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Title:Bibliotelemetry of Information and Environment: Evaluation of an IoT-Powered Recommender System
Author(s):Hahn, James F.
Subject(s):internet of things
IoT
bibliographic classification
academic libraries
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.
Issue Date:2018-11
Publisher:ASIS&T
Citation Info:Hahn, J. (2018). The Bibliotelemetry of Information and Environment: Evaluation of an IoT-Powered Recommender System. Proceedings of the ASIS&T 2018 Annual Meeting, p.151-160.
Genre:Article
Type:Text
Language:English
URI:http://hdl.handle.net/2142/102248
Rights Information:© Jim Hahn 2018
Date Available in IDEALS:2019-01-14


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