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  Large-scale Matrix Factorization with Distributed Stochastic Gradient Descent

Gemulla, R., Nijkamp, E., Haas, P. J., & Sismanis, Y. (2011). Large-scale Matrix Factorization with Distributed Stochastic Gradient Descent. In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'11) (pp. 69-77). New York, NY: ACM. doi:10.1145/2020408.2020426.

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 Creators:
Gemulla, Rainer1, Author           
Nijkamp, Erik2, Author
Haas, Peter J.2, Author
Sismanis, Yannis2, Author
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20112011
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 618999
DOI: 10.1145/2020408.2020426
URI: http://doi.acm.org/10.1145/2020408.2020426
Other: Local-ID: C1256DBF005F876D-A8ED69DA9970EC11C125797F004442C8-Gemulla2011c
 Degree: -

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Title: 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Place of Event: San Diego, CA, USA
Start-/End Date: 2011-08-21 - 2011-08-24

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Title: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'11)
  Abbreviation : KDD 2011
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: New York, NY : ACM
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 69 - 77 Identifier: ISBN: 978-1-4503-0813-7