| 2018 | EMNLP | Learning Better Internal Structure of Words for Sequence Labeling. | Yingwei Xin, Ethan Hart, Vibhuti Mahajan, Jean-David Ruvini |
| 2018 | NAACL | Neural Network based Extreme Classification and Similarity Models for Product Matching. | Kashif Shah, Seluk Kpr, Jean-David Ruvini |
| 2015 | NAACL | Distributed Word Representations Improve NER for e-Commerce. | Mahesh Joshi, Ethan Hart, Mirko Vogel, Jean-David Ruvini |
| 2013 | SDM | Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning. | Ayan Acharya, Joydeep Ghosh, Eduardo R. Hruschka, Jean-David Ruvini, Badrul Sarwar |
| 2012 | ACL | Structuring E-Commerce Inventory. | Karin Mauge, Khash Rohanimanesh, Jean-David Ruvini |
| 2012 | CIKM | Large-scale item categorization for e-commerce. | Dan Shen, Jean-David Ruvini, Badrul Sarwar |
| 2011 | CIKM | Item categorization in the e-commerce domain. | Dan Shen, Jean-David Ruvini, Manas Somaiya, Neel Sundaresan |
| 2010 | ICMLA | A Study of Smoothing Algorithms for Item Categorization on e-Commerce Sites. | Dan Shen, Jean-David Ruvini, Rajyashree Mukherjee, Neel Sundaresan |
| 2003 | IUI | Adapting to the user's internet search strategy on small devices. | Jean-David Ruvini |
| 2002 | IUI | Do users tolerate errors from their assistant?: experiments with an E-mail classifier. | Jean-David Ruvini, Jean-Marc Gabriel |
| 2000 | IUI | APE: learning user's habits to automate repetitive tasks. | Jean-David Ruvini, Christophe Dony |
| 1998 | ICTAI | IBHYS: a new approach to learn users habits. | Jean-David Ruvini, Christophe Fagot |