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Liste des publications
2019
-
[VF19]
T. Viard, R. Fournier-S'niehotta.
"Augmenting content-based rating prediction with link stream features",
Computer Networks,
vol. 150, pp. 127-133,
2019, (doi:https://doi.org/10.1016/j.comnet.2018.12.002)
Revue Internationale avec comité de lecture
2018
-
[PCM18]
M. Pozo, R. Chiky, F. Meziane, E. Metais.
"Exploiting past users' interests and predictions in an active learning method for dealing with cold start in recommender systems",
Informatics,
vol. 5(3), pp. 19 pages,
2018, (doi:https://doi.org/10.3390/informatics5030035)
- [CBM18] G. Chaaya, J. Bou Abdo, E. Metais, R. Chiky, J. Demerjian, K. Barbar. "Comparison of the Non-Personalized Active Learning Strategies Used in Recommender Systems", EMCIS 2018, October 2018, pp.14 pages, Limassol, Cyprus,
- [CMB18] G. Chaaya, E. Metais, J. Bou Abdo, R. Chiky, J. Demerjian, K. Barbar. "An Improved Non-Personalized Combined-Heuristic Strategy for Collaborative Filtering Recommender Systems", IEEE MENACOMM'18, April 2018, pp.6, Jounieh, Lebanon,
- [GCd18] Q. Grossetti, C. Constantin, C. du Mouza, N. Travers. "An Homophily-based Approach for Fast Post Recommendation in Microblogging Systems", EDBT, March 2018, pp.1--12, Vienna, Austria,
- [GCd18a] Q. Grossetti, C. Constantin, C. du Mouza, N. Travers. "Reducing Filter Bubbles With a Community Aware Model", BDA, October 2018, Vol. 34, pp.1-10, Bucarest, Roumania,
Revue Internationale avec comité de lecture
Conférence Internationale avec comité de lecture
Conférence Nationale avec comité de lecture
2017
- [CCM17] G. Chaaya, R. Chiky, E. Metais, J. Demerjian. "Evaluating Non-Personalized Single-Heuristic Active Learning Strategies for Collaborative Filtering Recommender Systems", 16th IEEE International Conference on Machine Learning and Applications (ICMLA 2017), December 2017, pp.8, Cancun, Mexique,
Conférence Internationale avec comité de lecture
2016
- [PCM16a] M. Pozo, R. Chiky, F. Meziane, E. Metais. "An Item/User Representation for Recommender Systems based on Bloom Filters", IEEE Tenth International RCIS 2016 (Conference on Research Challenges in Information Science), June 2016, pp.12, Grenoble, France,
Conférence Internationale avec comité de lecture
2013
-
[SS13]
J. Séguéla, G. Saporta.
"A hybrid recommender system to predict online job offer performance",
Revue des Nouvelles Technologies de l'Information,
vol. RNTI -E-25, pp. 177-197,
2013
Revue Nationale avec comité de lecture
2011
-
[SS11]
J. Séguéla, G. Saporta.
"A Semi-Supervised Hybrid System to Enhance the Recommendation of Channels in terms of Campaign ROI",
CIKM'11, 20th ACM Conference on Information and Knowledge Management,
October 2011,
pp.2265-2268,
Glasgow,
GB,
-
[SS11b]
G. Saporta, J. Séguéla.
"A semi-supervised recommender system to predict online job o ffer performance",
Theory and Application of High-dimensional Complex and Symbolic Data Analysis in Economics and Management Science,
Beijing,
Chine,
