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Benedita Malheiro

As seen in: Wiley Online Library, arXiv, IEEE
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Articles by Benedita Malheiro

[2406.15038] Online detection and infographic explanation of spam reviews with data drift adaptation

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By de Arriba-Pérez, Silvia García-Méndez, Fátima Leal, Benedita Malheiro
| arXiv
[Submitted on 21 Jun 2024] Title:Online detection and infographic explanation of spam reviews with data drift adaptation View a PDF of the paper titled Online detection and infographic explanation of spam reviews with data drift adaptation, by Francisco de Arriba-P\'erez and 4 other authors View PDF HTML (experimental) Abstract:Spam reviews are a pervasive problem on online platforms due to its significant impact on reputation. However, research into spam detection in data streams is scarce.
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Interpretable Classification of Wiki-Review Streams

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By Fátima Leal, Benedita Malheiro, Silvia García-Méndez, Juan Carlos Burguillo-Rial
| IEEE
Wiki-based platforms, like Wikipedia,1 WikiVoyage2 or WikiNews3 are collaboratively maintained by voluntary editors who share their wisdom about a topic, entity, or city. When editors create and refine wiki articles, they generate a continuous stream of events indistinctly referred to as edits or reviews. Specifically, wiki editors can add, edit, and revert reviews. As such, wikis are modern-day oracles maintained by and for the crowd, simultaneously empowering and impacting it.
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Telco customer top‐ups: Stream‐based multi‐target regression

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By Pedro Alves, Ricardo Filipe, Benedita Malheiro
| Wiley Online Library Verified
Abstract Telecommunication operators compete not only for new clients, but, above all, to maintain current ones. The modelling and prediction of the top-up behaviour of prepaid mobile subscribers allows operators to anticipate customer intentions and implement measures to strengthen customer relationship.
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