A content-based literature recommendation system for datasets to improve data reusability – A case study on Gene Expression Omnibus (GEO) datasets-Reference-Cited by-同舟云学术

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A content-based literature recommendation system for datasets to improve data reusability – A case study on Gene Expression Omnibus (GEO) datasets

Published:2020-04 Issue: Volume:104 Page:103399
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Patra Braja Gopal^ORCID,Maroufy Vahed,Soltanalizadeh Babak,Deng Nan,Zheng W. Jim^ORCID,Roberts Kirk^ORCID,Wu Hulin

Funder

Cancer Prevention and Research Institute of Texas

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference36 articles.

1. Parallel Collaborative Filtering for Streaming Data;Ali,2011

2. Lessons from the netflix prize challenge;Bell;Acm Sigkdd Explor. Newslett.,2007

3. Improving a hybrid literary book recommendation system through author ranking;Vaz,2012

4. A contextual-bandit approach to personalized news article recommendation;Li,2010

5. Science Concierge: A fast content-based recommendation system for scientific publications;Achakulvisut;PloS One,2016

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