LitRec vs. Movielens - A Comparative Study

Paula Cristina Vaz, Ricardo Ribeiro, David Martins de Matos

2012

Abstract

Recommendation is an important research area that relies on the availability and quality of the data sets in order to make progress. This paper presents a comparative study between Movielens, a movie recommendation data set that has been extensively used by the recommendation system research community, and LitRec, a newly created data set for content literary book recommendation, in a collaborative filtering set-up. Experiments have shown that when the number of ratings of Movielens is reduced to the level of LitRec, collaborative filtering results degrade and the use of content in hybrid approaches becomes important.

Paper Citation

in Harvard Style

Vaz P., Ribeiro R. and Martins de Matos D. (2012). LitRec vs. Movielens - A Comparative Study . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012) ISBN 978-989-8565-29-7, pages 370-373. DOI: 10.5220/0004145003700373

in Bibtex Style

@conference{kdir12,
author={Paula Cristina Vaz and Ricardo Ribeiro and David Martins de Matos},
title={LitRec vs. Movielens - A Comparative Study},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)},
year={2012},
pages={370-373},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004145003700373},
isbn={978-989-8565-29-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2012)
TI - LitRec vs. Movielens - A Comparative Study
SN - 978-989-8565-29-7
AU - Vaz P.
AU - Ribeiro R.
AU - Martins de Matos D.
PY - 2012
SP - 370
EP - 373
DO - 10.5220/0004145003700373