Searching and Ranking Educational Resources based on Terms Clustering

Marina A. Hoshiba Pimentel, Israel Barreto Sant'Anna, Marcos Didonet Del Fabro

Abstract

Open Educational Resources (OER) are important digital assets used for teaching and learning. There exists different repositories, but searching for such items is often a difficult task. On one hand, most part of the solutions implement engines with syntactic search based on term frequency metrics, or using the only item's metadata. On the other hand, the utilization of terms clustering (TC) have been used in other search and ranking contexts and they have shown to be effective. In this paper, we present an approach for searching and ranking for Open Educational Resources within a repository of objects, defining a set of tasks and an hybrid metric that integrates different ranking metrics obtained through terms clustering with the results of existing search engines (SE). We present an extensive implementation and experiments to validate our approach. The results empirically showed that our approach is effective to rank relevant OERs.

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Paper Citation


in Harvard Style

Hoshiba Pimentel M., Barreto Sant'Anna I. and Didonet Del Fabro M. (2018). Searching and Ranking Educational Resources based on Terms Clustering.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-298-1, pages 507-516. DOI: 10.5220/0006647305070516


in Bibtex Style

@conference{iceis18,
author={Marina A. Hoshiba Pimentel and Israel Barreto Sant'Anna and Marcos Didonet Del Fabro},
title={Searching and Ranking Educational Resources based on Terms Clustering},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2018},
pages={507-516},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006647305070516},
isbn={978-989-758-298-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Searching and Ranking Educational Resources based on Terms Clustering
SN - 978-989-758-298-1
AU - Hoshiba Pimentel M.
AU - Barreto Sant'Anna I.
AU - Didonet Del Fabro M.
PY - 2018
SP - 507
EP - 516
DO - 10.5220/0006647305070516