Alexandrin Popescul

Publication Activity (10 Years)

Years Active: 2000-2020
Publications (10 Years): 3

Top Topics

Parallel Corpus

Top Venues

Publications

Shuguang Han, Michael Bendersky, Przemek Gajda, Sergey Novikov, Marc Najork, Bernhard Brodowsky, Alexandrin Popescul
Adversarial Bandits Policy for Crawling Commercial Web Content. WWW (2020)
Shuguang Han, Bernhard Brodowsky, Przemek Gajda, Sergey Novikov, Mike Bendersky, Marc Najork, Robin Dua, Alexandrin Popescul
Predictive Crawling for Commercial Web Content. WWW (2019)
Sandeep Tata, Alexandrin Popescul, Marc Najork, Mike Colagrosso, Julian Gibbons, Alan Green, Alexandre Mah, Michael Smith, Divanshu Garg, Cayden Meyer, Reuben Kan
Quick Access: Building a Smart Experience for Google Drive. KDD (2017)
Jeffrey Sukharev, Leonid Zhukov, Alexandrin Popescul
Parallel Corpus Approach for Name Matching in Record Linkage. ICDM (2014)
Jeffrey Sukharev, Leonid Zhukov, Alexandrin Popescul
Learning Alternative Name Spellings. CoRR (2014)
Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, Steve Lawrence
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments CoRR (2013)
Tong Zhang, Alexandrin Popescul, Byron Dom
Linear prediction models with graph regularization for web-page categorization. KDD (2006)
Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock
CROC: A New Evaluation Criterion for Recommender Systems. Electron. Commer. Res. 5 (1) (2005)
Alexandrin Popescul, Lyle H. Ungar
Cluster-based concept invention for statistical relational learning. KDD (2004)
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock
Statistical Relational Learning for Document Mining. ICDM (2003)
Dmitry Pavlov, Alexandrin Popescul, David M. Pennock, Lyle H. Ungar
Mixtures of Conditional Maximum Entropy Models. ICML (2003)
Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock
Methods and metrics for cold-start recommendations. SIGIR (2002)
Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, Steve Lawrence
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments. UAI (2001)
Alexandrin Popescul, Gary William Flake, Steve Lawrence, Lyle H. Ungar, C. Lee Giles
Clustering and Identifying Temporal Trends in Document Databases. ADL (2000)