The Bibliotelemetry of Information and Environment: an Evaluation of IoT-Powered Recommender Systems

TL;DR

This paper evaluates IoT-powered recommender systems in libraries, focusing on how location-based data and bibliotelemetry can enhance digital resource recommendations and user experience.

Contribution

It introduces bibliotelemetry as a novel evaluation method for IoT middleware in library environments and analyzes user requests based on location and subject areas.

Findings

Users request recommendations based on location and subject areas.

The modular mobile design enables deep exploration of bibliographic identifiers.

Bibliotelemetry provides valuable insights into user interactions with IoT systems.

Abstract

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.