Rating Prediction with Contextual Conditional Preferences

Aleksandra Karpus, Tommaso Di Noia, Paolo Tomeo, Krzysztof Goczyla

2016

Abstract

Exploiting contextual information is considered a good solution to improve the quality of recommendations, aiming at suggesting more relevant items for a specific context. On the other hand, recommender systems research still strive for solving the cold-start problem, namely where not enough information about users and their ratings is available. In this paper we propose a new rating prediction algorithm to face the cold-start system scenario, based on user interests model called contextual conditional preferences. We present results obtained with three publicly available data sets in comparison with several state-of-the-art baselines. We show that usage of contextual conditional preferences improves the prediction accuracy, even when all users have provided a few feedbacks, and hence small amount of data is available.

Paper Citation

in Harvard Style

Karpus A., Di Noia T., Tomeo P. and Goczyla K. (2016). Rating Prediction with Contextual Conditional Preferences . In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016) ISBN 978-989-758-203-5, pages 419-424. DOI: 10.5220/0006083904190424

in Bibtex Style

@conference{kdir16,
author={Aleksandra Karpus and Tommaso Di Noia and Paolo Tomeo and Krzysztof Goczyla},
title={Rating Prediction with Contextual Conditional Preferences},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)},
year={2016},
pages={419-424},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006083904190424},
isbn={978-989-758-203-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2016)
TI - Rating Prediction with Contextual Conditional Preferences
SN - 978-989-758-203-5
AU - Karpus A.
AU - Di Noia T.
AU - Tomeo P.
AU - Goczyla K.
PY - 2016
SP - 419
EP - 424
DO - 10.5220/0006083904190424