Multi-roles affiliation model for general user profiling

Lizi Liao; Heyan Huang; Yashen Wang

doi:10.1007/978-3-319-22324-7_20

Multi-roles affiliation model for general user profiling

Lizi Liao^*
, Heyan Huang
, Yashen Wang

^*Corresponding author for this work

School of Computer Science and Technology

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

Abstract

Online social networks release user attributes, which is important for many applications. Due to the sparsity of such user attributes online, many works focus on profiling user attributes automatically. However, in order to profile a specific user attribute, an unique model is built and such model usually does not fit other profiling tasks. In our work, we design a novel, flexible general user profiling model which naturally models users’ friendships with user attributes. Experiments show that our method simultaneously profile multiple attributes with better performance.

Original language	English
Title of host publication	Database Systems for Advanced Applications - DASFAA 2015 International Workshops, SeCoP, BDMS, and Posters, Revised Selected Papers
Editors	Yoshiharu Ishikawa, Sarana Nutanong, An Liu, Tieyun Qian, Muhammad Aamir Cheema
Publisher	Springer Verlag
Pages	227-233
Number of pages	7
ISBN (Print)	9783319223230
DOIs	https://doi.org/10.1007/978-3-319-22324-7_20
Publication status	Published - 2015
Event	2nd International Workshop on Semantic Computing and Personalization, SeCoP 2015, 2nd International Workshop on Big Data Management and Service, BDMS 2015 held in conjunction with 20th International Conference on Database Systems for Advanced Applications, DASFAA 2015 - Hanoi, Viet Nam Duration: 20 Apr 2015 → 23 Apr 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9052
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Workshop on Semantic Computing and Personalization, SeCoP 2015, 2nd International Workshop on Big Data Management and Service, BDMS 2015 held in conjunction with 20th International Conference on Database Systems for Advanced Applications, DASFAA 2015
Country/Territory	Viet Nam
City	Hanoi
Period	20/04/15 → 23/04/15

Keywords

General user profiling
Multi-roles affiliation model
Social networks

Access to Document

10.1007/978-3-319-22324-7_20

Cite this

Liao, L., Huang, H., & Wang, Y. (2015). Multi-roles affiliation model for general user profiling. In Y. Ishikawa, S. Nutanong, A. Liu, T. Qian, & M. A. Cheema (Eds.), Database Systems for Advanced Applications - DASFAA 2015 International Workshops, SeCoP, BDMS, and Posters, Revised Selected Papers (pp. 227-233). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9052). Springer Verlag. https://doi.org/10.1007/978-3-319-22324-7_20

Liao, Lizi ; Huang, Heyan ; Wang, Yashen. / Multi-roles affiliation model for general user profiling. Database Systems for Advanced Applications - DASFAA 2015 International Workshops, SeCoP, BDMS, and Posters, Revised Selected Papers. editor / Yoshiharu Ishikawa ; Sarana Nutanong ; An Liu ; Tieyun Qian ; Muhammad Aamir Cheema. Springer Verlag, 2015. pp. 227-233 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{a5fad21dbe29451680bfdf5878c49f81,

title = "Multi-roles affiliation model for general user profiling",

abstract = "Online social networks release user attributes, which is important for many applications. Due to the sparsity of such user attributes online, many works focus on profiling user attributes automatically. However, in order to profile a specific user attribute, an unique model is built and such model usually does not fit other profiling tasks. In our work, we design a novel, flexible general user profiling model which naturally models users{\textquoteright} friendships with user attributes. Experiments show that our method simultaneously profile multiple attributes with better performance.",

keywords = "General user profiling, Multi-roles affiliation model, Social networks",

author = "Lizi Liao and Heyan Huang and Yashen Wang",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 2nd International Workshop on Semantic Computing and Personalization, SeCoP 2015, 2nd International Workshop on Big Data Management and Service, BDMS 2015 held in conjunction with 20th International Conference on Database Systems for Advanced Applications, DASFAA 2015 ; Conference date: 20-04-2015 Through 23-04-2015",

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doi = "10.1007/978-3-319-22324-7\_20",

language = "English",

isbn = "9783319223230",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "227--233",

editor = "Yoshiharu Ishikawa and Sarana Nutanong and An Liu and Tieyun Qian and Cheema, \{Muhammad Aamir\}",

booktitle = "Database Systems for Advanced Applications - DASFAA 2015 International Workshops, SeCoP, BDMS, and Posters, Revised Selected Papers",

address = "Germany",

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Liao, L, Huang, H & Wang, Y 2015, Multi-roles affiliation model for general user profiling. in Y Ishikawa, S Nutanong, A Liu, T Qian & MA Cheema (eds), Database Systems for Advanced Applications - DASFAA 2015 International Workshops, SeCoP, BDMS, and Posters, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9052, Springer Verlag, pp. 227-233, 2nd International Workshop on Semantic Computing and Personalization, SeCoP 2015, 2nd International Workshop on Big Data Management and Service, BDMS 2015 held in conjunction with 20th International Conference on Database Systems for Advanced Applications, DASFAA 2015, Hanoi, Viet Nam, 20/04/15. https://doi.org/10.1007/978-3-319-22324-7_20

Multi-roles affiliation model for general user profiling. / Liao, Lizi; Huang, Heyan; Wang, Yashen.
Database Systems for Advanced Applications - DASFAA 2015 International Workshops, SeCoP, BDMS, and Posters, Revised Selected Papers. ed. / Yoshiharu Ishikawa; Sarana Nutanong; An Liu; Tieyun Qian; Muhammad Aamir Cheema. Springer Verlag, 2015. p. 227-233 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9052).

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

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T1 - Multi-roles affiliation model for general user profiling

AU - Liao, Lizi

AU - Huang, Heyan

AU - Wang, Yashen

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - Online social networks release user attributes, which is important for many applications. Due to the sparsity of such user attributes online, many works focus on profiling user attributes automatically. However, in order to profile a specific user attribute, an unique model is built and such model usually does not fit other profiling tasks. In our work, we design a novel, flexible general user profiling model which naturally models users’ friendships with user attributes. Experiments show that our method simultaneously profile multiple attributes with better performance.

AB - Online social networks release user attributes, which is important for many applications. Due to the sparsity of such user attributes online, many works focus on profiling user attributes automatically. However, in order to profile a specific user attribute, an unique model is built and such model usually does not fit other profiling tasks. In our work, we design a novel, flexible general user profiling model which naturally models users’ friendships with user attributes. Experiments show that our method simultaneously profile multiple attributes with better performance.

KW - General user profiling

KW - Multi-roles affiliation model

KW - Social networks

UR - https://www.scopus.com/pages/publications/84949986345

U2 - 10.1007/978-3-319-22324-7_20

DO - 10.1007/978-3-319-22324-7_20

M3 - Conference contribution

AN - SCOPUS:84949986345

SN - 9783319223230

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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EP - 233

BT - Database Systems for Advanced Applications - DASFAA 2015 International Workshops, SeCoP, BDMS, and Posters, Revised Selected Papers

A2 - Ishikawa, Yoshiharu

A2 - Nutanong, Sarana

A2 - Liu, An

A2 - Qian, Tieyun

A2 - Cheema, Muhammad Aamir

PB - Springer Verlag

T2 - 2nd International Workshop on Semantic Computing and Personalization, SeCoP 2015, 2nd International Workshop on Big Data Management and Service, BDMS 2015 held in conjunction with 20th International Conference on Database Systems for Advanced Applications, DASFAA 2015

Y2 - 20 April 2015 through 23 April 2015

ER -

Liao L, Huang H, Wang Y. Multi-roles affiliation model for general user profiling. In Ishikawa Y, Nutanong S, Liu A, Qian T, Cheema MA, editors, Database Systems for Advanced Applications - DASFAA 2015 International Workshops, SeCoP, BDMS, and Posters, Revised Selected Papers. Springer Verlag. 2015. p. 227-233. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-22324-7_20

Multi-roles affiliation model for general user profiling

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