| New Measures for Offline Evaluation of Learning Path Recommenders. | 0 | 0.34 | 2020 |
| Learning Analytics Made in France: The METALproject. | 0 | 0.34 | 2019 |
| C3Ro: An efficient mining algorithm of extended-closed contiguous robust sequential patterns in noisy data | 0 | 0.34 | 2019 |
| DEER: Distant and Essential Episode Rules for early prediction. | 1 | 0.35 | 2018 |
| CCPM: A Scalable and Noise-Resistant Closed Contiguous Sequential Patterns Mining Algorithm. | 0 | 0.34 | 2017 |
| Identifying representative users in matrix factorization-based recommender systems: application to solving the content-less new item cold-start problem. | 3 | 0.38 | 2017 |
| Sets of Contrasting Rules: A Supervised Descriptive Rule Induction Pattern for Identification of Trigger Factors | 0 | 0.34 | 2016 |
| Identifying Grey Sheep Users in Collaborative Filtering: A Distribution-Based Technique. | 2 | 0.39 | 2016 |
| Identifying Users with Atypical Preferences to Anticipate Inaccurate Recommendations. | 1 | 0.36 | 2015 |
| When Users with Preferences Different from Others Get Inaccurate Recommendations. | 0 | 0.34 | 2015 |
| Influencer Events in Episode Rules: A Way to Impact the Occurrence of Events | 2 | 0.38 | 2015 |
| Identification des utilisateurs atypiques dans les systèmes de recommandation sociale. | 0 | 0.34 | 2015 |
| Predict the Emergence: Application to Competencies in Job Offers | 2 | 0.39 | 2015 |
| Episode Rules Mining Algorithm for Distant Event Prediction | 3 | 0.37 | 2014 |
| Efficient Discovery of Episode Rules with a Minimal Antecedent and a Distant Consequent. | 3 | 0.38 | 2014 |
| Extraction de règles d'épisodes minimales dans des séquences complexes. | 0 | 0.34 | 2014 |
| Unsupervised Machine Learning Based on Recommendation of Pedagogical Resources | 1 | 0.34 | 2014 |
| Utilité et perception de la diversité dans les systèmes de recommandation. | 0 | 0.34 | 2013 |
| Détection de communautés d'intérêt et recommandation sociale par leaders. | 0 | 0.34 | 2012 |
| From neighbors to global neighbors in collaborative filtering: an evolutionary optimization approach | 4 | 0.44 | 2012 |
| Exploitation du skipping pour la modélisation prédictive des usages du web. Vers une meilleure prise en compte du bruit. | 0 | 0.34 | 2012 |
| Stochastic search for global neighbors selection in collaborative filtering | 5 | 0.42 | 2012 |
| Utilisation d'invariants pour une médiation inter-domaines de modèles utilisateurs : ressources invariantes et invariants sémantiques. | 0 | 0.34 | 2012 |
| Handling Tabbing and Backward References for Predictive Web Usage Mining. | 0 | 0.34 | 2011 |
| Densifying a behavioral recommender system by social networks link prediction methods | 19 | 0.84 | 2011 |
| From Community Detection To Mentor Selection In Rating-Free Collaborative Filtering | 0 | 0.34 | 2011 |
| Collaborative Learning in Heterogeneous Classes - Towards a Group Formation Methodology. | 5 | 0.52 | 2011 |
| Inspiration des sondages d'opinion pour réduire la latence en filtrage collaboratif | 0 | 0.34 | 2011 |
| Improving reliability of user preferences: Comparing instead of rating. | 1 | 0.36 | 2011 |
| Comparisons Instead of Ratings: Towards More Stable Preferences | 19 | 0.99 | 2011 |
| Initial Perspectives from Preferences Expressed through Comparisons. | 3 | 0.50 | 2011 |
| An Exploratory Work in Using Comparisons Instead of Ratings. | 2 | 0.47 | 2011 |
| Du e-commerce au m-commerce : vers une recommandation incrémentale | 0 | 0.34 | 2010 |
| Linking Collaborative Filtering and Social Networks: Who Are My Mentors? | 3 | 0.42 | 2010 |
| Detecting Leaders in Behavioral Networks | 5 | 0.48 | 2010 |
| Detecting Leaders to Alleviate Latency in Recommender Systems | 0 | 0.34 | 2010 |
| Detecting Parallel Browsing to Improve Web Predictive Modeling. | 0 | 0.34 | 2010 |
| Compass to locate the user model i need: building the bridge between researchers and practitioners in user modeling | 1 | 0.35 | 2010 |
| History Dependent Recommender Systems Based on Partial Matching | 3 | 0.40 | 2009 |
| From Social Networks to Behavioral Networks in Recommender Systems | 11 | 0.59 | 2009 |
| A low-order markov model integrating long-distance histories for collaborative recommender systems | 4 | 0.48 | 2009 |
| Towards Privacy Compliant and Anytime Recommender Systems | 3 | 0.41 | 2009 |
| Behavioral similarities for collaborative recommendations | 5 | 0.42 | 2008 |
| Probabilistic Association Rules for Item-Based Recommender Systems | 1 | 0.36 | 2008 |
| Using Skipping for Sequence-Based Collaborative Filtering | 2 | 0.40 | 2008 |
| Probabilistic Reinforcement Rules for Item-Based Recommender Systems | 0 | 0.34 | 2008 |
| Towards a statistical grammar of usage for document retrieval in digital libraries. | 0 | 0.34 | 2007 |
| Natural language processing for usage based indexing of web resources | 2 | 0.36 | 2007 |
| Contribution to topic identification by using word similarity | 3 | 0.45 | 2002 |
| A Comparative Study Of Topic Identification On Newspaper And E-Mail | 8 | 0.61 | 2001 |
