The Bibliotelemetry of Information and Environment: an Evaluation of IoT-Powered Recommender Systems
This work addresses the specific problem of enhancing digital resource recommendations for library users through IoT integration, representing an incremental improvement in domain-specific applications.
The study tackled the problem of providing location-based recommendations in library environments using IoT infrastructure, resulting in a modular evaluation method called Bibliotelemetry that analyzes user requests and subject areas.
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.