Lars Backstrom
Dept. of Computer Science
Cornell University
I am currently a 4th year graduate student in Cornell's
Computer Sciencce Department. My advisor is Jon Kleinberg. I
am planning on graduating in the Spring of 2009.
My primary research interests are in data mining and machine learning
using large-scale datasets, with an emphasis on Web information,
social computing applications, and on-line social networks.
These datasets are becoming more and more numerous, and as the Web's
reach continues to grow, it is important to understand these datasets for two
reasons. First, better understanding of the dynamics of the systems
generating the data allows us to improve the systems. For instance, if we
better understand how a social network grows, a social network provider can
better serve its customers when they try to expand their friends lists.
Second, an in-depth understanding of the data allows us to leverage it for a
variety of purposes. For instance, by looking at where search queries come
we can discover the reach of various topics, ideas, and opinions; and by
understanding how new ideas spread on a social network, we can improve
marketing efficiency. I am particularly interested in developing new methods
and algorithms to deal with these large datasets, answering the subtle and
nuanced questions that require a huge amount of data and novel methodology to
deal with.
Application Materials
CV
Research Statement
Teaching Statement
Publications
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L. Backstrom, J. Kleinberg, R. Kumar
Optimizing Web Traffic via the Media Scheduling Problem.
Proc. 15th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2009.
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J. Leskovec, L. Backstrom and J. Kleinberg.
The Dynamics of the News Cycle.
Proc. 15th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2009.
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D. Crandall, L. Backstrom, D. Huttenlocher, J. Kleinberg.
Mapping the Worlds Photos.
Proc. 18th Intl. World Wide Web Conference, 2009.
- J. Leskovec, L. Backstrom, R. Kumar, A. Tomkins.
Microscopic Evolution of Social Networks.
Proc. 14th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2008.
- L. Backstrom, J. Kleinberg, R. Kumar, J. Novak.
Spatial Variation in Search Engine Queries.
Proc. 17th International World Wide Web Conference, 2008.
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L. Backstrom, R. Kumar, C. Marlow, J. Novak, A. Tomkins
Preferential behavior in online groups.
Proc. 1st ACM WSDM Intl. Conf. on Web Search and Data Mining,
2008.
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L. Backstrom, C. Dwork, J. Kleinberg.
Wherefore Art Thou R3579X? Anonymized Social Networks, Hidden Patterns, and Structural Steganography.
Proc. 16th Intl. World Wide Web Conference, 2007.
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L. Backstrom, D. Huttenlocher, J. Kleinberg, X. Lan.
Group Formation in Large Social Networks: Membership, Growth, and Evolution.
Proc. 12th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2006.
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L. Backstrom and R. Caruana
C2FS: An Algorithm for Feature Selection in Cascade Neural Nets
IJCNN 2006
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R. Caruana, T. Joachims, L. Backstrom:
KDD-Cup 2004: results and analysis
Proc. 10th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 2004.
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