TransRev: Modeling Reviews as Translations from Users to Items

Partner responsible/main author: NEC Authors: Alberto García-Durán, Roberto González, Daniel Oñoro-Rubio, Mathias Niepert and Hui Li Published in: ECIR 2020, Springer The text of a review expresses the sentiment a customer has towards a particular product. This is exploited in sentiment analysis where machine learning models are used to predict the review score from the…

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Webinar – New challenges for data regulation beyond the GDPR: “How to assess risks and develop tools in an era of AI?”

What approaches are being taken to tackle the policy challenges within the big data landscape, and how are these solutions coping in reality? During the webinar Daniel Bachlechner, Fraunhofer ISI and e-SIDES representative, discussed the organizational and technical challenges that privacy-preserving big data technologies present, and how an increased level of dialogue between stakeholders can…

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Public Deliverables

Please find here after the non-exhaustive list of deliverables approved for the SMOOTH project. SMOOTH_D1.1_Project Administrative toolset SMOOTH_D1.2_Project quality plan SMOOTH_D2.2_20190131 First version of entry questionnaire and design of interactive HandBook SMOOTH_D3.1_20190131 Design algorithms for analysing GDPR elements and document complexity SMOOTH_D4.1_20190131 Design of methods for data ingestion, algorithms for personal data identification and privacy…

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An Ad-Driven Measurement Technique for Monitoring the Browser Marketplace

Partner responsible/main author: UC3M Authors: Patricia Callejo, Rubén Cuevas, Ángel Cuevas. Published in: IEEE Access, IEEE In this paper we present a novel active measurement methodology for monitoring the browser market landscape. It leverages the display ads delivered through online advertising campaigns to collect the browser brand and version of the device receiving the ad.…

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