问题，特别是跨元数据类型的算法(例如，从引文中查找人或从分类数据中查找引文)的算法，以及可供图书馆员和其他高级用户用来合成新的推荐类型的算法模块工具包的设计。(3)关于用户界面的问题，以使各种不同的用户，从学生到有经验的图书馆员，都可以使用和有效地使用这些工具。最终，该研究将为数字数据库领域以及推荐系统和人机交互的研究领域做出新的贡献。

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.