NDLI: An Extensible Recommendation System for Health Research

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An Extensible Recommendation System for Health Research

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An Extensible Recommendation System for Health Research

Content Provider	ACM Digital Library
Author	Kale, Yogesh S. Dai, Xiangfeng Petrie, Samantha E. Topal, Michael D. Bikdash, Marwan Meyer, Bradley
Abstract	A challenge for basic and clinical biomedical researchers is to determine the particular technologies that can play a role in their research. Core facilities house, centralize, and specialize in particular services and technologies important to biomedical research. At the University of North Carolina at Chapel Hill, over 70 core facilities are available for such use, many with multiple technologies and services. In this paper, we design an Extensible Recommendation System (ERS) to aid investigators in finding which core facilities may impact their research. Recommendation techniques are applied to enhance the process of recognition of technologies and collaborators in a modern biomedical research environment. The architecture of the system has two parts: a core foundation module and extensible module. The foundation module follows from a CMS framework called Plone that handles the basic functions like database queries, user login, etc. The extensible module has a few components such as search component, a recommendation component, etc. The extensible module is designed to be flexible, in that it can be extended by as many recommendation algorithms as we need. In this paper, we compare several recommender systems for biomedical core research facilities. Our simulation results show that the recommender system based on Graph-Theoretic performs best amongst few similar recommenders.
Starting Page	95
Ending Page	101
Page Count	7
File Format	PDF
ISBN	9781450350242
DOI	10.1145/3077286.3077296
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-04-13
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Plone Collaborative filtering Health Similarity measures Content management system Cms Recommendation systems Knowledge management Website design
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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