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Prediction of user opinion for products: A bag-of-words and collaborative filtering based approach

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dc.contributor.author García Cuesta, Esteban
dc.contributor.author Gómez Vergel, Daniel
dc.contributor.author Gracia Exposito, Luís Miguel
dc.contributor.author Vela Pérez, María
dc.date.accessioned 2017-05-04T11:02:19Z
dc.date.available 2017-05-04T11:02:19Z
dc.date.issued 2017
dc.identifier.citation García-Cuesta, E., Gómez-Vergel, D., Gracias Expósito, L., & 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 (February 24-26, 2017, in Porto, Portugal) (pp. 233-238). spa
dc.identifier.isbn 9789897582226
dc.identifier.uri http://hdl.handle.net/11268/6365
dc.description.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. spa
dc.description.sponsorship 2016/UEM16 spa
dc.language.iso eng spa
dc.title Prediction of user opinion for products: A bag-of-words and collaborative filtering based approach spa
dc.type conferenceObject spa
dc.description.impact No data (2017) spa
dc.rights.accessRights closedAccess en
dc.subject.uem Redes sociales en Internet spa
dc.subject.uem Medios de comunicación social spa
dc.subject.unesco Medios sociales spa
dc.description.filiation UEM spa
dc.peerreviewed Si spa


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