Bibliotelemetry data
Citation:
Hahn, James (2018): Bibliotelemetry data. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2237685_V2
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Dataset Description

Bibliotelemetry data are provided in support of the evaluation of Internet of Things (IoT) middleware within library collections. 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 bibliographic identifiers as they appeared throughout the global module system, serving to provide context to the searching and browsing data that are the focus of this study.

Subject Social Sciences
Keywords internet of things; IoT; academic libraries; bibliographic classification
License CC0
Corresponding Creator James Hahn
Downloaded 523 times

Related Materials:
   Article Hahn, J. (2018). Bibliotelemetry of Information and Environment: an Evaluation of IoT-Powered Recommender Systems. ArXiv e-prints.
   Code Sinclair, S. & Rockwell, G. (2016). Voyant Tools (web application). https://github.com/sgsinclair/Voyant
   Code LumenResearch (2018). GitHub. Heatmappy: Draw image and video heatmaps in python. https://github.com/LumenResearch/heatmappy
Version DOI Comment Publication Date
2 10.13012/B2IDB-2237685_V2 Updated readme file for some minor errors 2018-03-28
1 10.13012/B2IDB-2237685_V1 2018-03-27
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