  Internet of Things (IoT) infrastructure within the physical library
environment is the basis for an integrative, hybrid approach to digital
resource recommenders. The IoT infrastructure provides mobile, dynamic
wayfinding support for items in the collection, which includes features for
location-based recommendations. A modular evaluation and analysis herein
clarified the nature of users' requests for recommendations based on their
location and describes subject areas of the library for which users request
recommendations. The modular mobile design allowed for deep exploration of
users' bibliographic identifiers throughout the global module system, serving
to provide context to the browsing data that are the focus of this study.
Bibliotelemetry is introduced as an evaluation method for IoT middleware within
library collections.
