Algorithmic acceleration of parallel ALS for collaborative filtering: speeding up distributed big data recommendation in spark

Manda Winlaw; Michael Berkeley Hynes; Anthony Caterini; Hans De Sterck

doi:10.1109/ICPADS.2015.91

Algorithmic acceleration of parallel ALS for collaborative filtering: speeding up distributed big data recommendation in spark

Manda Winlaw, Michael Berkeley Hynes, Anthony Caterini, Hans De Sterck

School of Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

13 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS 2015)
Subtitle of host publication	14-17 December 2015, Melbourne, Victoria, Australia
Editors	Tao Gu, Vikto K. Prasanna
Place of Publication	Piscataway, NJ
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	682-691
Number of pages	10
ISBN (Print)	9780769557854
DOIs	https://doi.org/10.1109/ICPADS.2015.91
Publication status	Published - 2015
Event	International Conference on Parallel and Distributed Systems 2015 - Melbourne, Australia Duration: 14 Dec 2015 → 17 Dec 2015 Conference number: 21st http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7381113 (IEEE Conference Proceedings)

Conference

Conference	International Conference on Parallel and Distributed Systems 2015
Abbreviated title	ICPADS 2015
Country	Australia
City	Melbourne
Period	14/12/15 → 17/12/15
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7381113 (IEEE Conference Proceedings)

Keywords

Recommendation systems
collaborative filtering
parallel optimization algorithms
matrix factorization
Apache Spark
Big Data
scalable methods

Cite this

Winlaw, M., Hynes, M. B., Caterini, A., & De Sterck, H. (2015). Algorithmic acceleration of parallel ALS for collaborative filtering: speeding up distributed big data recommendation in spark. In T. Gu, & V. K. Prasanna (Eds.), Proceedings of 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS 2015): 14-17 December 2015, Melbourne, Victoria, Australia (pp. 682-691). Piscataway, NJ: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICPADS.2015.91

Winlaw, Manda ; Hynes, Michael Berkeley ; Caterini, Anthony ; De Sterck, Hans. / Algorithmic acceleration of parallel ALS for collaborative filtering: speeding up distributed big data recommendation in spark. Proceedings of 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS 2015): 14-17 December 2015, Melbourne, Victoria, Australia. editor / Tao Gu ; Vikto K. Prasanna. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, 2015. pp. 682-691

@inproceedings{ca46f76fc77e414d97e46bc8c63720a4,

title = "Algorithmic acceleration of parallel ALS for collaborative filtering: speeding up distributed big data recommendation in spark",

keywords = "Recommendation systems, collaborative filtering, parallel optimization algorithms, matrix factorization, Apache Spark, Big Data, scalable methods",

author = "Manda Winlaw and Hynes, {Michael Berkeley} and Anthony Caterini and {De Sterck}, Hans",

year = "2015",

doi = "10.1109/ICPADS.2015.91",

language = "English",

isbn = "9780769557854",

pages = "682--691",

editor = "Tao Gu and Prasanna, {Vikto K.}",

booktitle = "Proceedings of 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS 2015)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

}

Winlaw, M, Hynes, MB, Caterini, A & De Sterck, H 2015, Algorithmic acceleration of parallel ALS for collaborative filtering: speeding up distributed big data recommendation in spark. in T Gu & VK Prasanna (eds), Proceedings of 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS 2015): 14-17 December 2015, Melbourne, Victoria, Australia. IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, pp. 682-691, International Conference on Parallel and Distributed Systems 2015, Melbourne, Australia, 14/12/15. https://doi.org/10.1109/ICPADS.2015.91

Algorithmic acceleration of parallel ALS for collaborative filtering: speeding up distributed big data recommendation in spark. / Winlaw, Manda; Hynes, Michael Berkeley; Caterini, Anthony; De Sterck, Hans.

Proceedings of 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS 2015): 14-17 December 2015, Melbourne, Victoria, Australia. ed. / Tao Gu; Vikto K. Prasanna. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 682-691.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Algorithmic acceleration of parallel ALS for collaborative filtering: speeding up distributed big data recommendation in spark

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AU - Hynes, Michael Berkeley

AU - Caterini, Anthony

AU - De Sterck, Hans

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KW - Recommendation systems

KW - collaborative filtering

KW - parallel optimization algorithms

KW - matrix factorization

KW - Apache Spark

KW - Big Data

KW - scalable methods

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DO - 10.1109/ICPADS.2015.91

M3 - Conference Paper

SN - 9780769557854

SP - 682

EP - 691

BT - Proceedings of 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS 2015)

A2 - Gu, Tao

A2 - Prasanna, Vikto K.

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway, NJ

ER -

Winlaw M, Hynes MB, Caterini A, De Sterck H. Algorithmic acceleration of parallel ALS for collaborative filtering: speeding up distributed big data recommendation in spark. In Gu T, Prasanna VK, editors, Proceedings of 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS 2015): 14-17 December 2015, Melbourne, Victoria, Australia. Piscataway, NJ: IEEE, Institute of Electrical and Electronics Engineers. 2015. p. 682-691 https://doi.org/10.1109/ICPADS.2015.91

Access to Document

10.1109/ICPADS.2015.91

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