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Fabiana Lorenzi

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2010 – today

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2018
[c16]
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Fabiana Lorenzi, André Peres:
Amigo: A Tool that Helps Consumer Decision Making in E-Commerce. FLAIRS Conference 2018: 50-55
[c15]
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Rhuan Barros, André Peres, Fabiana Lorenzi, Leandro Krug Wives, Etiene Hubert da Silva Jaccottet:
Case Law Analysis with Machine Learning in Brazilian Court. IEA/AIE 2018: 857-868
2017
[c14]
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Fabiana Lorenzi, Rodrigo G. da Rosa, Alessandra Peres, Gilson Pires Dorneles, André Peres, Francesco Ricci:
Tailoring Training for Obese Individuals with Case-Based Reasoning. BCB 2017: 142-147
2015
[c13]
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André Peres, Evandro Manara Miletto, Fabiana Lorenzi, Elidiane Zayaeskoski, Gianfranco Meneguz, Ramon Costa da Silva:
Using Web Collaboration to Create New Physical Learning Objects. WISE (2) 2015: 139-148
2014
[c12]
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Fabiana Lorenzi, Bruno Fontanella, Edson Prestes, André Peres:
How to Improve Multi-Agent Recommendations Using Data from Social Networks? FLAIRS Conference 2014
2011
[j2]
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Fabiana Lorenzi, Ana L. C. Bazzan, Mara Abel, Francesco Ricci:
Improving recommendations through an assumption-based multiagent approach: An application in the tourism domain. Expert Syst. Appl. 38(12): 14703-14714 (2011)
[c11]
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Fabiana Lorenzi, Stanley Loh, Mara Abel:
PersonalTour: A Recommender System for Travel Packages. IAT 2011: 333-336
[c10]
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Fabiana Lorenzi, Mara Abel, Stanley Loh, André Peres:
Enhancing the Quality of Recommendations through Expert and Trusted Agents. ICTAI 2011: 329-335
2010
[c9]
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Fabiana Lorenzi, Francesco Ricci, Mara Abel, Ana L. C. Bazzan:
Assumption-Based Reasoning for Multiagent Case-Based Recommender Systems. FLAIRS Conference 2010

2000 – 2009

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2009
[c8]
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Stanley Loh, Fabiana Lorenzi, Roger Granada, Daniel Lichtnow, Leandro Krug Wives, José Palazzo Moreira de Oliveira:
Using Scientific Publications to Identify People with Similar Interests. WEBIST (Selected Papers) 2009: 229-241
[c7]
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Stanley Loh, Fabiana Lorenzi, Roger Granada, Daniel Lichtnow, Leandro Krug Wives, José Palazzo Moreira de Oliveira:
Identifying Similar Users by their Scientific Publications to Reduce Cold Start in Recommender Systems. WEBIST 2009: 593-600
2008
[c6]
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  - conf/amec/LorenziCBA008
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Fabiana Lorenzi, Fabio Arreguy Camargo Correa, Ana L. C. Bazzan, Mara Abel, Francesco Ricci:
A Multiagent Recommender System with Task-Based Agent Specialization. AMEC/TADA 2008: 103-116
[c5]
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Stanley Loh, Fabiana Lorenzi, Gabriel Simões, Leandro Krug Wives, José Palazzo Moreira de Oliveira:
Comparing keywords and taxonomies in the representation of users profiles in a content-based recommender system. SAC 2008: 2030-2034
[c4]
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Fabiana Lorenzi, Fernando dos Santos, Paulo Roberto Ferreira Jr., Ana L. C. Bazzan:
Optimizing Preferences within Groups: A Case Study on Travel Recommendation. SBIA 2008: 103-112
2007
[c3]
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Fabiana Lorenzi, Ana L. C. Bazzan, Mara Abel:
Recommending Travel Packages Upon Distributed Knowledge. AAAI 2007: 1886-1887
[c2]
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Fabiana Lorenzi:
A multiagent knowledge-based recommender approach with truth maintenance. RecSys 2007: 195-198
2003
[j1]
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Stanley Loh, Fabiana Lorenzi, Ramiro Saldaña Garin, Daniel Lichtnow:
A Tourism Recommender System Based on Collaboration and Text Analysis. J. of IT & Tourism 6(3): 157-165 (2003)
[c1]
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Fabiana Lorenzi, Francesco Ricci:
Case-Based Recommender Systems: A Unifying View. ITWP 2003: 89-113

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