Chapter 2. HAMLET: Neural-Net-Powered Prototypes for Library Discovery

Abstract

Chapter 2 of Library Technology Reports (vol. 55, no. 1), "HAMLET: Neural-Net-Powered Prototypes for Library Discovery"

In this chapter, contributing author Andromeda Yelton discusses HAMLET (How about Machine Learning Enhancing Theses?), a machine learning system that Yelton created. It contains three different prototypes: a recommendation engine, an oracle file uploader, and a literature review buddy. Throughout this piece, she informs readers of neural-net-powered machine learning—what it is and how she used it to create HAMLET—and also discusses the benefits and potential problems associated with such systems. She ends the chapter looking toward the future of this technology and what it means for libraries.