The Melvyl Recommender Project
explored next-generation services for library catalogs, has reached its
conclusion. This project was funded by the Andrew W. Mellon Foundation.
Popular commercial services such as Google, eBay, Amazon, and Netflix
have evolved quickly over the last decade to help people find what they
want, developing information retrieval strategies such as usefully
ranked results, spelling correction, and recommendations. Library
catalogs, in contrast, have changed little and are not well equipped to
meet changing needs and expectations.
The Melvyl Recommender Project explored methods and feasibility of
closing this gap. An additional extension project to the Melvyl
Recommender Project carried out deeper explorations into the most
interesting and promising questions raised during the original project,
and to add obvious missing pieces of functionality. The principal area
of investigation was the impact of adding full-text objects to what had
previously been a metadata-only index.
Read all about the project here: