For a comprehensive publication list with citations, check my Google Scholar profile.
Patents
Systems and methods for translating non-natural language data into natural language data Inventors: Dan Jermyn, Luiz Pizzato, Anna Leontjeva, Kaavya Sriskandaraja, Sandeepa Kannangara, Jack Elliott Applicant: Commonwealth Bank of Australia Provisional Australian Patent Filled on 27 June 2024 (IP Australia)
A vector embedder for non-natural language data Inventors: Dan Jermyn, Luiz Pizzato, Anna Leontjeva, Naomi Ranjbar Kermany, Patrick Songco, Jack Elliott Applicant: Commonwealth Bank of Australia Australian Patent Filled on 28 Mar 2024 (IP Australia)
Cryptographic datashare control for blockchain Inventors: David Treat, John Velissarios, Teresa Tung, Luiz Pizzato, Deborah Garand, Atieh Ranjbar Kermany, Chia Jung Chang, and Arjun Sitaraman Krishnan. Applicant: Accenture Global Solutions Limited United States Patent No 10,721,217. 21 July 2020 (USPTO)
Edited
Proceedings of the Second Workshop on Community Mining and People Recommenders Edited by: Jaakko Hollmén, Panagiotis Papapetrou and Luiz Augusto Pizzato ECML/PKDD 2012, Bristol, UK, September 28, 2012 (PDF)
Proceedings of the 1st International Workshop on TV and multimedia personalization (TVM²P 2012) Edited by: Shlomo Berkovsky and Luiz Pizzato UMAP 2012, Montreal, Canada, July 16, 2012 (CEUR-WS)
Proceedings of the First Workshop on Community Mining and People Recommenders Edited by: Panagiotis Papapetrou, Luiz Augusto Pizzato, Aristides Gioni, Xiongcai Cai IEEE ICDM 2011, Vancouver, Canada, 2011 (IEEE) (Bib)
Proceedings of the Australasian Language Technology Association Workshop 2009 Edited by: Luiz Pizzato and Rolf Schwitter Sydney, Australia, 2009 (PDF) (ALTA) (HTML) (Bib)
Peer-reviewed
PD-SRS: Personalized Diversity for a Fair Session-Based Recommendation System Naime Ranjbar Kermany, Luiz Pizzato, Jian Yang, Shan Xue, Jia Wu Service-Oriented Computing. ICSOC 2022. Lecture Notes in Computer Science, vol 13740. Springer, Cham. doi:10.1007/978-3-031-20984-0_23 Springer
A Multi-Stakeholder Recommender System for Rewards Recommendations Naime Ranjbar Kermany, Luiz Pizzato, Thireindar Min, Callum Scott, and Anna Leontjeva Proceedings of the 16th ACM Conference on Recommender Systems (RecSys ‘22). Association for Computing Machinery, New York, NY, USA, 484–487. doi:0.1145/3523227.3547388 ACM
Fair-SRS: A Fair Session-based Recommendation System Naime Ranjbar Kermany, Jian Yang, Jia Wu, and Luiz Pizzato Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (WSDM ‘22). Association for Computing Machinery, New York, NY, USA, 1601–1604. doi:10.1145/3488560.3502191 ACM
A fairness-aware multi-stakeholder recommender system Naime Ranjbar Kermany, Weiliang Zhao, Jian Yang, Jia Wu, Luiz Pizzato World Wide Web (2021). doi:10.1007/s11280-021-00946-8 Springer
Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation Iván Palomares, Carlos Porcel, Luiz Pizzato, Ido Guy, and Enrique Herrera-Viedma Information Fusion, Volume 69, 2021, Pages 103-127, ISSN 1566-2535, doi:10.1016/j.inffus.2020.12.001. (ScienceDirect)
An Ethical Multi-Stakeholder Recommender System Based on Evolutionary Multi-Objective Optimization N. R. Kermany, W. Zhao, J. Yang, J. Wu and L. Pizzato 2020 IEEE International Conference on Services Computing (SCC), 2020, pp. 478-480, doi:10.1109/SCC49832.2020.00074. (IEEE)
Multistakeholder recommendation: Survey and research directions. Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, and Luiz Pizzato. In User Modeling and User-Adapted Interaction (UMUAI). January 2020, Volume 30, Issue 1, pp 127-158 doi:10.1007/s11257-019-09256-1 (Springer)
Recommending people to people: The nature of reciprocal recommenders with a case study in online dating. Luiz Augusto Pizzato, Tomasz Rej, Joshua Akehurst, Irena Koprinska, Kalina Yacef, and Judy Kay User Modeling and User-Adapted Interaction (UMUAI). November 2013, Volume 23, Issue 5, pp 447-488 doi:10.1007/s11257-012-9125-0 (Springer)
Scrutable User Models and Personalised Item Recommendation in Mobile Lifestyle Applications. Rainer Wasinger, James Wallbank, Luiz Pizzato, Judy Kay, Bob Kummerfeld, Matthias Böhmr, and Antonio Krüg Proceedings of the 21st International Conference on User Modeling, Adaptation and Personalization (UMAP 2013). Rome, Italy. June 10-14, 2013, Roma Tre University
The effect of suspicious profiles on people recommenders. Luiz Augusto Pizzato, Joshua Akehurst, Cameron Silvestrini, Irena Koprinska, Kalina Yacef, and Judy Kay Proceedings of the 20th International Conference on User Modeling, Adaptation and Personalization (UMAP 2012). Montreal, Canada. 16-20 July 2012. LNCS 7379, pp. 225–236. Springer, Heidelberg (2012) (Springer)
Using Wikipedia and Conceptual Graph Structures to Generate Questions for Academic Writing Support. Ming Liu, Rafael A. Calvo, Anindito Aditomo, and Luiz Augusto Pizzato IEEE Transactions on Learning Technologies, vol. 5, no. 3, pp. 251-263, Third Quarter 2012, doi:10.1109/TLT.2012.5 (IEEE) (Bib)
Explicit and implicit user preferences in online dating. Joshua Akehurst, Irena Koprinska, Kalina Yacef, Luiz Pizzato, Judy Kay, and Tomasz Rej New Frontiers in Applied Data Mining, volume 7104 of Lecture Notes in Computer Science, pages 15–27. Springer Berlin / Heidelberg, 2012. ISBN 978-3-642-28319-2. doi:10.1007/978-3-642-28320-8_2. (Springer)
Stochastic Matching and Collaborative Filtering to Recommend People to People Luiz Augusto Pizzato, and Cameron Silvestrini RecSys ‘11: Proceedings of the Fifth ACM Conference on Recommender Systems. Chicago, 23-27 October 2011 (PDF) (ACM)
CCR - A Content-Collaborative Reciprocal Recommender for Online Dating Joshua Akehurst, Irena Koprinska, Kalina Yacef, Luiz Pizzato, Judy Kay, and Tomasz Rej Proceedings of the 22nd International International Joint Conference on Artificial Intelligence (IJCAI 2011). Barcelona, Spain. 16-22 July 2011 (IJCAI)
Finding someone you will like and who won’t reject you. Luiz Pizzato, Tomasz Rej, Kalina Yacef, Irena Koprinska and Judy Kay Proceedings of the 19th International Conference on User Modeling, Adaptation and Personalization (UMAP 2011). Girona, Spain. 11-15 July 2011. LNCS 6787, pp. 269–280. Springer, Heidelberg (2012) (Springer)
Learning User Preferences in Online Dating. Luiz Pizzato, Thomas Chung, Tomasz Rej, Kalina Yacef, Irena Koprinska and Judy Kay Proceedings of the Workshop on Preference Learning (PL-10) at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD). Barcelona, Spain. 24 September 2010 (PL10)
RECON: A Reciprocal Recommender for Online Dating. Luiz Pizzato, Tomek Rej, Thomas Chung, Irena Koprinska and Judy Kay RecSys ‘10: Proceedings of the Fourth ACM Conference on Recommender Systems. Barcelona, 26-30 September 2010 (ACM) (PDF)
Reciprocal Recommender System for Online Dating Luiz Pizzato, Tomek Rej, Thomas Chung, Irena Koprinska and Judy Kay RecSys ‘10 (demonstration session): Proceedings of the Forth ACM Conference on Recommender Systems. Barcelona, 26-30 September 2010 (ACM)
Reciprocal Recommenders. Luiz Pizzato, Tomek Rej, Thomas Chung, Kalina Yacef, Irena Koprinska and Judy Kay Proceedings of the Workshop on Intelligent Techniques for Web Personalization & Recommender Systems (ITWP’10) at User Modeling, Adaptation and Personalization (UMAP 2010), Big Island of Hawaii. 2010. (ITWP)
Indexing on Semantic Roles for Question Answering. Luiz Pizzato and Diego Molla Proceedings of the Coling 2008 Workshop Information Retrieval for Question Answering (IR4QA-08). Manchester, August, 2008 (ACL) (Bib)
Question Prediction Language Model. Luiz Pizzato and Diego Molla Proceedings Australasian Language Technology Workshop 2007, Melbourne, December 2007. (ALTA)
AnswerFinder at TREC 2006. Menno van Zaanen, Diego Molla and Luiz Pizzato The Fifteenth Text REtrieval Conference (TREC 2006)
Pseudo Relevance Feedback Using Named Entities for Question Answering. Luiz Pizzato, Diego Molla and Cecile Paris In Proceedings of the Australasian Language Technology Workshop 2006. Sydney University, November 2006.
Extracting Exact Answers using a Meta Question Answering System. Luiz Pizzato and Diego Molla Proceedings of the Australasian Language Technology Workshop 2005. The University of Sydney, Australia, December 10-11, 2005
Classifying Sentences using Induced Structure. Menno van Zaanen, Luiz Pizzato and Diego Molla Proceedings of the Twelfth Symposium on String Processing and Information Retrieval (SPIRE-2005). Buenos Aires, Argentina, 2-4 November 2005. (Springer)
Question Classification by Structure Induction. Menno van Zaanen, Luiz Pizzato and Diego Molla Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence (IJCAI-2005). Edinburgh, Scotland, 30 July - 5 August 2005.
Using a Trie-based Structure for Question Analysis. Luiz Pizzato Proceedings of the Australasian Language Technology Workshop 2004. Macquarie University, Sydney, Australia, December 8, 2004. pp. 25-31. Published by ASSTA.
Intrinsic and Extrinsic Evaluation of a Thesaurus-Based Query Expansion Technique. Luiz Pizzato, Paulo Quaresma and Vera Lúcia Strube de Lima Presented at the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI’04). Beijing, China, September 21-24, 2004.
Evaluation of a Thesaurus-Based Query Expansion Technique. Luiz Pizzato and Vera Lúcia Strube de Lima Proceedings of the 6th Workshop on Computational Processing of the Portuguese Language - Written and Spoken. Lecture Notes in Computer Science. Universidade do Algarve-FCHS, Faro, Portugal. June 26-27, 2003. Springer-Verlag, 2003. (Springer)
Query Expansion Based on Thesaurus Relations: Evaluation over Internet. Luiz Pizzato and Vera Lúcia Strube de Lima Computational Linguistics and Intelligent Text Processing, Lecture Notes in Computer Science. Vol. 2588. ISBN 3-540-00532-3. Springer-Verlag, 2003. pp, 553-556. (Springer)
Desenvolvimento e Avaliação de uma Estrutura Multitesauro para a Recuperação de Informações. Luiz Pizzato and Vera Lúcia Strube de Lima Proceedings of the XXVIII Conferencia Latinoamericana de Informática (CLEI 2002). Montevideo, Uruguay. 25-29 November 2002
Desenvolvimento e Avaliação de uma Estrutura Multitesauro para Recuperação de Informações. Luiz Pizzato and Vera Lúcia Strube de Lima Proceedings of the I Workshop de Teses e Dissertações em Inteligência Artificial (WTDIA), XVI Brazilian Symposium on Artificial Intelligence (SBIA’02). Porto de Galinhas, PE, Brazil. 11-14 November 2002.
Estrutura Multitesauro para Recuperação de Informações. Luiz Pizzato and Vera Lúcia Strube de Lima Anais do XIII Simpósio Brasileiro em Informática na Educação (SBIE’02), Workshop de Ontologias (WONTO). São Leopoldo, RS, Brazil. 12-14 November 2002.
Theses
Using Linguistically Motivated Features in Document Retrieval for Question Answering Luiz Pizzato PhD Thesis. Macquarie University, Australia. 2008. Supervised Dr. Diego Molla. Submitted on: 12 December 2008
Estrutura Multitesauro para Recuperação de Informações. Luiz Pizzato Master Thesis. Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS). 2003. Supervised Profa. Vera Lúcia Strube de Lima Defended on: 8th January 2003 Examiners: Dr. Paulo Quaresma, University of Évora, Portugal; Dr. João Batista de Oliveira, PUCRS, Brazil; and Dr. Paulo Fernandes, PUCRS, Brazil.
Pre-prints
Detection of Abuse in Financial Transaction Descriptions Using Machine Learning. Anna Leontjeva and Genevieve Richards and Kaavya Sriskandaraja and Jessica Perchman and Luiz Pizzato arXiv e-prints. March 2023. arXiv
Reciprocal Recommender Systems: Analysis of State-of-Art Literature, Challenges and Opportunities towards Social Recommendation Ivan Palomares and Carlos Porcel and Luiz Pizzato and Ido Guy and Enrique Herrera-Viedma arXiv e-prints. Jul 2020. arXiv
Beyond Personalization: Research Directions in Multistakeholder Recommendation. Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, and Luiz Pizzato. arXiv e-prints. May 2019. arXiv