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Walker, Jeremy; Coleman, Jason – College & Research Libraries, 2021
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…
Descriptors: Artificial Intelligence, Natural Language Processing, Prediction, Library Services
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Dempsey, Paula R. – College & Research Libraries, 2017
This study investigates how reference staff at two libraries balance teaching with resource delivery in live chat reference. Analysis of 410 transcripts from one week shows that one library tends to deliver more resources from a wider range of database suggestions, to take more time in chat interactions, and to incorporate more teaching behavior…
Descriptors: Delivery Systems, College Libraries, Comparative Analysis, Reference Services
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Passonneau, Sarah; Coffey, Dan – College & Research Libraries, 2011
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…
Descriptors: Synchronous Communication, Online Systems, Reference Services, Grounded Theory