Since April 2015,
I am Research Scientist in Yahoo! Research, conducting research for Yahoo Gemini advertising platform
in Sunnyvale California.
My current research falls in the domain of recommender systems, representation learning, and topic modelling.
From 2012 to 2015 I was with Yahoo! Labs Barcelona.
Before joining Yahoo, I was Research Scientist at Xerox Research, in Grenoble, France from 2010 to 2012. There I have been working on multi-modal and active learning, and contributing to the patent portfolio of the company.
Before, I completed my Ph.D. in computer science at University of Brussels, on the subject of machine learning and kernel methods applied to graphs: Novel Measures On Directed Graphs and Applications to Large-Scale Within-Network Classification. I was working under the supervision of Professor Marco Saerens from Univerisity of Louvain and Professor Hugues Bersini from University of Brussels with who I have been teaching Object Oriented Programming and Design Patterns.
I received undergraduate degree and master degree in Computer Science from University of Brussels in 2003. I received a Master degree in Bioinformatics also from University of Brussels, in 2006.
Xiao Bai, Berkant Barla Cambazoglu, Francesco Gullo, Amin Mantrach, Fabrizio Silvestri.Exploiting search history of users for news personalization. In Information Sciences, Volume 385, 2017
Luca Maria Aiello, Ioannis Arapakis, Ricardo A. Baeza-Yates, Xiao Bai, Nicola Barbieri, Amin Mantrach, Fabrizio Silvestri.The Role of Relevance in Sponsored Search. In Proceedings of CIKM 2016
Gaurav Singh, Amin Mantrach, Fabrizio Silvestri.Improving Profiles of Weakly-Engaged Users - With Applications to Recommender Systems. In Proceedings of CLEF 2016
Joon Hee Kim, Amin Mantrach, Alejandro Jaimes, Alice H. Oh. How to Compete Online for News Audience: Modeling Words that Attract Clicks. In Proceedings of the 22st ACM SIGKDD Conference 2016,San Francisco, USA, August 2016.
Robin Devooght, Nicolas Kourtelis, Amin Mantrach. Dynamic Matrix Factorization with Priors on Unknown Values. In Proceedings of the 21st ACM SIGKDD Conference 2015,Sydney, Australia, August 2015.[PDF]
Janani Kalyanam, Amin Mantrach, Diego Saez-Trumper, Hossein Vahabi, Gert Lanckriet Leveraging Social Context for Modeling Topic Evolution. In Proceedings of the 21st ACM SIGKDD Conference 2015,Sydney, Australia, August 2015.[PDF]
Farshad Kooti, Luca Maria Aiello, Mihajlo Grbovic, Kristina Lerman, Amin Mantrach. Evolution of Conversations in the Age of Email Overload. In Proceedings of the 24th International World Wide Web Conference (WWW’15),Florence, Italy, May 2015.[PDF][MIT Technology Review] [ABC News][Popular Science]
Carlos A. Colmenares, Marina Litvak, Amin Mantrach, Fabrizio Silvestri. HEADS: Headline Generation as Sequence Prediction Using an Abstract Feature-Rich Space. In Proceedings of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2015),, May 31 to June 5 in Denver, Colorado, USA.[PDF]
Martin Saveski, Amin Mantrach. Item Cold Start Recommendations: Learning Local Collective Embeddings.
to appear in Proc. of the 8th ACM Conference Series on Recommender Systems (RECSYS 2014),p. 89-96, October 2014, Foster City, Silicon Valley, USA. [PDF]
Robin Devooght, Amin Mantrach, Ilkka Kivimäki, Hugues Bersini, Alejandro Jaimes and Marco Saerens. Random Walks based Modularity: Application to Semi-Supervised Learning. In Proc. of 23rd International World Wide Web Conference (WWW 2014),p. 213-224, April 2014, Seoul, Korea. [PDF]
Carmen Vaca, Amin Mantrach, Alejandro Jaimes and Marco Saerens. A Time-based Collective Factorization for Topic Discovery and Monitoring in News.
To appear in Proc. of 23rd International World Wide Web Conference (WWW 2014),p. 527-538, April 2014, Seoul, Korea. [PDF]
Mathieu Senelle, Silvia García-Díez, Amin Mantrach, Masashi Shimbo, Marco Saerens and François Fouss. the Sum-over-Forests density index: identifying dense regions in a graph. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 36(6):1268-1274, 2014. [PDF]
Amin Mantrach, Bogdan Cautis and Alejandro Jaimes. Social-Web Archive Contextualization: Cultural Dynamics, Responses to News and Context-aware Social Search. in the Proceedings of 10th Internation Conference on Preservation of Digital Objects (iPRES), Lisbon, September, 2013. [PDF]
Amin Mantrach and Jean-Michel Renders. Extension of the Rocchio Classification Method to Multi-modal Categorization of Documents in Social Media. in Proc. of the 23th European Conference on Machine Learning (ECML) Bristol, September 2012. [PDF]
Amin Mantrach and Jean-Michel Renders. A General Framework for People Retrieval in Social Media with Multiple Roles. in Proc. of the European Conference on Information Retrieval (ECIR) Barcelona, 2012. [PDF]
Amin Mantrach and Jean-Michel Renders. A Mailbox Search Engine Using Query Multi-modal Expansion and Community-Based Smoothing. in Proc. of the European Conference on Information Retrieval (ECIR) Barcelona, 2012. [PDF]
Amin Mantrach, Nicolas van Zeebroeck, Pascal Francq, Masashi Shimbo, Hugues Bersini and Marco Saerens. Semi-supervised classification and betweenness computation on large, sparse, directed graphs. in Pattern Recognition 44(6): 1212-1224 (2011). [PDF]
Amin Mantrach and Jean-Michel Renders. People Retrieval Leveraging Textual and Social Data. in Proceedings of the 3th International Conference on Knowledge Discovery and Information Retrieval (KDIR) Paris, 2011. [PDF]
Amin Mantrach, Luh Yen, Jérôme Callut, Kevin Françoisse, Masashi Shimbo and Marco Saerens. The Sum-over-Paths Covariance Kernel: A Novel Covariance Measure between Nodes of a Directed Graph. in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2010. [PDF]
Luh Yen, Marco Saerens, Amin Mantrach and Masashi Shimbo. A family of dissimilarity measures between nodes generalizing both the shortest-path and the commute-time distances. in the Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2008. [PDF]
Amin Mantrach and Alejandro Jaimes. Systems and Methods for Suggesting Headlines in US Patent Office, Application Number: 14/455,045 , 2014.
Xia Bai, Barla Cambazoglu, Francesco Gullo, Amin Mantrach and Fabrizio Silvestri. Using Exogenous Sources for Personalization of Website Services in US Patent Office, Application Number: 14/504,386, 2014.
Xerox Corporation Ltd.
Jean-michel Renders and Amin Mantrach. Relevant persons identification leveraging both textual data and social context in US Patent Office, Patent Number: 20130103681, Application Number: 13/422189, 2013.
Jean-michel Renders and Amin Mantrach. Mailbox Search Engine using Query Multi-Modal Expansion and Community-based Smoothing in US Patent Office, Attorney File: 20120161-US-NP, 2013.
Kevin Françoisse, Ilkka Kivimäki, Amin Mantrach, Fabrice Rossi and Marco Saerens. A bag-of-paths framework for network data analysis. in arXiv, preprint arXiv:1302.6766, February, 2013. [PDF]