Extracting user profiles from large scale data

Michal Shmueli-Scheuer; Haggai Roitman; David Carmel; Yosi Mass; David Konopnicki

doi:10.1145/1779599.1779603

Extracting user profiles from large scale data

Michal Shmueli-Scheuer
, Haggai Roitman
, David Carmel
, Yosi Mass
, David Konopnicki

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

3 Scopus citations

Abstract

In this work we present the details of a large scale user profiling framework that we developed here in IBM on top of Apache Hadoop. We address the problem of extracting and maintaining a very large number of user profiles from large scale data. We first describe an efficient user profiling framework with high user profiling quality guarantees. We then describe a scalable implementation of the proposed framework in Apache Hadoop and discuss its challenges.

Original language	English
Title of host publication	Proceedings of the 2010 Workshop on Massive Data Analytics on the Cloud, MDAC 2010, in Association with the 19th Annual World Wide Web Conference, WWW2010
DOIs	https://doi.org/10.1145/1779599.1779603
State	Published - 16 Jul 2010
Externally published	Yes
Event	2010 Workshop on Massive Data Analytics on the Cloud, MDAC 2010, in Association with the 19th Annual World Wide Web Conference, WWW2010 - Raleigh, NC, United States Duration: 26 Apr 2010 → 26 Apr 2010

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2010 Workshop on Massive Data Analytics on the Cloud, MDAC 2010, in Association with the 19th Annual World Wide Web Conference, WWW2010
Country/Territory	United States
City	Raleigh, NC
Period	26/04/10 → 26/04/10

Keywords

Hadoop
large scale
user profile

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/1779599.1779603

Cite this

Shmueli-Scheuer, M., Roitman, H., Carmel, D., Mass, Y., & Konopnicki, D. (2010). Extracting user profiles from large scale data. In Proceedings of the 2010 Workshop on Massive Data Analytics on the Cloud, MDAC 2010, in Association with the 19th Annual World Wide Web Conference, WWW2010 Article 1779603 (ACM International Conference Proceeding Series). https://doi.org/10.1145/1779599.1779603

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title = "Extracting user profiles from large scale data",

abstract = "In this work we present the details of a large scale user profiling framework that we developed here in IBM on top of Apache Hadoop. We address the problem of extracting and maintaining a very large number of user profiles from large scale data. We first describe an efficient user profiling framework with high user profiling quality guarantees. We then describe a scalable implementation of the proposed framework in Apache Hadoop and discuss its challenges.",

keywords = "Hadoop, large scale, user profile",

author = "Michal Shmueli-Scheuer and Haggai Roitman and David Carmel and Yosi Mass and David Konopnicki",

year = "2010",

month = jul,

day = "16",

doi = "10.1145/1779599.1779603",

language = "English",

isbn = "9781605589916",

series = "ACM International Conference Proceeding Series",

booktitle = "Proceedings of the 2010 Workshop on Massive Data Analytics on the Cloud, MDAC 2010, in Association with the 19th Annual World Wide Web Conference, WWW2010",

note = "2010 Workshop on Massive Data Analytics on the Cloud, MDAC 2010, in Association with the 19th Annual World Wide Web Conference, WWW2010 ; Conference date: 26-04-2010 Through 26-04-2010",

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Shmueli-Scheuer, M, Roitman, H, Carmel, D, Mass, Y & Konopnicki, D 2010, Extracting user profiles from large scale data. in Proceedings of the 2010 Workshop on Massive Data Analytics on the Cloud, MDAC 2010, in Association with the 19th Annual World Wide Web Conference, WWW2010., 1779603, ACM International Conference Proceeding Series, 2010 Workshop on Massive Data Analytics on the Cloud, MDAC 2010, in Association with the 19th Annual World Wide Web Conference, WWW2010, Raleigh, NC, United States, 26/04/10. https://doi.org/10.1145/1779599.1779603

Extracting user profiles from large scale data. / Shmueli-Scheuer, Michal; Roitman, Haggai; Carmel, David et al.
Proceedings of the 2010 Workshop on Massive Data Analytics on the Cloud, MDAC 2010, in Association with the 19th Annual World Wide Web Conference, WWW2010. 2010. 1779603 (ACM International Conference Proceeding Series).

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

TY - GEN

T1 - Extracting user profiles from large scale data

AU - Shmueli-Scheuer, Michal

AU - Roitman, Haggai

AU - Carmel, David

AU - Mass, Yosi

AU - Konopnicki, David

PY - 2010/7/16

Y1 - 2010/7/16

N2 - In this work we present the details of a large scale user profiling framework that we developed here in IBM on top of Apache Hadoop. We address the problem of extracting and maintaining a very large number of user profiles from large scale data. We first describe an efficient user profiling framework with high user profiling quality guarantees. We then describe a scalable implementation of the proposed framework in Apache Hadoop and discuss its challenges.

AB - In this work we present the details of a large scale user profiling framework that we developed here in IBM on top of Apache Hadoop. We address the problem of extracting and maintaining a very large number of user profiles from large scale data. We first describe an efficient user profiling framework with high user profiling quality guarantees. We then describe a scalable implementation of the proposed framework in Apache Hadoop and discuss its challenges.

KW - Hadoop

KW - large scale

KW - user profile

UR - https://www.scopus.com/pages/publications/77954468086

U2 - 10.1145/1779599.1779603

DO - 10.1145/1779599.1779603

M3 - Conference contribution

AN - SCOPUS:77954468086

SN - 9781605589916

T3 - ACM International Conference Proceeding Series

BT - Proceedings of the 2010 Workshop on Massive Data Analytics on the Cloud, MDAC 2010, in Association with the 19th Annual World Wide Web Conference, WWW2010

T2 - 2010 Workshop on Massive Data Analytics on the Cloud, MDAC 2010, in Association with the 19th Annual World Wide Web Conference, WWW2010

Y2 - 26 April 2010 through 26 April 2010

ER -

Extracting user profiles from large scale data

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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