Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Recommending scientific papers through a method based on bibliometric measures

Authors
Álvaro Tejada-Lorente, Carlos Porcel, Juan Bernabé-Moreno, Enrique Herrera-Viedma
Corresponding Author
Álvaro Tejada-Lorente
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.72How to use a DOI?
Keywords
Recommender systems, item quality, fuzzy linguistic modeling, papers recommendation
Abstract
We present a quality-based fuzzy linguistic recommender system for researchers. We propose the use of some bibliometrics measures as the way to quantify the quality of both items and users. The system takes into account the measured quality as the main factor for the re-ranking of the top-N recommendations list in order to point researchers to the latest and the best papers in their domain. To prove the accuracy improvement, we conduct a study involving different recommendation approaches. The results obtained proved to be satisfactory within the research departments who took part on the tests.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Álvaro Tejada-Lorente
AU  - Carlos Porcel
AU  - Juan Bernabé-Moreno
AU  - Enrique Herrera-Viedma
PY  - 2015/06
DA  - 2015/06
TI  - Recommending scientific papers through a method based on bibliometric measures
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 498
EP  - 505
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.72
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.72
ID  - Tejada-Lorente2015/06
ER  -