Search Results - "Almeida, Jussara M"

A quantitative analysis of the impact of explicit incorporation of recency, seasonality and model specialization into fine-grained tourism demand prediction models by Khatibi, Amir, Couto da Silva, Ana Paula, Almeida, Jussara M, Gonçalves, Marcos A

“…Forecasting is of utmost importance for the Tourism Industry. The development of models to predict visitation demand to specific places is essential to…”
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On network backbone extraction for modeling online collective behavior by Gomes Ferreira, Carlos Henrique, Murai, Fabricio, Silva, Ana P C, Trevisan, Martino, Vassio, Luca, Drago, Idilio, Mellia, Marco, Almeida, Jussara M

“…Collective user behavior in social media applications often drives several important online and offline phenomena linked to the spread of opinions and…”
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On estimating the predictability of human mobility: the role of routine by Teixeira, Douglas do Couto, Almeida, Jussara M., Viana, Aline Carneiro

“…Given the difficulties in predicting human behavior, one may wish to establish bounds on our ability to accurately perform such predictions. In the case of…”
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Effects of population mobility on the COVID-19 spread in Brazil by Chagas, Eduarda T C, Barros, Pedro H, Cardoso-Pereira, Isadora, Ponte, Igor V, Ximenes, Pablo, Figueiredo, Flávio, Murai, Fabricio, Couto da Silva, Ana Paula, Almeida, Jussara M, Loureiro, Antonio A F, Ramos, Heitor S

“…This article proposes a study of the SARS-CoV-2 virus spread and the efficacy of public policies in Brazil. Using both aggregated (from large Internet…”
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A large-scale study of cultural differences using urban data about eating and drinking preferences by Silva, Thiago H., Vaz de Melo, Pedro O.S., Almeida, Jussara M., Musolesi, Mirco, Loureiro, Antonio A.F.

“…•Study of spatio-temporal properties of user’s food and drink preferences worldwide.•Proposition of a new methodology for identifying cultural…”
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Gender matters! Analyzing global cultural gender preferences for venues using social sensing by Mueller, Willi, Silva, Thiago H, Almeida, Jussara M, Loureiro, Antonio AF

“…Gender differences is a phenomenon around the world actively researched by social scientists. Traditionally, the data used to support such studies is manually…”
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A hierarchical network-oriented analysis of user participation in misinformation spread on WhatsApp by Nobre, Gabriel Peres, Ferreira, Carlos H.G., Almeida, Jussara M.

“…WhatsApp emerged as a major communication platform in many countries in the recent years. Despite offering only one-to-one and small group conversations,…”
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Infodemics and health misinformation: a systematic review of reviews by Borges do Nascimento, Israel Júnior, Pizarro, Ana Beatriz, Almeida, Jussara M, Azzopardi-Muscat, Natasha, Gonçalves, Marcos André, Björklund, Maria, Novillo-Ortiz, David

“…To compare and summarize the literature regarding infodemics and health misinformation, and to identify challenges and opportunities for addressing the issues…”
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On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study by Cunha, Washington, Mangaravite, Vítor, Gomes, Christian, Canuto, Sérgio, Resende, Elaine, Nascimento, Cecilia, Viegas, Felipe, França, Celso, Martins, Wellington Santos, Almeida, Jussara M., Rosa, Thierson, Rocha, Leonardo, Gonçalves, Marcos André

“…This article brings two major contributions. First, we present the results of a critical analysis of recent scientific articles about neural and non-neural…”
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A survey on tag recommendation methods by Belém, Fabiano M., Almeida, Jussara M., Gonçalves, Marcos A.

“…Tags (keywords freely assigned by users to describe web content) have become highly popular on Web 2.0 applications, because of the strong stimuli and easiness…”
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A quantitative analysis of the impact of explicit incorporation of recency, seasonality and model specialization into fine-grained tourism demand prediction models by Amir Khatibi, Ana Paula Couto da Silva, Jussara M. Almeida, Marcos A. Gonçalves

“…Forecasting is of utmost importance for the Tourism Industry. The development of models to predict visitation demand to specific places is essential to…”
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TrendLearner: Early prediction of popularity trends of user generated content by Figueiredo, Flavio, Almeida, Jussara M., Gonçalves, Marcos A., Benevenuto, Fabricio

“…Predicting the popularity of user generated content (UGC) is a valuable task to content providers, advertisers, as well as social media researchers. However,…”
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Predicting the popularity of micro-reviews: A Foursquare case study by Vasconcelos, Marisa, Almeida, Jussara M., Gonçalves, Marcos André

“…We tackle the problem of predicting the future popularity level of micro-reviews, focusing on Foursquare tips, whose high degree of informality and briefness…”
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Fine-grained tourism prediction: Impact of social and environmental features by Khatibi, Amir, Belém, Fabiano, Couto da Silva, Ana Paula, Almeida, Jussara M., Gonçalves, Marcos A.

“…•Exploiting Social Media and Environmental features to perform accurate fine-grained (attraction-level) predictions.•Accurate prediction results (MAPE < 25%)…”
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A network-driven study of hyperprolific authors in computer science by Vieira, Vinícius da F., Ferreira, Carlos H. G., Almeida, Jussara M., Moreira, Edré, Laender, Alberto H. F., Meira, Wagner, Gonçalves, Marcos André

“…Scientific authors’ collaborations are influenced by various factors, such as their field, geographic region, and institutional role. Here we focus on a group…”
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Characterizing fashion influencers’ behavior on instagram by Cruz, João Paulo Oliveira, Passaro, Lucia C, Almeida, Jussara M, Marques-Neto, Humberto Torres

“…In recent years, the growth of social media platforms has led to an increase in the number of influencers who work in/for the fashion industry - these…”
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On network backbone extraction for modeling online collective behavior by Carlos Henrique Gomes Ferreira, Fabricio Murai, Ana P C Silva, Martino Trevisan, Luca Vassio, Idilio Drago, Marco Mellia, Jussara M Almeida

“…Collective user behavior in social media applications often drives several important online and offline phenomena linked to the spread of opinions and…”
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“Fixing the curse of the bad product descriptions” – Search-boosted tag recommendation for E-commerce products by Belém, Fabiano M., Silva, Rodrigo M., de Andrade, Claudio M.V., Person, Gabriel, Mingote, Felipe, Ballet, Raphael, Alponti, Helton, de Oliveira, Henrique P., Almeida, Jussara M., Gonçalves, Marcos A.

“…•We perform a study on the tagging behavior of sellers in an e-commerce platform.•We design new tag quality attributes that exploit the collective behavior of…”
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MobHet: Predicting human mobility using heterogeneous data sources by Silveira, Lucas M., de Almeida, Jussara M., Marques-Neto, Humberto T., Sarraute, Carlos, Ziviani, Artur

“…•We propose MobHet, a new family of data-driven models for human mobility prediction.•MobHet exploits region popularity, inter-region transitions and user…”
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Modeling large-scale live video streaming client behavior by Guarnieri, Thiago, Drago, Idilio, Cunha, Ítalo, Almeida, Breno, Almeida, Jussara M., Vieira, Alex B.

“…The live streaming of large-scale events over the Internet attracts a highly diverse audience. Despite the progress in streaming technologies, which employ…”
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