Recommending research articles using citation data

Autor: Andre Vellino

Publikováno v: Library Hi Tech, 2015, Vol. 33, Issue 4, pp. 597-609.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/LHT-06-2015-0063

Harmonizing the Metadata Among Diverse Climate Change Datasets

Autor: Andre Vellino

Publikováno v: International Journal of Digital Curation, Vol 10, Iss 1, Pp 268-279 (2015)
International Journal of Digital Curation; Vol 10, No 1 (2015); 268-279
Andre Vellino

One of the critical problems in the curation of research data is the harmonization of its internal metadata schemata. The value of harmonizing such data is well illustrated by the Berkeley Earth project, which successfully integrated into one metadat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0210dceae945b8d716d8da13659d5f34
https://doi.org/10.2218/ijdc.v10i1.367

A Hybrid, Multi-dimensional Recommender for Journal Articles in a Scientific Digital Library

Autor: Andre Vellino, David Zeber

Publikováno v: 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops.

A recommender system for scientific scholarly articles that is both hybrid (content and collaborative filtering based) and multi-dimensional (across metadata categories such as subject hierarchies, journal clusters and keyphrases) can improve scienti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::664110a868b4bbf19799005e9710ff7a
https://doi.org/10.1109/wi-iatw.2007.29