Alexandrin Popescul

According to our database, Alexandrin Popescul authored at least 13 papers between 2000 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Adversarial Bandits Policy for Crawling Commercial Web Content.

Shuguang Han, Michael Bendersky, Przemek Gajda, Sergey Novikov, Marc Najork, Bernhard Brodowsky, Alexandrin Popescul

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

Predictive Crawling for Commercial Web Content.

Shuguang Han, Bernhard Brodowsky, Przemek Gajda, Sergey Novikov, Mike Bendersky, Marc Najork, Robin Dua, Alexandrin Popescul

Proceedings of the World Wide Web Conference, 2019

2017

Quick Access: Building a Smart Experience for Google Drive.

Sandeep Tata, Alexandrin Popescul, Marc Najork, Mike Colagrosso, Julian Gibbons, Alan Green, Alexandre Mah, Michael Smith, Divanshu Garg, Cayden Meyer, Reuben Kan

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2014

Learning Alternative Name Spellings.

Jeffrey Sukharev, Leonid Zhukov, Alexandrin Popescul

CoRR, 2014

Parallel Corpus Approach for Name Matching in Record Linkage.

Jeffrey Sukharev, Leonid Zhukov, Alexandrin Popescul

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2006

Linear prediction models with graph regularization for web-page categorization.

Tong Zhang, Alexandrin Popescul, Byron Dom

Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

2005

CROC: A New Evaluation Criterion for Recommender Systems.

Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock

Electron. Commer. Res., 2005

2004

Cluster-based concept invention for statistical relational learning.

Alexandrin Popescul, Lyle H. Ungar

Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

2003

Mixtures of Conditional Maximum Entropy Models.

Dmitry Pavlov, Alexandrin Popescul, David M. Pennock, Lyle H. Ungar

Proceedings of the Machine Learning, 2003

Statistical Relational Learning for Document Mining.

Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock

Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002

Methods and metrics for cold-start recommendations.

Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock

Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002

2001

Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments.

Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, Steve Lawrence

Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001

2000

Clustering and Identifying Temporal Trends in Document Databases.

Alexandrin Popescul, Gary William Flake, Steve Lawrence, Lyle H. Ungar, C. Lee Giles

Proceedings of IEEE Advances in Digital Libraries 2000 (ADL 2000), 2000