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Publications

Publications by Alípio Jorge

2018

Proceedings of the First Workshop on Narrative Extraction From Text (Text2Story 2018) co-located with 40th European Conference on Information Retrieval (ECIR 2018), Grenoble, France, March 26, 2018

Authors
Jorge, AM; Campos, R; Jatowt, A; Nunes, S;

Publication
Text2Story@ECIR

Abstract

2017

Raman imaging studies on the adsorption of methylene blue species onto silver modified linen fibers

Authors
Fateixa, S; Wilhelm, M; Jorge, AM; Nogueira, HIS; Trindade, T;

Publication
JOURNAL OF RAMAN SPECTROSCOPY

Abstract
We demonstrate in this research that surface-enhanced resonance Raman scattering combined with Raman imaging can be effectively used for analysis of distinct forms of organic dyes in antimicrobial Ag-loaded textile fibers. The potential of this approach, as a non-destructive characterization method of fabrics, was evaluated with Raman studies performed on the molecular forms of methylene blue (MB), used here as the organic dye model. On the basis of the surface-enhanced Raman scattering spectra of MB monomers and dimers, the Raman imaging of Ag-loaded linen fibers previously treated with MB solution was performed and then used for identification of the adsorbate species in distinct regions of the substrates. A semi-quantitative analysis is then performed by considering the area of the Raman bands ascribed to the MB molecular forms and image analysis applied to Raman images. Copyright (c) 2017 John Wiley & Sons, Ltd.

2014

Measuring the effectiveness of an e-commerce site throughweb and sales activity

Authors
Carneiro, AR; Jorge, AM; Brito, PQ; Domingues, MA;

Publication
Springer Proceedings in Mathematics and Statistics

Abstract

2018

First International Workshop on Narrative Extraction from Texts: Text2Story 2018

Authors
Jorge, AM; Campos, R; Jatowt, A; Nunes, S;

Publication
ADVANCES IN INFORMATION RETRIEVAL (ECIR 2018)

Abstract

2018

Preface

Authors
Jorge, AM; Campos, R; Jatowt, A; Nunes, S;

Publication
CEUR Workshop Proceedings

Abstract

2018

Incremental Matrix Co-factorization for Recommender Systems with Implicit Feedback

Authors
Anyosa, SC; Vinagre, J; Jorge, AM;

Publication
Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018

Abstract
Recommender systems try to predict which items a user will prefer. Traditional models for recommendation only take into account the user-item interaction, usually expressed by explicit ratings. However, in these days, web services continuously generate auxiliary data from users and items that can be incorporated into the recommendation model to improve recommendations. In this work, we propose an incremental Matrix Co-factorization model with implicit user feedback, considering a real-world data-stream scenario. This model can be seen as an extension of the conventional Matrix Factorization that includes additional dimensions to be decomposed in the common latent factor space. We test our proposal against a baseline algorithm that relies exclusively on interaction data, using prequential evaluation. Our experimental results show a significant improvement in the accuracy of recommendations, after incorporating an additional dimension in three music domain datasets. © 2018 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC BY 4.0 License.

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