This study aims to evaluate the effectiveness and potential utility of using machine learning and natural language processing techniques to develop models that can reliably predict the relative difficulty of incoming chat reference questions. Using a relatively large sample size of chat transcripts (N = 15,690), an empirical experimental design…

Distance librarians often do not have the opportunity to engage face-to-face with users of library services. Without this personal interaction, it can be difficult to evaluate the effectiveness of library services in meeting the needs of the distance learners. Distance librarians may not realize it, but most have a wealth of information at their…

Gathering qualitative information about usage behavior of library Web sites is a time-consuming process requiring the active participation of patron communities. Libraries that collect virtual reference transcripts, however, hold valuable data regarding how the library Web site is used that could benefit Web designers. An analysis of virtual…

Electronic communication technologies continue to change the landscape of reference services. For many users, virtual communication is the preferred means of conversing. Synchronous virtual reference, similar to other synchronous means of communication, is an important method for reaching students and for providing teaching and learning…

This study uses virtual reference transcripts for which patrons completed exit surveys to seek any correlations between user and librarian satisfaction within virtual reference transactions. By analyzing transcripts with a focus on three elements-technology performance, preferred reference practices, and the demonstrated communication levels of…

Introduction: This study investigated unmonitored referrals in a nationwide, collaborative chat reference service. Specifically, it examined the extent to which questions are referred, the types of questions that are more likely to be referred than others, and the level of user satisfaction with the referrals in the collaborative chat reference…