International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
Abstract
Research are increasing in an exponential quantity daily which wasted alot of time and effort in finding interesting and relevant publications over the internet. In this study, we proposed a conceptual framework that can likely extract data from researcher profiles, synthesize the data and provide personalized recommendations. The conceptual framework can also learned from the researcher’s response after recommendation in order to systematically adjust the result of the recommendations. This alternative approach is expected to provide more accurate and relevant research studys to the researchers more than the previous methods. This in turn may solve the problem of information overload. Future research directions are provided in the study.
How to cite this article:
Khalid Haruna and Maizatul Akmar Ismail. An Ontological Framework for Research Paper Recommendation.
DOI: https://doi.org/10.36478/ijscomp.2016.96.99
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2016.96.99