Prediction of User Opinion for Products - A Bag-of-Words and Collaborative Filtering based Approach

Esteban García-Cuesta, Daniel Gómez-Vergel, Luis Gracias Expósito, María Vela-Pérez

Abstract

The rapid proliferation of social network services (SNS) gives people the opportunity to express their thoughts, opinions, and tastes on a wide variety of subjects such as movies or commercial items. Most item shopping websites currently provide SNS systems to collect users’ opinions, including rating and text reviews. In this context, user modeling and hyper-personalization of contents reduce information overload and improve both the efficiency of the marketing process and the user’s overall satisfaction. As is well known, users’ behavior is usually subject to sparsity and their preferences remain hidden in a latent subspace. A majority of recommendation systems focus on ranking the items by describing this subspace appropriately but neglect to properly justify why they should be recommended based on the user’s opinion. In this paper, we intend to extract the intrinsic opinion subspace from users’ text reviews –by means of collaborative filtering techniques– in order to capture their tastes and predict their future opinions on items not yet reviewed. We will show how users’ reviews can be predicted by using a set of words related to their opinions.

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Paper Citation


in Harvard Style

García-Cuesta E., Gómez-Vergel D., Gracias Expósito L. and Vela-Pérez M. (2017). Prediction of User Opinion for Products - A Bag-of-Words and Collaborative Filtering based Approach . In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-222-6, pages 233-238. DOI: 10.5220/0006209602330238


in Bibtex Style

@conference{icpram17,
author={Esteban García-Cuesta and Daniel Gómez-Vergel and Luis Gracias Expósito and María Vela-Pérez},
title={Prediction of User Opinion for Products - A Bag-of-Words and Collaborative Filtering based Approach},
booktitle={Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2017},
pages={233-238},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006209602330238},
isbn={978-989-758-222-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Prediction of User Opinion for Products - A Bag-of-Words and Collaborative Filtering based Approach
SN - 978-989-758-222-6
AU - García-Cuesta E.
AU - Gómez-Vergel D.
AU - Gracias Expósito L.
AU - Vela-Pérez M.
PY - 2017
SP - 233
EP - 238
DO - 10.5220/0006209602330238