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Alexandrin Popescul
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2020 – today
- 2020
- [c11]Shuguang Han, Michael Bendersky, Przemek Gajda, Sergey Novikov, Marc Najork
, Bernhard Brodowsky, Alexandrin Popescul:
Adversarial Bandits Policy for Crawling Commercial Web Content. WWW 2020: 407-417
2010 – 2019
- 2019
- [c10]Shuguang Han, Bernhard Brodowsky, Przemek Gajda, Sergey Novikov, Mike Bendersky, Marc Najork
Predictive Crawling for Commercial Web Content. WWW 2019: 627-637 - 2017
- [c9]Sandeep Tata, Alexandrin Popescul, Marc Najork
Quick Access: Building a Smart Experience for Google Drive. KDD 2017: 1643-1651 - 2014
- [c8]Jeffrey Sukharev, Leonid Zhukov, Alexandrin Popescul:
Parallel Corpus Approach for Name Matching in Record Linkage. ICDM 2014: 995-1000 - [i2]Jeffrey Sukharev, Leonid Zhukov, Alexandrin Popescul:
Learning Alternative Name Spellings. CoRR abs/1405.2048 (2014) - 2013
- [i1]Alexandrin Popescul, Lyle H. Ungar, David M. Pennock, Steve Lawrence:
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments. CoRR abs/1301.2303 (2013)
2000 – 2009
- 2006
- [c7]Tong Zhang, Alexandrin Popescul, Byron Dom:
Linear prediction models with graph regularization for web-page categorization. KDD 2006: 821-826 - 2005
- [j1]Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock:
CROC: A New Evaluation Criterion for Recommender Systems. Electron. Commer. Res. 5(1): 51-74 (2005) - 2004
- [c6]Alexandrin Popescul, Lyle H. Ungar:
Cluster-based concept invention for statistical relational learning. KDD 2004: 665-670 - 2003
- [c5]Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock:
Statistical Relational Learning for Document Mining. ICDM 2003: 275-282 - [c4]Dmitry Pavlov, Alexandrin Popescul, David M. Pennock, Lyle H. Ungar:
Mixtures of Conditional Maximum Entropy Models. ICML 2003: 584-591 - 2002
- [c3]Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock:
Methods and metrics for cold-start recommendations. SIGIR 2002: 253-260 - 2001
- [c2]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: 437-444 - 2000
- [c1]Alexandrin Popescul, Gary William Flake, Steve Lawrence, Lyle H. Ungar, C. Lee Giles
Clustering and Identifying Temporal Trends in Document Databases. ADL 2000: 173-182
Coauthor Index
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