Indexing institutional data to promote library resource discovery

ABSTRACT

Most academic research libraries provide subject guides or data-driven subject portals on their websites to help users find information resources by topical research area. Unfortunately, these guides and portals are underutilized because users fail to discover them in their information search process. We describe an approach in development at NCSU to increase the discovery of library subject portals, and topically organized library resources in general. This approach exploits the rich topical content in available institutional data stores to generate subject recommendations related to the user's search query.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Search process

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Retrieval models

General Terms:
Algorithms, Experimentation

Keywords:
categorization, information retrieval, recommender systems