Muntean Cristina Ioana

My main research interests are in Information Retrieval and Machine Learning with applications to web search and social media. I am particularly interested in neural and classic IR models and their application to conversational IR.

I will be attending the following events:

• 25-30 July 2020: SIGIR'20 in Xi'an, China

Past events:

• 20-25 July 2019: SIGIR'19 in Paris, France
• 18 September 2019: womENcourage 2019, Data Science for Society, in Rome, Italy
• 13-15 November 2019: CLiC-it 2019 in Bari, Italy
• 20 November 2019: From SoBigData to SoBigData++: toward an advanced community of data scientists
• 19 December 2019: Radio Aula 40, La “Dieta Digitale”: il cibo sul web e sui social

My papers are at the crossroad of IR, ML and Social Media.

• Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder. 2020. Topic Propagation in Conversational Search. Accepted at SIGIR'20, 25-30 July 2020, Xi'an, China.
• Rafael Prieto Curiel, Stefano Cresci, Cristina Ioana Muntean, Steven Richard Bishop. 2020. Crime and its fear in social media. Palgrave Communications, 6(1), pp.1-12.
• Alina Sîrbu, Gennady Andrienko, Natalia Andrienko, Chiara Boldrini, Marco Conti, Fosca Giannotti, Riccardo Guidotti, Simone Bertoli, Jisu Kim, Cristina Ioana Muntean, Luca Pappalardo, Andrea Passarella, Dino Pedreschi, Laura Pollacci, Francesca Pratesi, Rajesh Sharma. 2020. Human migration: the big data perspective. International Journal of Data Science and Analytics.
• Gennady Andrienko, Natalia Andrienko, Chiara Boldrini, Guido Caldarelli, Paolo Cintia, Stefano Cresci, Angelo Facchini, Fosca Giannotti, Aristides Gionis, Riccardo Guidotti, Michael Mathioudakis, Cristina Ioana Muntean, Luca Pappalardo, Dino Pedreschi, Evangelos Pournaras, Francesca Pratesi, Maurizio Tesconi, Roberto Trasarti. 2020. (So) Big Data and the transformation of the city. International Journal of Data Science and Analytics.
• Matteo Catena, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, and Nicola Tonellotto. 2019. Enhanced News Retrieval:Passages Lead the Way!. In Proceedings of SIGIR'19, July 21–25, 2019, Paris, France.
• Giuseppe Amato, Paolo Bolettieri, Vinicius Monteiro de Lira, Cristina Ioana Muntean, Raffaele Perego, Chiara Renso. 2017. Social Media Image Recognition for Food Trend Analysis. In Proceedings of SIGIR'17, demo paper.
• Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani. 2017. RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions. In Proceedings of SIGIR'17, demo paper.
• Mauro Coletto, Andrea Esuli, Claudio Lucchese, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Chiara Renso. 2017. Perception of social phenomena through the multidimensional analysis of online social networks. In Online Social Networks and Media Journal 2017, pp 14-32.
• Cristina Ioana Muntean, Franco Maria Nardini, Fabrizio Silvestri, Ranieri Baraglia. 2015. On Learning Prediction Models for Tourists Paths in ACM TIST.
• Ranieri Baraglia, Cristina Ioana Muntean, Franco Maria Nardini, Fabrizio Silvestri. 2013. LearNext: Learning to Predict Tourists Movements. In Proceedings of CIKM'13.

I developed knowledge and skills for developing prototypes and applications.

• Python: numpy, sklearn, pytorch
• ElasticSearch, Terrier
• Learning to Rank
• Mobility analysis
• Information Retrieval
• Machine learning
• Git, SVN, Latex

Datasets

• LearNext

I am currently working in two European projects in which I also have responsibility roles.

MASTER

MASTER (Multiple ASpects TrajEctoRy management and analysis) is a project funded under the call H2020-MSCA-RISE-2017 with the objective of forming an international and inter-sectoral network of organizations working on a joint research program to define new methods to build, manage and analyze multiple aspects semantic trajectories..

SoBigData

SoBigData++ is the European Research Infrastructure for Big Data and Social Mining. From data to knowledge, investigating stories ethically, paying attention to citizens privacy. SoBigData++ promotes repeatable and open science. SoBigData++ is primarily aimed at serving the needs of researchers with openly available datasets and open source methods and services provided by the new research infrastructure.

• 2009-2012: PhD Student in Cybernetics and Statistics, Babes-Bolyai University, Cluj-Napoca, Romania, Thesis: "On Effective Methods for Social Media Content Analysis and Recommendation", PhD Supervisor: Prof. Dr. Tomai Nicolae
• 2008-2009: Master in Business Information Systems, Faculty of Economics and Business Administration, Babes-Bolyai University, Cluj-Napoca
• 2004-2008: Bachelor in Business Information Systems, Faculty of Economics and Business Administration, Babes-Bolyai University, Cluj-Napoca