Evaluation of Requirements Collection Strategies for a Constraint-based Recommender System in a Social e-Learning Platform

Francesco Epifania, Riccardo Porrini

2016

Abstract

The NETT Recommender System (NETT-RS) is a constraint-based recommender system that recommends learning resources to teachers who want to design courses. As for many state-of-the-art constraint-based recommender systems, the NETT-RS bases its recommendation process on the collection of requirements to which items must adhere in order to be recommended. In this paper we study the effects of two different requirement collection strategies on the perceived overall recommendation quality of the NETT-RS. In the first strategy users are not allowed to refine and change the requirements once chosen, while in the second strategy the system allows the users to modify the requirements (we refer to this strategy as backtracking). We run the study following the well established ResQue methodology for user-centric evaluation of RS. Our experimental results indicate that backtracking has a strong positive impact on the perceived recommendation quality of the NETT-RS.

Paper Citation

in Harvard Style

Epifania F. and Porrini R. (2016). Evaluation of Requirements Collection Strategies for a Constraint-based Recommender System in a Social e-Learning Platform . In Proceedings of the 8th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-179-3, pages 376-382. DOI: 10.5220/0005810903760382

in Bibtex Style

@conference{csedu16,
author={Francesco Epifania and Riccardo Porrini},
title={Evaluation of Requirements Collection Strategies for a Constraint-based Recommender System in a Social e-Learning Platform},
booktitle={Proceedings of the 8th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2016},
pages={376-382},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005810903760382},
isbn={978-989-758-179-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Evaluation of Requirements Collection Strategies for a Constraint-based Recommender System in a Social e-Learning Platform
SN - 978-989-758-179-3
AU - Epifania F.
AU - Porrini R.
PY - 2016
SP - 376
EP - 382
DO - 10.5220/0005810903760382